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Joint Russian Norwegian Arctic Fisheries Working Group (JRN-AFWG) Report 2024

Author(s): Daniel Howell , Magnus Aune , Bjarte Bogstad (IMR), Anatoly Chetyrkin (VNIRO), Johanna Fall (IMR), Anatoly Filin (VNIRO), Jane Aanestad Godiksen , Elvar H. Hallfredsson , Edda Johannesen (IMR), Yuri Kovalev (VNIRO), Andrey Mikhailov (VNIRO), Alexey Russkikh (VNIRO), Aleksi Stesko, (VNIRO), Dmitri Vasilyev (VNIRO), Mikko Vihtakari , Tone Vollen , Kristin Windsland (IMR) and Natalia Yaragina (VNIRO

Summary

On 30th March 2022 all Russian participation in ICES was temporally suspended. Although the announcement of the suspension stressed the role of ICES as a “multilateral science organization”, this suspension applied not only to research activities, but also to the ICES work providing fisheries advice for the sustainable management of fish stocks and ecosystems. As a result of the suspension, the ICES AFWG provided advice only for saithe, coastal cod north, coastal cod south, and golden redfish (Sebastes norvegicus). Northeast Arctic (NEA) cod, haddock and Greenland halibut assessments have been conducted outside of ICES in a newly constituted Joint Russian-Norwegian Working Group on Arctic Fisheries (JRN-AFWG). Although this work has been conducted independently of ICES, the methodologies agreed at ICES benchmarks and agreed HCRs (Harvest Control Rules) have been followed in providing this advice.

In 2024 we are giving 2-year advice for both Greenland halibut and beaked redfish. The beaked redfish model is planned for a method revision prior to the next advice.

Advice on fishing opportunities for NEA cod

The NEA cod stock is continuing to decline following a period of moderate to poor recruitment. Following the agreed HCR, the advice for 2025 is that catches should be no more than 311 587 tonnes. This is down from 453 427 because the stock is projected to fall below Bpa, and therefore the stability constraint on interannual catch variation does not apply. Provided that this advice is followed, then projections indicate that at current recruitment levels the stock should stabilize and start to rise after 2027.

Advice on fishing opportunities for NEA haddock

Advice is that catches in 2025 should not exceed 106 912 tonnes, down from  127 550 tonnes, from the advice in 2023. A relatively good yearclass in 2021 should enter the fishery in 2026- Provided that this yearclass is not heavily caught at small sizes then then should lead to an increase in stock and catches thereafter. In recent years there has been a rise in the catch of small haddock, and if this is not curtailed then there is a risk that a large part of the incoming yearclass could be fished before reaching a size to give optimum yield.

Advice on fishing opportunities for Greenland halibut

The Greenland halibut stock is projected to fall below Bpa in the course of 2024, which has resulted in lowered advice. The advice is that catches in 2025 should be no more than 12 431 tonnes, and catches in 2016 should be no more than 14 891. This stock has a history of quota and catches being set above advice, which has led to the decline of the stock. There is good yearclass in 2019 which offers a prospect of an increase in stock and advice – provided the advice is followed and the stock is not further reduced.

Advice on fishing opportunities for beaked redfish

The stock is at a high level, with SSB rising slowly and total fishable biomass relatively stable. The catch advice is no more than 67 191 tonnes in 2025 and 69 177 tonnes in 2026, compared to an advice of 70 164 tonnes for 2024. There has been a high retrospective pattern for this stock assessment, and a method revision is planned before the next advice is due (for the 2027 fishing season).

Chapter 1. Ecosystem considerations

The aim of this chapter is to identify important ecosystem information influencing the fish stocks. Ecosystem and climate changes, along with fishery, determine the stock dynamics of commercial species. Water temperature and ice conditions influence on distribution of the commercial fishes in the Barents Sea. Apart from this, temperature impacts on growth rate and mortality at the early stages (larvae, juveniles). Currents affect the strength of year-classes by providing transport of eggs, larvae and 0-group of commercial species from the spawning areas into the Barents Sea. Food availability is another important ecosystem driver that influence on the rate of growth and maturation of commercial fishes. It depends not only on the prey availability, but also on feeding competition. Mortality due to predation, including cannibalism, can greatly affect population abundance of commercial species. The impact of ecosystem changes on the dynamics of bycatches of juveniles and non-target species in mixed fisheries should also be taken into account.

Specification of the ecosystem impact on the assessed species :

Cod

The cod stock has been decreasing, but predictions indicate that it will stabilize on a low level. The main effect of the ecosystem impact on cod stock dynamics is manifested in the change in the abundance of its recruitment. There have not been any strong year-classes of cod since 2005 despite high cod SSB and above average sea temperatures. Recruitment has previously been shown to be positively correlated with both those factors, but in recent years this is no longer the case. Meso-zooplankton is important for survival of larvae and 0-group cod, so their distribution must overlap with areas of relatively high plankton biomasses. Despite a large number of studies (see e.g. summary in Ottersen et al., 2014), the underlying mechanism of the impact of the Barents Sea ecosystem on cod recruitment is still not well understood.

Haddock

Warm conditions are necessary, but not sufficient conditions to ensure good recruitment and growth. Plankton bloom (timing and strength) and influx are important for recruitment and feeding conditions are important for growth and reproduction. In 2019-2020 feeding conditions of haddock in the Barents Sea were poor, which reduced its condition. Older haddock includes a high proportion of benthic invertebrates in their diet, the availability of this prey group is not known. Reduction of cod stock and intermediate to high abundance of capelin could lead to less predation on haddock by cod, and therefore lower mortality on both pre-recruits and younger haddock recruited into the fishery.

Greenland halibut

The distribution of the Greenland halibut stock is very uneven in the Barents Sea and adjacent waters and strongly depends on the migrations that it makes throughout its life. The highest densities of adult fish are observed in spawning grounds on the slope of the continental shelf. Juveniles are widely distributed along the northern part of the shelf and their abundance in the Barents Sea may be affected by water temperature and currents, although the effect of these factors is not fully understood and uncertain. Growth and maturation of the Greenland halibut depend on prey abundance. Greenland halibut feeds on zooplankton, capelin, herring, polar cod and other small fishes. Cod can be both predator and food competitor for Greenland halibut. Cannibalism can also be observed in areas with overlapping of adults and juveniles. Mammals can consume Greenland halibut in the spawning areas.

Beaked redfish

As a boreal species, it is benefiting from the warming in the Barents Sea. Its stock has increased in recent years, but its stock assessment is characterized by high uncertainty. Feeding condition for beaked redfish in 2022-2023 were likely to be relatively stable. Cod and Greenland halibut are main predators for the beaked redfish. However, as abundance of these species is declining and abundance of capelin, herring and polar cod is increased, the predation pressure on redfish probably is relatively low. In recent years, the mortality rate of young beaked redfish has been high due to bycatches in the shrimp fishery (ICES AFWG, 2023). This strongly depends on the overlap between the distribution areas of redfish juveniles and shrimp fishery areas. The stock size and distribution of shrimp as well as currents and temperature affect this.

Current situation :

In the last six years, the Barents Sea coverage during the ecosystem survey (BESS) was incomplete in 2020 and 2022, making the evaluation of the ecosystem status more uncertain. The 20-th BESS was carried out during the period from 10-th August 2023 to 7th October 2023 by three Norwegian and one Russian research vessels. The temporal and spatial progression during the survey was good (Figure 1a,b).

Cruise tracks

Distribution map
Figure 1. Cruise lines and sample sites (top), day of year of sampling (bottom)

 

 

 

Abiotic conditions

A warming was evident in most of the central Barents Sea in 2023, with temperatures well above the long-term mean (1981-2010). However, the northwestern and southwestern parts were colder than both the long-term mean and the year before (2022). Ice coverage of the Barents Sea in 2023 was below both the long-term mean and that of 2022. The area of the Barents Sea occupied by bottom waters with a temperature < 0°C amounted to 17% and was substantially lower compared to the level of the previous four years (Fig. 1). According to the expert evaluation, Atlantic water temperature in the Murman Current in 202 4 is expected to decline slightly but remain typical of warm years. Due to high temperatures and low sea-ice extent in recent years, the ice coverage of the Barents Sea is expected to remain below normal. Lower than average ice coverage and longer duration of ice-free season, increase primary productivity of the Barents Sea.

 

percentage data
Figure 1. Area of bottom waters with different temperature ranges in the Barents Sea in September-October 2000-2023.

 

Mesozooplankton

The results from the joint Norwegian-Russian Barents Sea ecosystem cruise in autumn 2023 show the typical pattern of comparatively high mesozooplankton biomasses in the southwestern and northerly regions, and in the deeper part of the southeastern area. Biomasses were much lower on the banks in central regions, and particularly low in the southeastern corner of the Barents Sea. Considering the overall mesozooplankton biomass in 2023, the levels in western areas influenced by inflowing Atlantic water were comparable to earlier years when considering year-to-year variability. This was also the case for the bank regions in the central Barents Sea, as well as in the easternmost subareas. However, when studying size-fractioned biomass which is available for the Norwegian sector of the Barents Sea, the mid-size biomass fraction stands out with conspicuously low levels during the last four years. This size-fraction typically represents older stages of relatively large copepods such as Calanus and Metridia . In contrast, the smallest biomass size-fraction which generally represents small species or young stages of copepods, has shown comparatively high levels in the last two years. The low level of the mid-size biomass fraction (primarily representing large copepods) in later years is worth noting when considering the feeding conditions for fish and other predators in the ecosystem.

Prey stocks

Euphausiids, amphipods and shrimp are important prey for most commercial fish in the Barents Sea. In 2023 the total biomass of euphausiids was slightly less than long term mean (2015-2021). In recent years, the northern shrimp stock has remained stable, showing fluctuations but without a clear trend.

Capelin, polar cod and young herring are the main forage pelagic fish in the Barents Sea, which are important prey for most predators in the area, including commercial demersal species. These species are very sensitive to various changes in the ecosystem, the influence of predators, fishing, or the plankton availability. Historically, their stocks change rapidly depending on year-classes strength. Capelin abundance is still around average level now and will likely have a negative trend in 2024-2025 due to lack of strong year classes in 2021-2022 and probably insufficient feeding conditions. The average length and weight of capelin remains very low most likely due to the low biomass of plankton in the feeding areas. The recent strong herring year classes may have a negative impact on capelin recruitment also. The 2022-2023 year- classes of herring were very abundant at 0-group stage and confirmed by other recent observations. This gives a probable increase in the herring stock in the next 4-5 years. Polar cod biomass very uncertain since in recent years the area of polar cod distribution was not covered well in the ecosystem surveys. The polar cod stock is likely increasing since the consumption of cod has been much lower in recent years. In 2023, abundant polar cod at age 0 were mainly found around the Svalbard (Spitsbergen) in 2023 and for the first time since the observations started in 1980, the record strong year class came from this area.

Fish diets

Cod is a main predator in the Barents Sea. Its diet was relatively stable in recent years; capelin was the main prey. The diet composition of cod in 2023 was similar to that in 2022 (Fig. 2). Since 2013 the importance of snow crab considerably increased in cod diet and consisted of 3-7 % by weight (Fig. 3). It should be noted that in 2022-2023 an unexpected increase of red king crab up to 3-5 % by weight in the diet was observed (Fig.3), but cod consume only crab legs, empty carapaces after molting or individuals with soft carapace immediately after molting. Fig. 4 shows the consumption by cod in the period 1984-2023. Consumption of most prey decreased from 2022 to 2023 due to decrease in cod abundance.

Fig. 5 and 6 show the proportion of cod and haddock in the diet of cod. Predation of cod on juvenile cod and haddock was relatively low in recent years, but the proportion of haddock in cod diet is increasing, which is consistent with the increased abundance of young haddock in recent years.

Individual growth of cod has increased somewhat in recent years, but now seems to have stabilized. Feeding conditions for cod are expected to be adequate in the near future, as the cod likely will be able to feed on other prey if the capelin stock decreases (see Gjøsæter et al. 2009 for a discussion of ecosystem effects of capelin collapses). Also, the cod stock is decreasing so there will be less competition for food.

The diet composition of haddock is presented in Fig. 7. Haddock is benthivorous species and feed mainly on polychaets, echinoderms and molluscs (on average up to 43 % by weight). However, euphausiids and fish (including capelin and herring) can be important prey items (on average up to 13 % and 17 % by weight respectively ).

Diet composition
Figure 2. Diet composition of cod in 1984-2023, % by weight (The state …, 2024).

 

 

Crab trends
Figure 3. Importance of snow crab and red king crab in diet of cod in 1984-2023, % by weight

 

 

cod consumption
Figure 4. Consumption of various prey items by cod in 1984-2023. Norwegian calculations.

 

 

Proportion cod in diet
Figure 5. Proportion of cod in cod diet by predator age group.

 

 

Proportion of haddock in cod diet
Figure 6. Proportion of haddock in cod diet by predator age group.

 

 

Diet composition
Figure 7. Diet composition of haddock in 1993-2023, % by weight (The state …, 2024).

 

Reference

Gjøsæter, H., Bogstad, B., and Tjelmeland, S. 2009. Ecosystem effects of three capelin stock collapses in the Barents Sea. In Haug, T., Røttingen, I., Gjøsæter, H., and Misund, O. A. (Guest Editors). 2009. Fifty Years of Norwegian-Russian Collaboration in Marine Research. Thematic issue No. 2, Marine Biology Research 5(1):40-53. Doi: 10.1080/17451000802454866

Ottersen, G., Bogstad, B., Yaragina, N. A., Stige, L. C., Vikebø, F., and Dalpadado, P. 2014. A review of early life history dynamics of Barents Sea cod (Gadus morhua). ICES Journal of Marine Science 71(8): 2064-2087.

The state of biological resources of the Barents, White and Kara Seas and the North Atlantic in 2023. / Murmansk, PINRO 2024, 170 p.

van der Meeren, G. and Prozorkevitch, D. (eds.) 2023. Survey report from the joint Norwegian/Russian Ecosystem Survey in the Barents Sea and the adjacent waters August- December 2022. IMR/PINRO-report series x/2023 (in prep)

Survey report (Part 1) from the joint Norwegian/Russian Ecosystem Survey in the Barents Sea and the adjacent waters August-October 2023 Report series: IMR-PINRO Year - No.: 2024-2 Date: 20.11.2023 DOI: 10.13140/RG.2.2.19519.07842

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Chapter 3. Northeast Arctic Cod (Subareas 1 and 2)

 

Status of the fisheries

Historical development of the fisheries (Table 3.1)

From a level of about 900 000 t in the mid-1970s, total catch declined steadily to around 300 000 t in 1983—1985 (Table 3.1). Catches increased to above 500 000 t in 1987 before dropping to 212 000 t in 1990, the lowest level recorded in the post-war period. The catches increased rapidly from 1991 onwards, stabilized around 750 000 t in 1994—1997 but decreased to about 414 000 t in 2000. From 2000—2009, the reported catches were between 400 000 and 520 000 t, in addition there were unreported catches (see below). Catches have been above the long-term average since 2011 and have decreased from a peak of 986 000 tonnes in 2014 to 693 000 tonnes in 2019-2020 before increasing to 767 000 tonnes in 2021 and decreasing again to 582 552 tonnes in 2023. The fishery is conducted both with an international trawler fleet and with coastal vessels using traditional fishing gears. Quotas were introduced in 1978 for the trawler fleets and in 1989 for the coastal fleets. In addition to quotas, the fishery is regulated by a minimum catch size, a minimum mesh size in trawls and Danish seines, a maximum bycatch of undersized fish, closure of areas having high densities of juveniles and by seasonal and area restrictions.

Reported catches prior to 2024 (Tables 3.1-3.4, Figure 3.1)

The provisional catch of cod in Subarea 1 and divisions 2.a and 2.b for 2023 reported to the working group is 630 662 t (including both NEA cod and NCC catches).

The historical practice (considering catches between 62°N and 67°N for the whole year and catches between 67°N and 69°N for the second half of the year to be Norwegian coastal cod) has been used for estimating the Norwegian landings of Northeast Arctic cod up to and including 2011 (Table 3.2). The catches of coastal cod subtracted from total cod catches in Subarea 1 and divisions 2.a and 2.b for the period 1960—2023 are given in Table 3.2. For 2012–2023 the Norwegian catches have been analysed by an ECA-version designed for simultaneously providing estimates of catch numbers-at-age for each of the two stocks.

Coastal cod catches in 2023 for the southern and northern area combined were 48 110 tonnes and this amount was as in previous years subtracted from the total cod catch north of 62° N to get the figure for NEA cod used in that assessment (Table 3.1 and 3.2).

The time series for coastal cod catches are now inconsistent with the coastal cod catches presented in ICES AFWG 2024 Chapter 2, as the coastal cod catch time series were revised at WKBarFar, but not the NEA cod time series. At WKBarFar, the proposal for revision of NEA cod catch data series was rejected, as Norwegian data for many years and age groups (especially ages 12+ in years prior to 2013) were changed considerably and the reason for this was not sufficiently explained. WKBarFar recommended that when the revision of the historical Norwegian catch data is ready it should be submitted to ICES for review, ideally by a review attached to the AFWG.

The catch by area is shown in Table 3.1, and further split into trawl and other gears in Table 3.3. The distribution of catches by gears in 2023 was similar to 2022, while the proportion of catches taken in area 2b decreased markedly. The nominal landings by country are given in Table 3.4.

There is information on cod discards (see ICES AFWG 2021 section 0.4) but it was not included in the assessment because these data are fragmented and different estimates are in contradiction with each other. Moreover the level of discards is relatively small in the recent period and inclusion of these estimates in the assessment should not change our perception on NEA cod stock size.

In summer/autumn 2018, a Norwegian vessel caught 441 t of cod in the Jan Mayen EEZ, which is a part of ICES area 2a, mostly by long-line. Cod is known to occasionally occur in this area, but rarely in densities which are suitable for commercial fisheries. The cod caught in this area in 2018 was large (65-110 cm), and otolith readings and genetics both showed this cod to be a mix of Northeast Arctic and Icelandic cod. Norway did in 2019-2020 carry out an experimental long-line fishery during four different periods in each year in order to investigate further the occurrence of cod in this area in space and time as well as stock identity. A description of this fishery as well as a historic overview of cod observations around Jan Mayen is given in Bogstad (2023).

Quotas, catches and advice for the period 2019-2024 for cod in the Jan Mayen area are given in Table 3.1a. These catches are not included in the catch statistics for Northeast Arctic cod.

Unreported catches of Northeast Arctic cod (Table 3.1)

In the years 2002—2008 certain quantities of unreported catches (IUU catches) have been added to the reported landings. More details on this issue are given in the Working group reports for that period.

There are no reliable data on level of IUU catches outside the periods 1990—1994 and 2002—2008, but it is believed that their level was not substantial enough to influence on historical stock assessment.

According to reports from the Norwegian-Russian analysis group on estimation of total catches the total catches of cod since 2009 were very close to officially reported landings.

TACs and advised catches for 2023 and 2024

The Joint Norwegian-Russian Fisheries Commission (JNRFC) agreed on a cod TAC of 566 784 t for 2023, and in addition 21 000 t Norwegian coastal cod. The total reported catch of 630 662 t in 2023 was 42 878 t above the agreed TAC. Since 2015 JNRFC has decided that Norway and Russia can transfer to next year or borrow from last year 10% of the cod country’s quota. That may lead to some deviation between agreed TAC and reported catch. As an extraordinary measure due to expected underfishing of the TAC in 2021, JNRFC decided that it should be possible to transfer 15% of the TAC between 2021 and 2022, but thereafter the maximum transfer was reset back to the agreed 10%.

The advice for 2024 given by JRN-AFWG in 2023 was 453 427 t based on the agreed harvest control rule. The quota established by JNRFC for 2024 was set equal to the advice. In addition, the TAC for Norwegian Coastal Cod was set to the same value for 2024 as for 2023: 21 000 t.

Status of research

Fishing effort and CPUE (Table A1, Figure 3.4-3.5)

CPUE series of the Norwegian and Russian trawl fisheries are given in Table A1. The data reflect the total trawl effort (Figure 3.4), both for Norway and Russia. The Norwegian series is given as a total for all areas. Norwegian data for 2011–2023 are not compatible with data for 2007 and previous years. Norwegian CPUE declined from 2020 to 2023 and reached the lowest level in the 2011-2023 time series (Figure 3.5). Note that double trawl is now the dominant gear in the Norwegian trawl fishery (Nedreaas and Otterå WD02), but trends are the same for single and double trawl. Russian CPUE in area 2a in 2022-2023 was the lowest since 1999 and in area 1 in 2023 it was the lowest since 2006, while in area 2b it increased somewhat from 2022 to 2023.

Survey results - abundance and size at age (Tables 3.5, A2-A14)

Joint Barents Sea winter survey (bottom trawl and acoustics) Acronyms: BS-NoRu-Q1 (BTr) and BS-NoRu-Q1 (Aco)

The survey was carried out as planned with relatively good spatial coverage, although bad weather and ice limited the coverage somewhat.

Before 2000 this survey was made without participation from Russian vessels, while in 2001—2005, 2008—2016 and 2018-2024 Russian vessels have covered important parts of the Russian zone. In 2006—2007 the survey was carried out only by Norwegian vessels. In 2007, 2016, and 2021-2024 the Norwegian vessels did not cover any part of the Russian EEZ. The methods for adjustment for incomplete area coverage are described in detail in Fall et al. (2024) and references therein. Table 3.5 shows areas covered in the time-series and the additional areas implied in the method used to adjust for missing coverage in the Russian Economic Zone.

Regarding the older part of this time-series it should be noted that the survey prior to 1993 covered a smaller area (Jakobsen et al . 1997), and the number of young cod (particularly 1- and 2-year old fish) was probably underestimated. Changes in the survey methodology through time are described in Appendix 2 in Fall et al. (2024). Note that the change from 35 to 22 mm mesh size in the codend in 1994 is not corrected for in the time-series. This mainly affects the age 1 indices.

It is likely that in recent years the coverage in the February survey (BS-NoRu-Q1 (BTr) and BS-NoRu-Q1 (Aco)) has been incomplete, in particular for the younger ages. This could cause a bias in the assessment, but the magnitude is unknown. The 2014–2024 surveys covered considerably larger areas than earlier winter surveys, and showed that most age groups of cod (particularly ages 1 and 2) were distributed far outside the standard survey area. The bottom trawl survey estimates including the extended area for 2014-2024 were used in the tuning data separately from the same index before 2014, as decided at WkBarFar 2021.

Lofoten acoustic survey on spawners Acronym: Lof-Aco-Q1

The estimated abundance indices from the Norwegian acoustic survey off Lofoten and Vesterålen (the main spawning area for this stock) in March/April are given in Table A4. A description of the survey, sampling effort and details of the estimation procedure can be found in Korsbrekke (1997). The 2024 survey results in biomass terms was 108 thousand tonnes, this is 16 % below the 2023 level and the lowest since 2001.

A pilot survey on spawning grounds north of the area covered by the Lofoten survey was carried out in 2023 (Korsbrekke 2024), at about the same time and in the same way as the Lofoten survey. The total abundance in that area was about 17% of that in the Lofoten area. The area covered by this pilot survey is mostly covered also by the winter survey, but with much larger distance between transects at that time.  Such a survey was not carried out in 2024.

Joint Ecosystem survey Acronym: Eco-NoRu-Q3 (Btr)

Swept area bottom trawl estimates from the joint Norwegian-Russian ecosystem survey in August-September for the period 2004–2023 are given in Table A14. This survey normally covers the entire distribution area of cod at that time of the year.

In 2014 this survey had an essential problem with area coverage in the north-west region because of difficult ice conditions. In the area covered by ice in 2014 a substantial part of population was distributed during 2013 survey. So, based on those observations AFWG decided in 2015 to exclude 2014 year from that tuning series in current assessment. In 2016 there was incomplete coverage in the international waters and close to the Murman coast. An adjustment for this incomplete coverage was made based on interpolation from adjacent areas (Kovalev et al 2017, WD 12). At this time of the year, usually a relatively small part of the cod stock is found in the area which was not covered in 2016. In 2017 and 2019 the coverage was close to complete, although the far northeastern part of the survey area (west of the north island of Novaya Zemlya) was not covered due to military restrictions. In 2018, a large area in the eastern part of the Barents Sea was not covered. Thus it was decided not to include 2018 data from this survey in the assessment.

The coverage in 2020 was less synoptic than usual, but it was decided to keep the results in the assessment. The 2021 and 2023 coverage was adequate.

In 2022 the coverage of the Russian EEZ was done much later than the coverage of the Norwegian EEZ, with the entire survey period being from 15 August to 3 December (van der Meeren and Prozorkevitch, 2023). Also some areas were not covered. Indices based on the combined data have been calculated (Table A14), but due to the poor synopticity and incomplete coverage it was decided not to use the index for that year in the assessment.

The survey indices are calculated both the BioFox and StoX calculation methods, and as in earlier years, the Biofox series was used in the tuning. A research recommendation from WkBarFar was to unify these two methods for estimating indices from ecosystem survey. However, the benchmark decided to use weight at age from the StoX in calculations of weight at age used in the assessment.

Russian autumn survey Acronym: RU-BTr-Q4

Abundance estimates from the Russian autumn survey (November-December) are given in Table A9 (acoustic estimates) and Table A10 (bottom trawl estimates). The entire bottom trawl time-series was in 2007 revised backwards to 1982 (Golovanov et al ., 2007, WD3), using the same method as in the revision presented in 2006, which went back to 1994. The new swept area indices reflect Northeast Arctic cod stock dynamics more precisely compared to the previous one - catch per hour trawling. The Russian autumn survey in 2006 was carried out with reduced area coverage. Divisions 2a and 2b were adequately investigated in the survey in contrast to Subarea 1, where the survey covered approximately 40% of the long-term average area coverage. The Subarea 1 survey indices were calculated based on actual covered area (40 541 sq. miles). The 2007 AFWG decided to use the “final" year class indices without any correction because of satisfactory internal correspondence between year class abundances at age 2—9 years according to the 2006 survey and ones due to the previous surveys.

This survey was not conducted in 2016, but was carried out in 2017, when 79% of the standard survey area was covered (Sokolov et al 2018, WD 11). The index shows a reliable internal consistence and it was decided to use it in the assessment. This survey was not carried out in 2018-2023 and is discontinued.

Survey results - length and weight-at-age (Tables A5-A8, A11-A12, A15, A16)

Length-at-age is shown in Table A5 for the Joint survey in the Barents Sea in winter, in Table A7 for the Lofoten survey and in Table A11 for the Russian survey in October-December. Weight-at-age is shown in Table A6 for the Norwegian survey in the Barents Sea in winter, in Table A8 for the Lofoten survey, Table A12 for the Russian survey in October-December and Table A15 for the BESS survey (calculated using StoX). Table A16 presents combined data on Weight-at-age from winter survey and Lofoten survey.

Length and weight at age in the Joint winter survey in the Barents Sea was fairly stable from 2023 to 2024, with some increase noted for ages 4 and 7. Weight at age in the Lofoten survey decreased for ages 6-9. The size at age in the BESS survey showed little change from 2022 to 2023.

Age reading

The joint Norwegian-Russian work on cod otolith reading has for many years included regular exchanges of otoliths and age readers (see ICES AFWG 2021 chapter 0.7). The results of fifteen years of annual comparative age readings are described in Yaragina  et al . (2009). Zuykova  et al . (2009) re-read old otoliths and found no significant difference in contemporary and historical age determination and subsequent length at age. However, age at first maturation in the historical material as determined by contemporary readers is somewhat younger (from -0.6 years for the 1940-1950s to -0.28-0 years for the 1970-1980s) than that determined by historical readers. Taking this difference into account would thus have effect on the spawning stock-recruitment relationship and thus on the biological reference points.

The overall percentage agreement for the 2017–2018 exchange was 87.7% (Zuykova et al. 2020). The main reason for cod ageing discrepancies between Russian and Norwegian specialists remains the same, representing the latest summer growth zone, and different interpretations of the false zones. The general trend is that the Russian readers assign slightly lower ages than the Norwegian readers compared to the modal age for age groups 7 years and older. This is opposite of what we have seen in previous readings, where the Russian readers has tended to be slightly overestimating the age compared to the Norwegian readers for younger fish (1-5 years), underestimating for older fish (>10 years) and reading without significant difference for ages 6-9 years.

The trend with bias in NEA cod age determination registered for some years of the period 1992–2018 between experts of both countries is a solid argument to continue comparative cod age reading between PINRO and IMR to monitor the situation. The German participant has expressed an intention to join the age reading cooperation in future.

  Cod otoliths from 2019-2023 have not yet been exchanged between the parties. A system for transferring otoliths between IMR and Polar Branch of VNIRO needs to be set up to resume regular calibration of age readings. Images of otoliths are intended to be temporarily used instead of a physical exchange of otoliths until a system for exchange is in place.

Data available for use in assessment

Data for the period 1946–1983 are taken from the AFWG 2001 report (ICES CM 2001/ACFM:19) and were not revised at the WKBarFar benchmark in 2021.

Catch-at-age (Table 3.6)

For 2023, age compositions from all areas were available from Norway, Russia, Spain and Germany.

There is a concern about the biological sampling from parts of both the Norwegian and Russian fishery that may be too low or missing. Also the split between NEA cod and coastal cod may be affected by the sampling coverage. Data from Norwegian Coast Guard vessels’ length measurements onboard Russian vessels in some quarters of 2023 were used for calculation of age composition of Russian catches in Division 1, 2a and 2b.

Survey indexes available for use in assessment (Table 3.13, A13)

The following survey data series were available:

Surveys used in assessment
Fleet code Name Place Season Age Years
Fleet 15* Joint bottom trawl survey Barents Sea Feb-Mar 3–12+ 1981–2013, 2014-2024
Fleet 16 Joint acoustic survey Barents Sea+Lofoten Feb-Mar 3–12+ 1985–2024
Fleet 18 Russian bottom trawl surv. Barents Sea Oct-Dec 3–12+ 1982–2017
Fleet 007 Ecosystem surv. Barents Sea Aug-Sep 3–12+ 2004–2023**

*Survey indices for Fleet 15 were divided by two series (before and after 2014) in model tuning as decided at WKBarFar 2021.

**2014, 2018 and 2022 data not used in the assessment

The tuning fleet file is shown in Table 3.13. Note that the joint acoustic survey (sum of Barents Sea and Lofoten acoustic survey indices) is given in Table A13.

Survey indices for Fleet 15 have been multiplied by a factor 100, while survey indices for Fleets 007, 16 and 18 have been multiplied by a factor 10. This is done to keep the dynamics of the surveys even for very low indices, because some models (e.g. XSA) adds 1.0 to the indices before the logarithm is taken.

Weight-at-age (Tables 3.7-3.9, A2, A4, A6, A8, A12, A16).

Catch weights

For 2023, weight-at-age in the catch for areas 1, 2a and 2b was provided by Norway, Russia, Spain and Germany (Table 3.7). For ages up to and including 11, observations are used. Following the WKBarFar 2021 decision, weight at age in catch for the years 1983-present for ages 12-15+ are calculated by a cohort-based von Bertalanffy approach used to replace previous fixed values.

Stock weights

For ages 1—11 stock weights-at-age at the start of year y (Wa,y ) for 1983—2024 are calculated combining, when available, weight at age from the Winter, Lofoten, Russian autumn and ecosystem surveys. The details are given in the Stock Annex. For ages 12-15+ a similar approach as for weight at age in the catch was used.

Natural mortality including cannibalism (Table 3.12, Table 3.17)

A natural mortality (M) of 0.2 + cannibalism was used. Cannibalism is assumed to only affect natural mortality of ages 3-6.

2023 data are available and 2022 data have been updated.

The method used for calculation of the prey consumption by cod described by Bogstad and Mehl (1997) is used to calculate the consumption of cod by cod for use in cod stock assessment. The consumption is calculated based on cod stomach content data taken from the joint PINRO-IMR stomach content database (methods described in Mehl and Yaragina 1992). On average about 9000 cod stomachs from the Barents Sea have been analysed annually in the period 1984—2023.

These data are used to calculate the per capita consumption of cod by cod for each half-year (by prey age groups 0—6 and predator age groups 1–11+). It was assumed that the mature part of the cod stock is found outside the Barents Sea for three months during the first half of the year. Thus, consumption by cod in the spawning period was omitted from the calculations.

An iterative procedure was applied to include the per capita consumption data in the SAM run. It is described in detail in Stock Annex.

For the cod assessment data from annual sampling of cod stomachs has been used for estimating cannibalism, since the 1995 assessment. The argument has been raised that the uncertainty in such calculations are so large that they introduce too much noise in the assessment. A rather comprehensive analysis of the usefulness of this was presented in Appendix 1 in the 2004 AFWG report. The conclusion was that it improves the assessment.

The data on cod cannibalism for the historical period (1946—1983) was included in assessment during the benchmark to make the time-series consistent (ICES 2015, WKARCT 2015). These estimates were based on hindcasted values of NEA cod natural mortality at ages 3—5 using PINRO data base on food composition from cod stomach for the historical period (Yaragina et al . 2018).

Maturity-at-age (Tables 3.10-3.11)

Historical (pre–1982) Norwegian and Russian time-series on maturity ogives were reconstructed by the 2001 AFWG meeting (ICES CM 2001/ACFM:19). The Norwegian maturity ogives were constructed using the Gulland method for individual cohorts, based on information on age at first spawning from otoliths. For the time period 1946—1958 only the Norwegian data were available. The Russian proportions mature-at-age, based on visual examinations of gonads, were available from 1959.

Since 1982 Russian and Norwegian survey data have been used (Table 3.10). For the years 1985—2024, Norwegian maturity-at-age ogives have been obtained by combining the Barents Sea winter survey and the Lofoten survey. Russian maturity ogives from the autumn survey as well as from commercial fishery for November-February are available from 1984 until present. The Norwegian maturity ogives tend to give a higher percent mature-at-age compared to the Russian ogives, which is consistent with the generally higher growth rates observed in cod sampled by the Norwegian surveys. The percent mature-at-age for the Russian and Norwegian surveys have been arithmetically averaged for all years, except 1982—1983 when only Norwegian observations were used and 1984 when only Russian observations were used.

Russian data for the autumn survey for 2018 and later years were not available as the survey was not conducted. In WD15, 2019, updated correction factors to allow for this when calculating the combined maturity-at-age in 2019 were calculated, based on historical differences between Norwegian and Russian data. These correction factors were then applied to the Norwegian data for 2020-2024.

The approach used for calculating maturity at age is the same as previously used and consistent with the approach used to estimate the weight-at-age in the stock, except that no data from the BESS survey are used. However, since survey data, both abundance indices and proportion mature, have been revised, the entire time series of ogives back to 1994 was revised at the benchmark. The proportions of mature cod for age 13–15 are set to 1 for the period 1984–present.

Maturity-at-age for cod has been variable the last years, particularly for ages 6–9. According to the combined data, maturity at age increased from 2023 to 2024 for age groups 6 and 9 and decreased for ages 7 and 8 (Table 3.11).

Assessment using SAM

SAM settings (Table 3.14)

The SAM model settings optimised by WKBarFar are shown in Table 3.14.

SAM diagnostics (Figure 3.2 a-e)

Residuals for the SAM run are shown in Figure 3.2a, while model retrospective plots of F, SSB and recruitment are shown in Figure 3.2b. Historical retrospective pattern for final SAM run are shown in Figure 3.2c. Figure 3.2d compares observed and modelled catches in tonnes and Figure 3.2e shows the catchability by survey and age group.

The retrospective pattern is generally good (Figure 3.2b), with absolute values of Mohn’s rho < 13% for SSB, R and F.

Results of assessment (Tables 3.15-3.18, Figure 3.1)

Summaries of landings, fishing mortality, stock biomass, spawning stock biomass and recruitment since 1946 are given in Table 3.18 and Figure 3.1.

The fishing mortalities and population numbers are given in Tables 3.15 and 3.16.

The estimated F5-10 in 2023 is 0.589, which is above Fpa and within the Fmsy range (Table 3.18). Fishing mortality has been increasing steadily in recent years, but now seems to have levelled off. The spawning stock biomass in 2024 is estimated to be 552 kt (Table 3.20), which is the lowest since 2002, and much lower than the peak in 2013 (2,211 kt). When comparing farther back in time, one should bear in mind that in the early part of the time-series (before the 1980s) the fraction at age of mature fish was considerably lower.

Total stock biomass in 2024 is estimated to 1,289 kt, which is somewhat below the long-term mean and well below the highest level observed after 1955 (3,695 kt in 2013).

It is noted that the exploitation pattern is still dome-shaped with a marked decrease in selectivity above age 12, although the dome-shape is not as strong as in assessments made before the 2021 benchmark.

M values (M = 0.2+cannibalism mortality) are given in Table 3.17. For ages 3—5 the M matrix in 1946—1983 also includes cannibalism mortality since the benchmark meeting in 2015 (WKARCT 2015).

Reference points and harvest control rules

The current reference points for Northeast Arctic cod were estimated by SGBRP (ICES CM 2003/ACFM:11) and adopted by ACFM at the May 2003 meeting.

At the 46th session of JNRFC a new version of the management rule was adopted (see section 3.5.3) . The TAC advice for 2025 is based on the agreed harvest control rule.

Biomass reference points

The values adopted by ACFM in 2003 are Blim = 220 000 t, Bpa = 460 000 t. (ICES CM 2003/ACFM:11).

Fishing mortality reference points

The values adopted by ACFM in 2003 are Flim = 0.74 and Fpa = 0.40 (ICES CM 2003/ACFM:11). The Fmsy for NEA cod was estimated by WKBarFar 2021 to be in the range 0.40 - 0.60.

Harvest control rule

The history of how the harvest control rule has developed is given in the 2017 AFWG report. JNRFC in 2015 asked ICES to explore the consequences of 10 different harvest control rules. This was done by WKNEAMP (ICES 2015, 2016). JNRFC in 2016 adopted one of the rules explored by WKNEAMP (Rule 6 in that report).

The current rule reads as follows:

The TAC is calculated as the average catch predicted for the coming 3 years using the target level of exploitation (Ftr ).

The target level of exploitation is calculated according to the spawning stock biomass (SSB) in the first year of the forecast as follows:

- if SSB < Bpa, then Ftr = SSB / Bpa × Fmsy ;

- if Bpa ≤ SSB ≤ 2×Bpa, then Ftr = Fmsy ;

- if 2×Bpa < SSB < 3×Bpa, then Ftr = Fmsy × (1 + 0.5 × (SSB - 2×Bpa) / Bpa );

- if SSB ≥ 3×Bpa, then Ftr = 1.5 × Fmsy ;

where Fmsy=0.40 and Bpa =460 000 tonnes.

If the spawning stock biomass in the present year, the previous year and each of the three years of prediction is above Bpa, the TAC should not be changed by more than +/- 20% compared with the previous year’s TAC. In this case, Ftr should however not be below 0.30.

Prediction

Prediction input (Tables 3.19a)

The input data to the short-term prediction with management option table (2024—2027) are given in Table 3.19a. For 2024 stock weights and maturity were calculated from surveys as described in Sections 3.3.2 and 3.3.4.

Catch weights in 2024 onwards and stock weights in 2025 and onwards for age 3–11 are predicted by the method described by Brander (2002), where the latest observation of weights by cohort are used together with average annual increments to predict the weight of the cohort the following year. The method is given by the equation

W(a+1,y+1)=W(a,y) + Incr(a), where Incr(a) is a “medium term” average of Incr(a,y)= W(a+1,y+1)-W(a,y)

This method was introduced in the cod prediction in the 2003 working group. Since the 2005 working group an average of the 3 most recent values of annual increments have been used for predicting stock weights. For catch weights the last 5-year period for averaging the increments is used (changed from 10-year period at the 2021 benchmark).

The maturity ogive for the years 2025—2027 was predicted by using the 2022-2024 average. The fishing pattern in 2024 and later years was set equal to the previous 3 years. The stock annex prescribes average over 5 years, but as there has been a clear shift in the fishing pattern in recent years towards exploiting younger fish, a 3-year average was considered to be more appropriate. A 3-year average was also used in last year’s assessment.

The stock number-at-age in 2024 was taken from the final SAM run (Table 3.16) for ages 4 and older. The recruitment at age 3 in the years 2024—2027 was estimated as described in section 3.7.2. Figure 3.3 shows the development in natural mortality due to cannibalism for cod (prey) age groups 1-3 together with the abundance of capelin in the period 1984—2023. There was no clear trend in natural mortality, but the average M values for the last 3 years are used to predict natural mortality of age groups 3—6 for years 2024—2027 (based on benchmark decision, WKARCT 2015 and unchanged at WKBaRFar 2021).

The assessment shows an increasing F from 2012 to 2023. In accordance with the benchmark decision (WKARCT 2015, not reviewed at WKBarFar 2021) and with support from AFWG-2019 WD 11 (Kovalev and Chetyrkin, 2019), the last year’s assessment F in terminal year 2023 (status quo) is used for F in the intermediate year (2024). Table 3.19 shows input data to the predictions. The results of prediction show that the catch in 2024 predicted using Fsq is close to the agreed TAC.

Recruitment prediction (Table 3.19b-c)

At the 2008 AFWG meeting it was decided to use a hybrid model, which is a weighted arithmetic mean of different recruitment models. This model has not performed well in recent years (as shown e.g. in Fig. 3.2c for the prediction of age 3 abundance in the assessment (intermediate) year. Also, the 2023 JRN-AFWG concluded a review of recruitment models was needed. Additionally, some of the oceanographic time series used in the hybrid model are no longer updated. Thus, a thorough analysis of existing recruitment models and five proposed new models, as well as using recent averages of recruitment values was carried out (Kovalev and Chetyrkin, WD6).

First, an analysis was carried out based on the results of the 2023 assessment, and models were evaluated based on how well they performed over the period 2010-2022. For the models which performed best, the analysis was repeated based on the 2024 assessment and their performance for the period 2014-2023. The input data for the RCT3 model, which is one of those considered in this final analysis, is given in Table 3.19b and the results in Table 3.19c. A summary of the results of the models considered for use in the prediction is given in Table 3.19d. Based on the model performance, the RCT3 model was chosen for predicting 1-3 years ahead (i. e. the recruitment at age 3 in 2024, 2025 and 2026), and an average of the recent 4 years was chosen to predict 4 years ahead (i.e. the recruitment at age 3 for 2027 being calculated as the 2021-2024 average). This gave recruitment values of 587 million for 2024, 450 million for 2025, 375 million for 2026 and 340 million for 2027. For the age 3 recruitment in 2024, the results of running RCT3 with/without the ecosystem survey and SAM were all very similar.

It is suggested to rerun an analysis of various recruitment models each year.

Issues to be considered for the future:

Including the ecosystem survey in the RCT3 analysis.

Evaluate the performance of the SAM model for the 1-year-ahead prediction. The Mohn’s rho for SAM is currently quite good (12% for the last 5 years), but the retrospective performance of SAM has not been compared to the models proposed in WD6.

Prediction results (Tables 3.20-3.21)

The catch corresponding to Fsq in 2024 is 477 185 tonnes (Table 3.20), which is close to the agreed TAC of 453 427 tonnes. The resulting SSB in 2025 is 451 kt, which is 18 % lower than the SSB in 2024. Table 3.20 shows the short-term consequences over a range of F-values in 2025. The detailed outputs corresponding to Fsq in 2024 and the F corresponding to the HCR and Fpa in 2025 is given in Table 3.21. Summarised results are shown in the text table below.

Since SSB in 2025 is below Bpa =460 000 t, F = 0.40*SSB(2025)/Bpa =0.3918 is used in the 3-year prediction, giving catches of 287 330, 309 101 and 338 329 tonnes in 2025, 2026 and 2027, respectively. The average of this is 311 587 tonnes. As SSB is below Bpa in 2025, the 20% limit on annual change in TAC does not apply.

 

Cod in ICES subareas 1 and 2. Annual catch options. All weights are in tonnes.
Basis Total catch (2025) F (2025) SSB(2026) % SSB change * % TAC change ** % Advice change ***
Management plan^ 311 587 0.43 410 740 -9 -31 -31
Other options            
F MSY **** 292 245 0.40 425 617 -6 -36 -36
F = 0 0 0 664 770 48 -100 -100
F = F 2023 395 821 0.589 347 651 -23 -13 -13
F pa 292 245 0.40 425 617 -6 -36 -36
F lim 466 835 0.74 296 859 -34 3 3

* SSB 2026 relative to SSB 2025.

** Advice for 2025 relative to TAC for 2024 (453 427 tonnes).

*** Advice for 2025 relative to advice for 2024.

**** F = 0.40 corresponds to the lower bound of the F MSY range (0.40-0.60), F not reduced for SSB being below B pa .

^ Since SSB in 2025 is below B pa =460 000 t, F = 0.40*SSB(2025)/B pa =0.3918 is used in the 3-year prediction, giving catches of 287 330, 309 101 and 338 329 tonnes in 2025, 2026 and 2027, respectively. The average of this is 311 587 tonnes. As SSB is below B pa in 2025, the 20% limit on annual change in TAC does not apply.

The advice for 2025 is 31% lower than the advice for 2024. The downward adjustment of stock size since last year’s assessment and the declining stock trend both contribute to the reduction in advice. In addition, the 20% TAC change constraint was applied in the advice for 2024, resulting in higher advice than that resulting from the Ftarget. The stability constraint does not apply for 2025 because SSB has dropped below Bpa, and therefore advice for 2025 corresponds to Ftarget , and is considerably lower than the advice for 2024.

This catch forecast covers all catches. It is then implied that all types of catches are to be counted against this TAC. It also means that if any overfishing is expected to take place, the above calculated TAC should be reduced by the expected amount of overfishing.

Medium-term predictions (Figure 3.8)

The inputs for medium-term prediction are the same as for short-term ones. For years after terminal year in short-term prediction the same value as for this year are used for all parameters except target fishing mortality which is according to the HCR.

The stock size has been decreasing in recent years due to low incoming recruitment, downward adjustment of the stock size (due to model modifications at the benchmark in 2021) and increasing fishing mortality. The increase in fishing mortality is partly due to the 20% limit on annual reduction of TAC. Recruitment in coming years (2022-2025 year classes) is also estimated to be below average. The reason for low recent recruitment is not known. Previous periods of low recruitment have mainly occurred when temperature is below average, which is not the case at present.

The predictions for 2025 and following years indicate that catches and total stock biomass will increase slightly after 2025 while SSB will reach its lowest level in 2027 and then increase slightly. (Figure 3.8).

Comparison to 2023 assessment

The text table below compare this year’s estimates with the 2023 JRN-AFWG estimates for numbers at age (millions), total biomass, spawning biomass (thousand tonnes) in 2023, as well as reference F for the year 2022.

Number at age
Number at age

In the current assessment, the number of age 7, 8 and 10 in 2023 was adjusted upwards compared to the 2023 JRN-AFWG assessment, while the other age groups was adjusted downwards. The largest downwards adjustments were seen for age 3 (recruitment) and ages 12 and older.

Comparison to prediction

The change in the advice is large compared to last year. The advice for 2025 is 311 587 tonnes, while the advice for 2024 given by JRN-AFWG was 453 427 tonnes. The 2024 assessment adjusted the stock size in recent years slightly downwards. The main tendency for stock decrease in recent years was similar to last year’s assessment.

Concerns with the assessment and management advice

The WG realizes that imprecise input data, in particular the catch-at-age matrix, and discontinuation of some surveys as well as incomplete spatial coverage and reduced synopticity in surveys could be a main obstacle to producing precise stock assessments, regardless of which model is used.

In recent years stock size has been overestimated (particularly before the 2021 benchmark) and the stock is declining due to recruitment being below average. In this situation, the 20% limit on annual TAC change has led to fishing pressure well above the target in the HCR for several years, and this may pose a danger to the stock. The SSB has now fallen below Bpa , and to continue to apply the stability constraint would no longer be precautionary. The allowed 10% quota transfer between years compounds this issue in such a situation and this allowance should be reduced at low stock sizes.

Additional assessment methods

All models use the same tuning data.

TISVPA (Tables 3.22-3.24, Figure 3.6a-c)

This year the TISVPA model was applied to NEA cod with the same settings as last year and using the same data as SAM except that natural mortality values from cannibalism were taken from the SAM runs. During WG the results of exploratory runs using the TISVPA model (Tables 3.22-3.24) were discussed. The residuals of the model approximation of catch-at-age and “fleets” data are presented in Figure 3.6a. Likelihood profiles for different data source are presented in Figure 3.6b. Retrospective run results are shown in Figure 3.6c.

Model comparisons (Figures 3.2a, 3.6c, 3.7)

Figure 3.7 compares the results of SAM and TISVPA, showing F, SSB, TSB and recruitment. Trends are similar in all models, but TISVPA gives higher F in 2023 and lower biomass in 2024 than SAM. However, recruitment in 2023 is higher in TISVPA than in SAM. Both models show a reasonable retrospective pattern (Figures 3.2a, 3.6c).

New and revised data sources

This section describes some data sources, which could be revised or included in the assessment in the future.

Consistency between NEA cod and coastal cod catch data (Table 3.2)

Consistency between the catch data used for NEA cod and coastal cod should be ensured. The revised catch figures used in the coastal cod assessment do not correspond to the difference between the total cod catch and the catch used in the NEA cod assessment (Table 3.2). These discrepancies will be adjusted when the NEA cod catch series are revised (section 3.2.2).

Discard and bycatch data

Work on updating discard and bycatch data series is ongoing. Revised bycatch estimates in numbers for the period 2005-2023 are shown in ICES AFWG-2024 Fig. 0.1. At WKARCT in 2015 it was, however, decided not to include those data in the catch-at-age matrix.

The bycatch mainly consists of age 1 and 2 fish, but the bycatch is generally small compared to other reported sources of mortality: catches, discards and the number of cod eaten by cod. From 1992 onwards, bycatches of age 3 and older fish are negligible, because use of sorting grids was made mandatory. However, in 1985, bycatches of age 5 and 6 cod were about one third of the reported catches for those age groups. The year class for which the bycatches were highest, was the 1983 year class (total bycatch of age 2 and older fish of about 60 million, compared to a stock estimate of about 1300 million at age 3.

References

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Year Subarea 1 Division 2.a Division 2.b Unreported catches Total catch
1961 409 694 153 019 220 508   783 221
1962 548 621 139 848 220 797   909 266
1963 547 469 117 100 111 768   776 337
1964 206 883 104 698 126 114   437 695
1965 241 489 100 011 103 430   444 983
1966 292 253 134 805 56 653   483 711
1967 322 798 128 747 121 060   572 605
1968 642 452 162 472 269 254   1 074 084
1969 679 373 255 599 262 254   1 197 226
1970 603 855 243 835 85 556   933 246
1971 312 505 319 623 56 920   689 048
1972 197 015 335 257 32 982   565 254
1973 492 716 211 762 88 207   792 685
1974 723 489 124 214 254 730   1 102 433
1975 561 701 120 276 147 400   829 377
1976 526 685 237 245 103 533   867 463
1977 538 231 257 073 109 997   905 301
1978 418 265 263 157 17 293   698 715
1979 195 166 235 449 9 923   440 538
1980 168 671 199 313 12 450   380 434
1981 137 033 245 167 16 837   399 037
1982 96 576 236 125 31 029   363 730
1983 64 803 200 279 24 910   289 992
1984 54 317 197 573 25 761   277 651
1985 112 605 173 559 21 756   307 920
1986 157 631 202 688 69 794   430 113
1987 146 106 245 387 131 578   523 071
1988 166 649 209 930 58 360   434 939
1989 164 512 149 360 18 609   332 481
1990 62 272 99 465 25 263 25 000 212 000
1991 70 970 156 966 41 222 50 000 319 158
1992 124 219 172 532 86 483 130 000 513 234
1993 195 771 269 383 66 457 50 000 581 611
1994 353 425 306 417 86 244 25 000 771 086
1995 251 448 317 585 170 966   739 999
1996 278 364 297 237 156 627   732 228
1997 273 376 326 689 162 338   762 403
1998 250 815 257 398 84 411   592 624
1999 159 021 216 898 108 991   484 910
2000 137 197 204 167 73 506   414 870
2001 142 628 185 890 97 953   426 471
2002 184 789 189 013 71 242 90 000 535 045
2003 163 109 222 052 51 829 115 000 551 990
2004 177 888 219 261 92 296 117 000 606 445
2005 159 573 194 644 121 059 166 000 641 276
2006 159 851 204 603 104 743 67 100 537 642
2007 152 522 195 383 97 891 41 087 486 883
2008 144 905 203 244 101 022 15 000 464 171
2009 161 602 207 205 154 623   523 431
2010 183 988 271 337 154 657   609 983
2011 198 333 328 598 192 898   719 829
2012 247 938 331087 148 638   727 663
2013 360 673 421678 183 858   966 209
2014 320 347 468 934 197 168   986 449
2015 272405 375328 216651   864384
2016 321347 351468 176607   849422
2017 309902 360477 197898   868276
2018 249397 321548 207681   778627
2019 234985 318539 139084   692609
2020 234029 298707 160166   692903
2021 281198 268942 217144   767284
2022 236173 256394 226644   719211
2023 1 260853 202358 119341   582552
Table 3.1. Northeast Arctic COD. Total catch (t) by fishing areas and unreported catch.

Data provided by Working Group members

1 Provisional figure

Year Advice   TAC CATCH
2018 -   - 441
2019 -   800 628
2020 -   800 522
2021 600   600 146
2022 347   347 276
2023 315   315 181
2024 0   0  
Table 3.1a Advice, quota and official Norwegian catches (tonnes) in the fishery zone around Jan Mayen (part of ICES area 2a).
Year Norwegian catches of cod removed from the NEAC cod -assessment
v1960–70 38.6
1971–79 no data
1980 40
1981 49
1982 42
1983 38
1984 33
1985 28
1986 26
1987 31
1988 22
1989 17
1990 24
1991 25
1992 35
1993 44
1994 48
1995 39
1996 32
1997 36
1998 29
1999 23
2000 19
2001 14
2002 20
2003 19
2004 14
2005 13
2006 15
2007 13
2008 13
2009 15
2010 13.5
2011 18.8
2012 35.5
2013 30.1
2014 33.6
2015 35.8
2016 54.9
2017 51.0
2018 36.3
2019 40.1
2020 45.3
2021 42.0
2022 40.3
2023 48.1
Table 3.2. Catches of Norwegian Coastal Cod in subareas 1 and 2, 1000 tonnes, which are removed from the NEA cod assessment.
    Subarea 1   Division 2.a   Division 2.b  
Year   Trawl Others Trawl Others Trawl Others
1967   238 84.8 38.7 90 121.1 -
1968   588.1 54.4 44.2 118.3 269.2 -
1969   633.5 45.9 119.7 135.9 262.3 -
1970   524.5 79.4 90.5 153.3 85.6 -
1971   253.1 59.4 74.5 245.1 56.9 -
1972   158.1 38.9 49.9 285.4 33 -
1973   459 33.7 39.4 172.4 88.2 -
1974   677 46.5 41 83.2 254.7 -
1975   526.3 35.4 33.7 86.6 147.4 -
1976   466.5 60.2 112.3 124.9 103.5 -
1977   471.5 66.7 100.9 156.2 110 -
1978   360.4 57.9 117 146.2 17.3 -
1979   161.5 33.7 114.9 120.5 8.1 -
1980   133.3 35.4 83.7 115.6 12.5 -
1981   91.5 45.1 77.2 167.9 17.2 -
1982   44.8 51.8 65.1 171 21 -
1983   36.6 28.2 56.6 143.7 24.9 -
1984   24.5 29.8 46.9 150.7 25.6 -
1985   72.4 40.2 60.7 112.8 21.5 -
1986   109.5 48.1 116.3 86.4 69.8 -
1987   126.3 19.8 167.9 77.5 129.9 1.7
1988   149.1 17.6 122 88 58.2 0.2
1989   144.4 19.5 68.9 81.2 19.1 0.1
1990   51.4 10.9 47.4 52.1 24.5 0.8
1991   58.9 12.1 73 84 40 1.2
1992   103.7 20.5 79.7 92.8 85.6 0.9
1993   165.1 30.7 155.5 113.9 66.3 0.2
1994   312.1 41.3 165.8 140.6 84.3 1.9
1995   218.1 33.3 174.3 143.3 160.3 10.7
1996   248.9 32.7 137.1 159 147.7 6.8
1997   235.6 37.7 150.5 176.2 154.7 7.6
1998   219.8 31 127 130.4 82.7 1.7
1999   133.3 25.7 101.9 115 107.2 1.8
2000   111.7 25.5 105.4 98.8 72.2 1.3
2001   119.1 23.5 83.1 102.8 95.4 2.5
2002   147.4 37.4 83.4 105.6 69.9 1.3
2003   146 17.1 107.8 114.2 50.1 1.8
2004   154.4 23.5 100.3 118.9 88.8 3.5
2005   132.4 27.2 87 107.7 115.4 5.6
2006   141.8 18.1 91.2 113.4 100.1 4.6
2007   129.6 22.9 84.8 110.6 91.6 6.3
2008   123.8 21.1 94.8 108.4 95.3 5.7
2009   130.1 31.5 102 105.2 142.1 11.4
2010   151.1 32.9 130 141.4 149.2 5.4
2011   158.1 38.4 163.5 167 181 11.9
2012   212.1 35.9 172.7 158.4 133.8 14.9
2013   308.5 52.2 216.9 204.7 159.7 24.1
2014   268.8 51.5 246.8 222.1 177.9 19.3
2015   224.3 48.1 192.2 183.2 197.7 19.0
2016   285.5 35.8 181.7 169.8 156.3 20.3
2017   265.4 44.5 189.5 171.0 180.0 17.9
2018   204.7 44.7 156.7 164.9 192.0 15.6
2019   199.4 35.6 177.8 140.7 128.9 10.1
2020   199.4 34.6 157.2 141.5 153.5 6.7
2021   220.8 60.4 120.2 148.7 202.1 15.1
2022   192.9 43.3 108.9 147.4 212.9 13.7
2023 1 218.5 42.4 90.9 111.5 112.6 6.8
Table 3.3. Northeast Arctic COD. Total nominal catch ('000 t) by trawl and other gear for each

Data provided by Working Group members

1 Provisional figures

Year Faroe Islands France German Dem.Rep. Fed.Rep.Germany Greenland Iceland Norway Poland United Kingdom Russia** Spain Others Total
1961 3934 13755 3921 8129     268377 -   158113 325780   1212 783221
1962 3109 20482 1532 6503     225615 -   175020 476760   245 909266
1963 - 18318 129 4223     205056 108   129779 417964   - 775577
1964 - 8634 297 3202     149878 -   94549 180550   585 437695
1965 - 526 91 3670     197085 -   89962 152780   816 444930
1966 - 2967 228 4284     203792 -   103012 169300   121 483704
1967 - 664 45 3632     218910 -   87008 262340   6 572605
1968 - - 225 1073     255611 -   140387 676758   - 1074084
1969 29374 - 5907 5543     305241 7856   231066 612215   133 1197226
1970 26265 44245 12413 9451     377606 5153   181481 276632   - 933246
1971 5877 34772 4998 9726     407044 1512   80102 144802   215 689048
1972 1393 8915 1300 3405     394181 892   58382 96653   166 565287
1973 1916 17028 4684 16751     285184 843   78808 387196   276 792686
1974 5717 46028 4860 78507     287276 9898   90894 540801   38453 1102434
1975 11309 28734 9981 30037     277099 7435   101843 343580   19368 829377
1976 11511 20941 8946 24369     344502 6986   89061 343057   18090 867463
1977 9167 15414 3463 12763     388982 1084   86781 369876   17771 905301
1978 9092 9394 3029 5434     363088 566   35449 267138   5525 698715
1979 6320 3046 547 2513     294821 15   17991 105846   9439 440538
1980 9981 1705 233 1921     232242 3   10366 115194   8789 380434
1981 12825 3106 298 2228     277818     5262 83000 14500 - 399037
1982 11998 761 302 1717     287525     6601 40311 14515 - 363730
1983 11106 126 473 1243     234000     5840 22975 14229 - 289992
1984 10674 11 686 1010     230743     3663 22256 8608 - 277651
1985 13418 23 1019 4395     211065     3335 62489 7846 4330 307920
1986 18667 591 1543 10092     232096     7581 150541 5497 3505 430113
1987 15036 1 986 7035     268004     10957 202314 16223 2515 523071
1988 15329 2551 605 2803     223412     8107 169365 10905 1862 434939
1989 15625 3231 326 3291     158684     7056 134593 7802 1273 332481
1990 9584 592 169 1437     88737     3412 74609 7950 510 187000
1991 8981 975   2613     126226     3981 119427*** 3677 3278 269158
1992 11663 2   3911 3337   168460     6120 182315 6217 1209 383234
1993 17435 3572   5887 5389 9374 221051     11336 244860 8800 3907 531611
1994 22826 1962   8283 6882 36737 318395     15579 291925 14929 28568 746086
1995 22262 4912   7428 7462 34214 319987     16329 296158 15505 15742 739999
1996 17758 5352   8326 6529 23005 319158     16061 305317 15871 14851 732228
1997 20076 5353   6680 6426 4200 357825     18066 313344 17130 13303 762403
1998 14290 1197   3841 6388 1423 284647     14294 244115 14212 8217 592624
1999 13700 2137   3019 4093 1985 223390     11315 210379 8994 5898 484910
2000 13350 2621   3513 5787 7562 192860     9165 166202 8695 5115 414870
2001 12500 2681   4524 5727 5917 188431     8698 183572 9196 5225 426471
2002 15693 2934   4517 6419 5975 202559     8977 184072 8414 5484 445045
2003 19427 2921   4732 7026 5963 191977     8711 182160 7924 6149 436990
2004 19226 3621   6187 8196 7201 212117     14004 201525 11285 6082 489445
2005 16273 3491   5848 8135 5874 207825     10744 200077 9349 7660 475276
2006 16327 4376   3837 8164 5972 201987     10594 203782 9219 6271 470527
2007 14788 3190   4619 5951 7316 199809     9298 186229 9496 5101 445796
2008 15812 3149   4955 5617 7535 196598     8287 190225 9658 7336 449171
2009 16905 3908   8585 4977 7380 224298     8632 229291 12013 7442 523431
2010 15977 4499   8442 6584 11299 264701     9091 267547 12657 9185 609983
2011 13429 1173   4621 7155 12734 331535     8210 310326 13291 17354^ 719829
2012 17523 2841   8500 8520 9536 315739     11166 329943 12814 11081 727663
2013 13833 7858   8010 7885 14734 438734     12536 432314 15042 15263 966209
2014 33298 8149   6225 10864 18205 431846     14762 433479 16378 13243 986449
2015 26568 7480   6427 7055 16120 377983     11778 381778 19905 9880 864384
2016 24084 7946   6336 8607 16031 348949     13583 394107 14640 15139 849422
2017 28637 9554   5977 13638 11925 357419     16731 396180 14414 13802 868276
2018 26152 6605   9768 12743 10708 333539     11533 340364 13143 14071 778627
2019 22270 6371   8470 7553 12294 282120     11214 316813 13939 11565 692609
2020 21679 5796   9725 7391 9734 289472     12113 312683 11403 12908 692903
2021 21767 4459   6190 8246 8933 337931     5426 352064 11080 11188 767284^^
2022 21530 4988   7134 7688 6214 310145     7024 333697 12214 8577 719211^^
2023* 17556 4632   5630 3994 5157 242117     5972 276923 8030 12539 582552^^
Table 3.4. Northeast Arctic COD. Nominal catch(t) by countries. (Subarea 1 and divisions 2a and 2b combined, data provided by Working group members

* Provisional figures

** USSR prior to 1991.

*** Includes Baltic countries.

^ Includes unspecified EU catches.

^^ In 2022-2024 assessment and advice was carried out by the Joint Russian-Norwegian working group on Arctic Fisheries (JRN-AFWG) which compiled catches for 2021-2023 and gave advice for 2023-2025.

Year Area covered Additional area implied in adjustment Adjustment method
1981-92 88.1    
1993 137.6    
1994 161.1    
1995 191.9    
1996 166.1    
1997 88.4 56.2 Index ratio by age
1998 100.4 51.1 Index ratio by age
1999 118.5    
2000 163.2    
2001 164.7    
2002 157.4    
2003 147.4    
2004 164.4    
2005 179.9    
2006 170.1 18.1 Partly covered strata raised to full strata area
2007 123.9 56.7 Index ratio by age
2008 165.2    
2009 171.8    
2010 160.5    
2011 174.3    
2012 151.3 16.7 Index ratio by age
2013 203.6    
2014 266.8    
2015 243.3    
2016 228.0    
2017 184.4 37.5 Index ratio by age
2018 236.3    
2019 241.2    
2020 203.2 25.1 Index ratio by age
2021 232.0 10.9 Index ratio by age
2022 232.7    
2023 253.3    
2024 263.1    
Table 3.5. Barents Sea winter survey. Area covered (‘000 square nautical miles) and areas implied in the method used to adjust for missing coverage in Russian Economic Zone (REZ). “Index ratio by age” means that the index by age (for the area outside REZ) was scaled by the observed ratio between total index and the index outside REZ observed in the years prior to the survey.

 

SAM Wed May 29 15:23:46 2024

Table 3.6. Northeast Arctic cod. Catch numbers-at-age (Thous)
Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp  
1946 4008 10387 18906 16596 13843 15370 59845 22618 10093 9573 5460 1927 750  
1947 710 13192 43890 52017 45501 13075 19718 47678 31392 9348 9330 4622 4103  
1948 140 3872 31054 55983 77375 21482 15237 9815 30041 7945 4491 3899 4205  
1949 991 6808 35214 100497 83283 29727 13207 5606 8617 13154 3657 1895 2167  
1950 1281 10954 29045 45233 62579 30037 19481 9172 6019 4133 6750 1662 1450  
1951 24687 77924 64013 46867 37535 33673 23510 10589 4221 1288 1002 3322 611  
1952 24099 120704 113203 73827 49389 20562 24367 15651 8327 3565 647 467 1044  
1953 47413 107659 112040 55500 22742 16863 10559 10553 5637 1752 468 173 156  
1954 11473 155171 146395 100751 40635 10713 11791 8557 6751 2370 896 268 123  
1955 3902 37652 201834 161336 84031 30451 13713 9481 4140 2406 867 355 128  
1956 10614 24172 129803 250472 86784 51091 14987 7465 3952 1655 1292 448 166  
1957 17321 33931 27182 70702 87033 39213 17747 6219 3232 1220 347 299 173  
1958 31219 133576 71051 40737 38380 35786 13338 10475 3289 1070 252 40 141  
1959 32308 77942 148285 53480 18498 17735 23118 9483 3748 997 254 161 98  
1960 37882 97865 64222 67425 23117 8429 7240 11675 4504 1843 354 102 226  
1961 45478 132655 123458 51167 38740 17376 5791 6778 5560 1682 910 280 108  
1962 42416 170566 167241 89460 28297 21996 7956 2728 2603 1647 392 280 103  
1963 13196 106984 205549 95498 35518 16221 11894 3884 1021 1025 498 129 157  
1964 5298 45912 97950 58575 19642 9162 6196 3553 783 172 387 264 131  
1965 15725 25999 78299 68511 25444 8438 3569 1467 1161 131 61 79 197  
1966 55937 55644 34676 42539 37169 18500 5077 1495 380 403 77 9 70  
1967 34467 160048 69235 22061 26295 25139 11323 2329 687 316 225 40 14  
1968 3709 174585 267961 107051 26701 16399 11597 3657 657 122 124 70 46  
1969 2307 24545 238511 181239 79363 26989 13463 5092 1913 414 121 23 46  
1970 7164 10792 25813 137829 96420 31920 8933 3249 1232 260 106 39 35  
1971 7754 13739 11831 9527 59290 52003 12093 2434 762 418 149 42 25  
1972 35536 45431 26832 12089 7918 34885 22315 4572 1215 353 315 121 40  
1973 294262 131493 61000 20569 7248 8328 19130 4499 677 195 81 59 55  
1974 91855 437377 203772 47006 12630 4370 2523 5607 2127 322 151 83 62  
1975 45282 59798 226646 118567 29522 9353 2617 1555 1928 575 231 15 37  
1976 85337 114341 79993 118236 47872 13962 4051 936 558 442 139 26 53  
1977 39594 168609 136335 52925 61821 23338 5659 1521 610 271 122 92 54  
1978 78822 45400 88495 56823 25407 31821 9408 1227 913 446 748 48 51  
1979 8600 77484 43677 31943 16815 8274 10974 1785 427 103 59 38 45  
1980 3911 17086 81986 40061 17664 7442 3508 3196 678 79 24 26 8  
1981 3407 9466 20803 63433 21788 9933 4267 1311 882 109 37 3 NA  
1982 8948 20933 19345 28084 42496 8395 2878 708 271 260 27 5 5  
1983 3108 19594 20473 17656 17004 18329 2545 646 229 74 58 20 5  
1984 6942 14240 18807 20086 15145 8287 5988 783 232 153 49 12 8  
1985 24634 45769 27806 19418 11369 3747 1557 768 137 36 31 32 8  
1986 28968 70993 78672 25215 11711 4063 976 726 557 136 28 34 14  
1987 13648 137106 98210 61407 13707 3866 910 455 187 227 21 59 20  
1988 9828 22774 135347 54379 21015 3304 1236 519 106 69 43 14 5  
1989 5085 17313 32165 81756 27854 5501 827 290 41 13 NA 11 16  
1990 1911 7551 12999 17827 30007 6810 828 179 59 15 6 5 2  
1991 4963 10933 16467 20342 19479 25193 3888 428 48 12 NA NA 2  
1992 21835 36015 27494 23392 18351 13541 18321 2529 264 82 3 9 NA  
1993 10094 46182 63578 33623 14866 9449 6571 12593 1749 377 63 22 NA  
1994 6531 59444 102548 59766 32504 10019 6163 3671 7528 995 121 19 4  
1995 4879 42587 115329 98485 32036 7334 3014 1725 1174 1920 222 41 NA  
1996 7655 28782 80711 100509 54590 10545 2023 930 462 230 809 84 NA  
1997 12827 36491 69633 83017 65768 28392 4651 1151 373 213 144 238 NA  
1998 31887 88874 48972 40493 34513 26354 6583 965 197 69 42 22 53  
1999 7501 77714 92816 31139 15778 15851 8828 1837 195 40 34 8 30  
2000 4701 33094 93044 47210 12671 6677 4787 1647 321 71 11 NA 14  
2001 5044 35019 62139 62456 22794 5266 1773 1163 343 85 6 7 22  
2002 2348 31033 76175 67656 42122 11527 1801 529 223 120 21 9 6  
2003 7263 20885 64447 71109 36706 14002 2887 492 142 97 21 43 NA  
2004 2090 38226 50826 68350 50838 18118 6239 1746 295 127 39 16 8  
2005 5815 19768 113144 61665 44777 20553 6285 2348 562 100 21 24 7  
2006 8548 47207 33625 78150 31770 15667 7245 1788 737 210 26 45 155  
2007 25473 43817 62877 26303 34392 11240 4080 1381 505 285 44 13 35  
2008 8459 51704 40656 35072 14037 20676 5503 1794 715 229 42 26 13  
2009 4866 38711 83998 46639 20789 8417 8920 1957 872 987 76 21 20  
2010 1778 16193 53855 75853 36797 17062 4784 4325 3034 913 189 49 35  
2011 1418 8033 32472 70938 73875 21116 11708 5058 3237 600 434 12 0  
2012 2695 10462 16646 40372 70014 48315 12326 5214 1926 1124 317 70 24  
2013 2903 13659 22752 21020 54231 74451 47124 9143 2963 694 449 89 145  
2014 5234 19226 38407 36633 29901 56109 47540 22738 3717 1169 313 210 157  
2015 4315 31383 41181 51209 33745 22530 23609 24553 16071 2510 468 134 254  
2016 2076 11291 50231 43609 35265 23417 14592 20105 15862 4781 871 249 308  
2017 6535 13128 28365 66504 46136 28507 15307 10073 12169 6465 1927 399 285  
2018 6120 28569 27128 33816 54328 28323 16208 9722 7132 3740 2295 840 271  
2019 4389 21405 48422 29849 26548 39759 17395 8883 4606 2109 715 564 322  
2020 3992 22446 37649 52454 31009 20904 23618 11768 6130 1572 591 310 278  
2021 2983 17935 54005 59732 59136 22397 14744 13589 4919 1737 678 228 344  
2022 5725 23486 53467 68112 47067 30569 11776 6046 3797 1489 575 164 107  
2023 11046 15493 30653 37250 38616 28163 16233 5885 1995 984 195 56 94  
Norway                          
Year     Age                      
  2 3 4 5 6 7 8 9 10 11 12 13 14 15+
1983 0.41 0.82 1.32 2.05 2.82 3.94 5.53 7.70 9.17 11.46 16.59 16.42 16.96 24.46
1984 1.16 1.47 1.97 2.53 3.13 3.82 4.81 5.95 7.19 7.86 8.46 7.99 9.78 10.64
1985 0.34 0.99 1.43 2.14 3.27 4.68 6.05 7.73 9.86 11.87 14.16 14.17 13.52 15.33
1986 0.30 0.67 1.34 2.04 3.14 4.60 5.78 6.70 7.52 9.74 10.68 12.86 9.59 16.31
1987 0.24 0.48 0.88 1.66 2.72 4.35 6.21 8.78 9.78 12.50 13.75 15.12 10.43 19.95
1988 0.36 0.56 0.83 1.31 2.34 3.84 6.50 8.76 9.97 11.06 14.43 19.02 12.89 10.16
1989 0.53 0.75 0.90 1.17 1.95 3.20 4.88 7.82 9.40 11.52 11.47   19.47 14.68
1990 0.40 0.81 1.22 1.59 2.14 3.29 4.99 7.83 10.54 14.21 17.63 7.97 14.64  
1991 0.63 1.37 1.77 2.31 3.01 3.68 4.63 6.06 8.98 12.89 17.00   14.17 16.63
1992 0.41 1.10 1.79 2.45 3.22 4.33 5.27 6.21 8.10 10.51 11.59   15.81 6.52
1993 0.30 0.83 1.70 2.41 3.35 4.27 5.45 6.28 7.10 7.82 10.10 16.03 19.51 17.68
1994 0.30 0.82 1.37 2.23 3.35 4.27 5.56 6.86 7.45 7.98 9.53 12.16 11.45 19.79
1995 0.44 0.78 1.26 1.87 2.80 4.12 5.15 5.96 7.90 8.67 9.20 11.53 17.77 21.11
1996 0.29 0.90 1.15 1.67 2.58 4.08 6.04 6.62 7.96 9.36 10.55 11.41 9.51 24.24
1997 0.35 0.78 1.14 1.56 2.25 3.48 5.35 7.38 7.55 8.30 11.15 8.64 12.80  
1998 0.38 0.68 1.03 1.64 2.23 3.24 4.85 6.88 9.18 9.84 15.78 14.37 13.77 15.58
1999 0.46 0.88 1.16 1.65 2.40 3.12 4.26 6.00 6.52 10.64 14.05 12.67 9.20 17.22
2000 0.31 0.65 1.23 1.80 2.54 3.58 4.49 5.71 7.54 7.86 12.71 14.71 15.40 20.26
2001 0.30 0.77 1.18 1.83 2.75 3.64 4.88 5.93 7.43 8.90 10.22 11.11 13.03 18.85
2002 0.31 0.90 1.40 1.90 2.60 3.55 4.60 5.80 7.40 9.56 8.71 12.92 8.42 17.61
2003 0.55 0.88 1.39 2.01 2.63 3.59 4.83 5.57 7.262 9.36 9.52 9.52 10.68 21.66
2004 0.54 1.08 1.41 1.95 2.69 3.46 4.77 6.72 7.90 8.66 12.21 14.02 16.50 11.37
2005 0.58 0.92 1.38 1.86 2.61 3.54 4.57 6.41 8.24 9.89 11.04 14.08 11.81 20.08
2006 0.51 0.97 1.45 2.06 2.71 3.56 4.57 5.53 6.61 7.53 8.55 8.44 9.82 12.31
2007 0.53 1.07 1.70 2.37 3.26 4.36 5.45 6.71 8.08 8.56 9.75 11.72 12.72 15.58
2008 0.65 1.12 1.70 2.44 3.32 4.41 5.61 6.84 8.25 9.31 10.54 12.45 13.59 21.15
2009 0.56 0.98 1.47 2.10 2.83 3.90 5.06 5.76 7.31 7.79 7.81 10.68 11.83 14.76
2010 0.55 0.95 1.46 2.06 2.93 4.02 5.40 6.44 7.19 8.43 9.11 10.46 11.39 15.55
2011 0.53 1.09 1.50 2.06 2.85 3.70 5.01 6.26 7.33 8.34 9.87 13.23    
2012   0.83 1.32 1.92 2.65 3.52 4.71 6.34 8.11 9.92 11.31 13.45 15.75  
2013 0.43 0.95 1.40 2.00 2.64 3.44 4.51 5.67 7.29 8.80 10.33 11.38 12.56  
2014 0.59 1.07 1.55 2.15 2.80 3.70 4.57 5.78 6.97 8.35 9.46 10.99 12.28 15.49
2015 0.64 0.96 1.42 1.96 2.57 3.30 4.13 5.49 6.46 7.18 8.63 10.37 12.24 14.60
2016 0.59 0.96 1.46 1.99 2.71 3.57 4.56 5.78 6.82 8.08 9.33 10.01 11.68 14.79
2017 0.55 0.99 1.53 2.06 2.69 3.64 4.72 5.91 6.91 7.88 9.41 10.93 11.78 15.07
2018 0.62 1.05 1.51 2.11 2.80 3.48 4.54 5.80 6.97 7.64 9.11 10.29 11.35 14.05
2019 0.51 0.96 1.43 2.02 2.72 3.60 4.51 5.80 6.91 7.94 8.89 10.94 11.55 14.49
2020 0.58 0.94 1.42 2.01 2.66 3.50 4.59 5.77 7.03 8.46 9.78 10.97 12.74 16.08
2021 0.39 0.75 1.27 1.86 2.55 3.42 4.52 5.86 7.13 8.55 10.09 11.79 12.98 15.75
2022 0.32 0.71 1.15 1.73 2.42 3.36 4.47 5.79 7.18 8.65 10.09 11.45 12.93 16.43
2023 0.38 0.80 1.23 1.79 2.51 3.39 4.47 5.80 7.23 8.74 9.86 11.79 13.66 15.78
Table 3.7. Northeast Arctic COD. Weights-at-age (kg) in landings from various countries
Russia (trawl only)                          
Year       Age                      
    2 3 4 5 6 7 8 9 10 11 12 13 14 15+
1983   0.65 1.05 1.58 2.31 3.39 4.87 6.86 8.72 10.40 12.07 14.43      
1984   0.53 0.88 1.45 2.22 3.21 4.73 6.05 8.43 10.34 12.61 14.95      
1985   0.33 0.77 1.31 1.84 2.96 4.17 5.94 6.38 8.58 10.28        
1986   0.29 0.61 1.14 1.75 2.45 4.17 6.18 8.04 9.48 11.33 12.35 14.13    
1987   0.24 0.52 0.88 1.42 2.07 2.96 5.07 7.56 8.93 10.80 13.05 18.16    
1988   0.27 0.49 0.88 1.32 2.06 3.02 4.40 6.91 9.15 11.65 12.53 14.68    
1989   0.50 0.73 1.00 1.39 1.88 2.67 4.06 6.09 7.76 9.88        
1990   0.45 0.83 1.21 1.70 2.27 3.16 4.35 6.25 8.73 10.85 13.52      
1991   0.36 0.64 1.05 2.03 2.85 3.77 4.92 6.13 8.36 10.44 15.84 19.33    
1992   0.55 1.20 1.44 2.07 3.04 4.24 5.14 5.97 7.25 9.28 11.36      
1993   0.48 0.78 1.39 2.06 2.62 4.07 5.72 6.79 7.59 11.26 14.79 17.71    
1994   0.41 0.81 1.24 1.80 2.55 2.88 4.96 6.91 8.12 10.28 12.42 16.93    
1995   0.37 0.77 1.21 1.74 2.37 3.40 4.71 6.73 8.47 9.58 12.03 16.99    
1996   0.30 0.64 1.09 1.60 2.37 3.42 5.30 7.86 8.86 10.87 11.80      
1997   0.30 0.57 1.00 1.52 2.18 3.30 4.94 7.15 10.08 11.87 13.54      
1998   0.33 0.68 1.06 1.60 2.34 3.39 5.03 6.89 10.76 12.39 13.61 14.72    
1999   0.24 0.58 0.98 1.41 2.17 3.26 4.42 5.70 7.27 10.24 14.12      
2000   0.18 0.48 0.85 1.44 2.16 3.12 4.44 5.79 7.49 9.66 10.36      
2001   0.12 0.31 0.62 1.00 1.53 2.30 3.31 4.57 6.55 8.11 9.52 11.99    
2002   0.20 0.60 1.05 1.46 2.14 3.27 4.47 6.23 8.37 10.06 12.37      
2003   0.23 0.63 1.06 1.78 2.40 3.41 4.86 6.28 7.55 11.10 13.41 12.12 14.51  
2004   0.30 0.57 1.09 1.55 2.37 3.20 4.73 6.92 8.41 9.77 11.08      
2005   0.33 0.65 0.98 1.50 2.10 3.08 4.31 5.81 8.42 10.37 13.56 14.13    
2006   0.27 0.68 1.05 1.49 2.25 3.16 4.54 5.90 8.59 10.31 12.31      
2007   0.23 0.67 1.12 1.66 2.25 3.31 4.57 6.27 8.20 10.02 12.36 12.42    
2008   0.28 0.64 1.16 1.74 2.65 3.58 4.74 5.73 7.32 8.07 9.52 12.52    
2009   0.31 0.64 1.09 1.58 2.11 3.19 4.80 6.58 7.97 9.84 11.51      
2010   0.25 0.57 1.00 1.64 2.28 3.14 4.53 5.98 8.03 9.71 10.70 13.53    
2011   0.25 0.62 1.05 1.56 2.18 2.95 4.33 6.21 8.04 10.13 12.25 15.18    
2012   0.29 0.60 1.07 1.66 2.25 2.95 4.17 6.23 8.58 11.08 12.24 14.07 15.22 16.39
2013   0.33 0.63 1.05 1.54 2.26 3.09 4.08 5.47 7.37 9.59 12.57 15.54 17.05  
2014   0.32 0.61 1.05 1.61 2.26 3.15 4.00 5.24 7.13 9.46 11.18 14.47    
2015   0.30 0.60 0.97 1.49 2.11 3.13 4.64 5.78 7.13 9.53 12.12 16.71 17.37  
2016   0.26 0.55 0.97 1.53 2.20 3.19 4.50 6.12 7.97 9.55 10.95 14.35 14.74 17.25
2017   0.33 0.63 1.03 1.56 2.24 3.24 4.67 6.34 7.74 9.40 11.12 14.43 16.67 11.91
2018   0.33 0.68 1.06 1.62 2.40 3.22 4.66 6.23 7.79 8.91 10.26 11.26 13.41 10.14
2019   0.29 0.62 1.10 1.60 2.33 3.22 4.44 6.45 8.10 9.60 11.02 13.83 10.65 10.65
2020   0.27 0.47 0.93 1.44 2.05 2.95 4.28 5.73 7.59 8.45 10.66 12.26 12.18 12.23
2021   0.19 0.44 0.76 1.35 2.02 2.81 4.25 6.26 7.81 9.59 10.67 10.86 13.62 12.31
2022   0.39 0.62 0.91 1.42 2.21 3.22 4.45 6.15 8.16 9.91 10.83 11.96   10.33
2023   0.36 0.63 1.03 1.55 2.29 3.27 4.49 5.81 7.05 8.92 9.99 10.77    
                               
Table 3.7. Northeast Arctic COD. Weights-at-age (kg) in landings from various countries (continued)
Germany (Division IIa and IIb)                      
Year       Age                      
    2 3 4 5 6 7 8 9 10 11 12 13 14 15+
1994     0.68 1.04 2.24 3.49 4.51 5.79 6.93 8.16 8.46 8.74 9.48 15.25  
1995     0.44 0.84 1.5 2.72 3.81 4.46 4.81 7.37 7.69 8.25 9.47    
1996     0.84 1.15 1.64 2.53 3.58 4.13 3.9 4.68 6.98 6.43 11.32    
1997     0.43 0.92 1.42 2.01 3.15 4.04 5.16 4.82 3.96 7.04 8.8    
1998   0.23 0.73 1.17 1.89 2.72 3.25 4.13 5.63 6.5 8.57 8.42 11.45 8.79  
1999 1   0.853 1.448 1.998 2.65 3.473 4.156 5.447 6.82 5.902   8.01    
2000 2 0.26 0.73 1.36 2.04 2.87 3.67 4.88 5.78 7.05 8.45 8.67 9.33 6.88  
2001   0.38 0.80 1.21 1.90 2.74 3.90 4.99 5.69 7.15 7.32 11.72 9.11 6.60  
2002   0.35 1.00 1.31 1.80 2.53 3.64 4.38 5.07 6.82 9.21 7.59 13.18 19.17 19.20
2003   0.22 0.44 1.04 1.71 2.31 3.27 4.93 6.17 7.77 9.61 9.99 12.29 13.59  
2004 2 0.22 0.73 1.01 1.75 2.58 3.33 4.73 6.32 7.20 8.45 9.20 11.99 10.14 13.11
2005 3 0.57 0.77 1.13 1.66 2.33 3.36 4.38 5.92 6.65 7.26 10.01 11.14    
2006 2 0.71 0.91 1.39 1.88 2.56 3.77 5.33 6.68 9.14 10.89 11.51 16.83 18.77  
2007 3 0.59 1.35 1.79 2.51 3.53 4.00 4.95 6.55 7.54 9.71 11.40 11.57 23.34 15.61
2008 3 0.23 0.51 1.14 1.76 2.57 3.15 4.40 5.43 7.18 8.39 10.15 10.03 10.99 14.26
2009 3 0.35 0.60 1.19 1.83 2.96 4.08 5.61 6.97 8.55 9.13 10.54 13.34 10.30 17.06
2010 3 0.36 0.67 0.93 1.71 2.46 3.21 4.93 6.75 7.80 8.70 8.53 10.17 12.36 14.11
2011 1     1.75 3.09 3.30 3.28 4.13 4.99 6.61 7.91 9.38 10.79 14.67 14.91
2013 3     1.03 1.37 1.87 2.65 3.45 4.49 7.26 11.42 12.86 13.07    
2014 4   0.68 0.96 1.39 1.69 3.06 4.07 5.65 8.15 10.36 13.07 13.52    
2015 4 0.82 1.05 1.67 2.33 3.56 4.50 5.41 6.20 6.39          
2016 1   1.38 2.60 3.55 4.81 6.33 7.61 8.90 9.26 10.83 13.41 16.84 17.03 17.76
2017 1   1.58 2.79 3.93 3.93 4.77 6.35 8.16 9.09 10.39 11.24 12.48 14.39 13.04
2018 3 0.58 1.16 1.76 2.45 3.34 4.13 5.81 7.16 8.99 9.96 10.85 11.73 14.01 17.79
2019 1   0.82 1.37 1.80 2.26 3.49 4.45 5.44 7.08 9.25 9.39 13.30 12.24 15.25
2020 5     1.6 1.63 2.48 3.13 5.01 5.93 8.36 9.31 12.16 12.96 12.77 14.08
2021 2   0.68 1.3 1.52 2.25 3.22 4.58 6.49 7.43 10.37 11.73 14.64 14.34 15.74
2022 1   0.59 0.82 1.40 2.20 3.04 4.13 5.54 7.36 8.56 10.79 13.12 14.96 15.18
2023 2   0.74 0.94 1.25 1.89 2.97 4.36 5.7 5.55 8.4 10.06 9.86 22.68  
1 Division IIa only                        
2 IIa and IIb combined                      
3 I,IIa and IIb combined                      
4 Division IIb only                      
5 I and IIa combined                      
                         
Table 3.7. Northeast Arctic COD. Weights-at-age (kg) in landings from various countries (continued)
                         
Spain (Division IIb)                          
Year       Age                      
    2 3 4 5 6 7 8 9 10 11 12 13 14 15+
1994   0.43 1.08 1.38 2.32 2.47 2.68 3.46 5.20 7.04 6.79 7.20 8.04 10.46 15.35
1995   0.42 0.51 0.98 1.99 3.41 4.95 5.52 8.62 9.21 11.42 9.78 8.08    
1996     0.66 1.12 1.57 2.43 3.17 3.59 4.44 5.48 6.79 8.10      
1997 1 0.51 0.65 1.22 1.68 2.60 3.39 4.27 6.67 7.88 11.34 13.33 10.03 8.69  
1998   0.47 0.74 1.15 1.82 2.44 3.32 3.71 5.00 7.26          
1999 1 0.21 0.69 1.06 1.69 2.50 3.32 4.72 5.76 6.77 7.24 7.63      
2000 1 0.23 0.61 1.24 1.75 2.47 3.12 4.65 6.06 7.66 10.94 11.40 7.20    
2001   0.23 0.64 1.25 1.95 2.86 3.55 4.95 6.46 8.50 11.07 13.09      
2002   0.16 0.55 1.00 1.48 2.17 3.29 4.47 5.35 8.29 12.23 9.01 12.16 15.2  
2003     0.58 1.05 1.70 2.33 3.33 4.92 6.24 9.98 13.07 14.74 14.17    
2004 1 0.31 0.56 0.80 1.28 1.96 2.59 3.72 5.36 5.28 7.41   11.43    
2005 1   0.63 1.14 1.85 2.48 3.43 4.25 5.38 8.41 11.19 15.04 16.93    
2006   0.30 0.61 0.99 1.46 2.04 2.55 3.39 3.50 4.70 6.36        
2007   0.42 0.60 1.20 1.76 2.40 3.18 3.96 5.19 6.61 9.48 7.65 12.65 15.74 19.66
2009 1 0.12 0.45 0.95 1.60 2.18 3.36 4.52 6.04 7.30 9.42 10.35 11.47 12.54  
2010 2 0.18 0.56 1.11 1.73 2.36 3.36 5.14 6.88 8.64 9.65 6.83      
2011 1   0.45 0.90 1.26 1.84 2.55 4.08 5.61 8.17 8.14 7.31 8.91    
2012 2   0.40 0.84 1.29 1.96 2.78 3.71 4.99 7.42   7.19 9.32    
2013   0.17 0.72 1.06 1.63 2.36 3.14 3.90 4.36 6.55          
2014   0.24 0.43 0.74 1.27 1.85 2.60 3.56 4.51 5.52 7.18 9.42 9.26 13.16 15.05
2015 2   0.40 0.80 1.19 1.79 2.45 3.38 4.41 5.85 6.64 7.48 6.77    
2016 3 0.11 0.38 0.76 1.20 1.72 2.50 3.39 4.96 7.11 8.56        
2017 2 0.12 0.42 0.75 1.17 1.69 2.50 3.39 4.47 5.69 5.93 6.00 10.91 13.57 10.52
2018 2 0.19 0.45 0.83 1.30 1.86 2.57 3.55 4.92 5.51 7.84 7.08 7.28    
2019 2 0.19 0.39 0.90 1.30 1.85 2.65 3.48 4.83 5.96 5.67 7.04 8.36    
2021 2   0.36 0.60 1.20 1.83 2.49 3.11 4.55 6.10 6.50 7.03   9.013 17.13
2022 2   0.49 0.80 1.25 1.83 2.77 4.06 5.52 7.71 8.87 12.18      
2023 2   0.54 1.15 1.56 2.28 3.27 4.24 5.56 6.62 8.62 7.00 12.98 16.92  
1 IIa and IIb combined                      
2 I,IIa and IIb combined                      
3 I and IIb combined                        
Iceland (Sub-area I)                        
1994   0.42 0.85 1.44 2.77 3.54 4.08 5.84 6.37 7.02 7.48 7.37      
1995     1.17 0.91 1.60 2.28 3.61 4.73 6.27     6.26      
1996     0.36 0.99 1.55 2.83 3.79 4.81 5.34 7.25 7.68 9.08 8.98 10.52  
1997   0.42 0.43 0.76 1.60 2.40 3.45 4.40 5.74 6.15   8.28 10.52 9.89  
UK (England & Wales)                        
1995 1     1.47 2.11 3.47 5.57 6.43 7.17 8.12 8.05 10.2 10.1    
1996 2     1.55 1.81 2.42 3.61 6.3 6.47 7.83 7.91 8.93 9.38 10.9  
1997 2     1.93 2.17 3.07 4.17 4.89 6.46   12.3 8.44      
  1 Division IIa and IIb                      
  2 Division IIa                        
Poland (Division IIb)                        
2006   0.18 0.51 0.89 1.55 2.23 3.6 5.28 6.95 8.478 11 10.8 15.6 18.9  
2008     0.49 0.90 1.45 2.24 2.79 3.82 4.68 5.015 6.45 7.02 7.22 5.99 6.91
2009       1.02 1.72 2.65 3.81 5.23 6.91 8.862 11.1 13.6 16.5    
2010       1.39 1.66 2.29 2.98 3.92 5.18 6.313 6.66 8.72 9.05    
2011       0.99 1.50 2.17 3.15 4.43 7.45 7.28          
2016 1   0.84 1.59 2.29 2.81 3.91 4.78 5.61 6.709 7.89 8.54 11.6 13.7 16.09
2017 2   0.71 1.23 1.52 2.47 3.52 4.78 6.97 9.193 9.95 10.9 14.1    
2018 3   0.74 1.15 1.66 2.45 3.55 4.48 6.06 6.31 7.59 7.91 8.28 8.52 9.40
2019 1       1.57 2.00 2.69 4.04 5.61 7.23 9.13 11.62 12.41 13.46 11.47
  1 Division IIa                        
  2 Division IIa and IIb                      
  3 I and IIb combined                      
Table 3.7. Northeast Arctic COD. Weights at age (kg) in landings from various countries (continued)

SAM Wed May 29 15:23:46 2024

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp
1946 0.350 0.590 1.110 1.690 2.370 3.170 3.980 5.050 5.920 7.200 8.150 8.130 9.250
1947 0.320 0.560 0.950 1.500 2.140 2.920 3.650 4.560 5.840 7.420 8.850 8.790 10.000
1948 0.340 0.530 1.260 1.930 2.460 3.360 4.220 5.310 5.920 7.090 8.430 8.180 9.430
1949 0.370 0.670 1.110 1.660 2.500 3.230 4.070 5.270 5.990 7.080 8.220 8.260 8.700
1950 0.390 0.640 1.290 1.700 2.360 3.480 4.520 5.620 6.400 7.960 8.890 9.070 10.270
1951 0.400 0.830 1.390 1.880 2.540 3.460 4.880 5.200 7.140 8.220 9.390 9.500 9.520
1952 0.440 0.800 1.330 1.920 2.640 3.710 5.060 6.050 7.420 8.430 10.190 10.130 10.560
1953 0.400 0.760 1.280 1.930 2.810 3.720 5.060 6.340 7.400 8.670 10.240 11.410 11.930
1954 0.440 0.770 1.260 1.970 3.030 4.330 5.400 6.750 7.790 10.670 9.680 9.560 11.110
1955 0.320 0.570 1.130 1.730 2.750 3.940 4.900 7.040 7.200 8.780 10.080 11.020 12.110
1956 0.330 0.580 1.070 1.830 2.890 4.250 5.550 7.280 8.000 8.350 9.940 10.250 11.560
1957 0.330 0.590 1.020 1.820 2.890 4.280 5.490 7.510 8.240 9.250 10.610 10.820 12.070
1958 0.340 0.520 0.950 1.920 2.940 4.210 5.610 7.350 8.670 9.580 11.630 11.000 13.830
1959 0.350 0.720 1.470 2.680 3.590 4.320 5.450 6.440 7.170 8.630 11.620 11.950 13.000
1960 0.340 0.510 1.090 2.130 3.380 4.870 6.120 8.490 7.790 8.300 11.420 11.720 13.420
1961 0.310 0.550 1.050 2.200 3.230 5.110 6.150 8.150 8.680 9.600 11.950 13.180 13.420
1962 0.320 0.550 0.930 1.700 3.030 5.030 6.550 7.700 9.270 10.560 12.720 13.480 14.440
1963 0.320 0.610 0.960 1.730 3.040 4.960 6.440 7.910 9.620 11.310 12.740 13.190 14.290
1964 0.330 0.550 0.950 1.860 3.250 4.970 6.410 8.070 9.340 10.160 12.890 13.250 14.000
1965 0.380 0.680 1.030 1.490 2.410 3.520 5.730 7.540 8.470 11.170 13.720 13.460 14.120
1966 0.440 0.740 1.180 1.780 2.460 3.820 5.360 7.270 8.630 10.660 14.150 14.000 15.000
1967 0.290 0.810 1.350 2.040 2.810 3.480 4.890 7.110 9.030 10.590 13.830 14.150 16.760
1968 0.330 0.700 1.480 2.120 3.140 4.210 5.270 6.650 9.010 9.660 14.850 16.300 17.000
1969 0.440 0.790 1.230 2.030 2.900 3.810 5.020 6.430 8.330 10.710 14.210 15.000 17.000
1970 0.370 0.910 1.340 2.000 3.000 4.150 5.590 7.600 8.970 10.990 14.070 14.610 16.000
1971 0.450 0.880 1.380 2.160 3.070 4.220 5.810 7.130 8.620 10.830 12.950 14.250 15.970
1972 0.380 0.770 1.430 2.120 3.230 4.380 5.830 7.620 9.520 12.090 13.670 13.850 16.000
1973 0.380 0.910 1.540 2.260 3.290 4.610 6.570 8.370 10.540 11.620 13.900 14.000 15.840
1974 0.320 0.660 1.170 2.220 3.210 4.390 5.520 7.860 9.820 11.410 13.240 13.700 14.290
1975 0.410 0.640 1.110 1.900 2.950 4.370 5.740 8.770 9.920 11.810 13.110 14.000 14.290
1976 0.350 0.730 1.190 2.010 2.760 4.220 5.880 9.300 10.280 11.860 13.540 14.310 14.280
1977 0.490 0.900 1.430 2.050 3.300 4.560 6.460 8.630 9.930 10.900 13.670 14.260 14.910
1978 0.490 0.810 1.450 2.150 3.040 4.460 6.540 7.980 10.150 10.850 13.180 14.000 15.000
1979 0.350 0.700 1.240 2.140 3.150 4.290 6.580 8.610 9.220 10.890 14.340 14.500 15.310
1980 0.270 0.560 1.020 1.720 3.020 4.200 5.840 7.260 8.840 9.280 14.450 15.000 15.500
1981 0.490 0.980 1.440 2.090 2.980 4.850 6.570 9.160 10.820 10.770 13.930 15.000 16.000
1982 0.370 0.660 1.350 1.990 2.930 4.240 6.460 8.510 12.240 10.780 14.040 15.000 16.000
1983 0.840 1.370 2.090 2.860 3.990 5.580 7.770 9.290 11.550 11.420 12.800 14.180 15.550
1984 1.420 1.930 2.490 3.140 3.910 4.910 6.020 7.400 8.130 11.420 12.800 14.180 15.550
1985 0.940 1.370 2.020 3.220 4.630 6.040 7.660 9.810 11.800 11.420 12.800 14.180 15.550
1986 0.640 1.270 1.880 2.790 4.490 5.840 6.830 7.690 9.810 11.420 12.800 14.180 15.550
1987 0.490 0.880 1.550 2.330 3.440 5.920 8.600 9.600 12.170 11.420 12.800 14.180 15.550
1988 0.540 0.850 1.320 2.240 3.520 5.350 8.060 9.510 11.360 11.420 12.800 14.180 15.550
1989 0.740 0.960 1.310 1.920 2.930 4.640 7.520 9.120 11.080 11.420 12.800 14.180 15.550
1990 0.810 1.220 1.640 2.220 3.240 4.680 7.300 9.840 13.250 11.420 12.800 14.180 15.550
1991 1.050 1.450 2.150 2.890 3.750 4.710 6.080 8.820 11.800 11.420 12.800 14.180 15.550
1992 1.160 1.570 2.210 3.100 4.270 5.190 6.140 7.770 10.120 11.420 12.800 14.180 15.550
1993 0.810 1.520 2.160 2.790 4.070 5.530 6.470 7.190 7.980 11.457 12.800 14.180 15.550
1994 0.820 1.300 2.060 2.890 3.210 5.200 6.800 7.570 8.010 9.955 13.012 14.180 15.550
1995 0.770 1.200 1.780 2.590 3.810 4.990 6.230 8.050 8.740 9.774 11.388 14.546 15.550
1996 0.790 1.110 1.610 2.460 3.820 5.720 6.740 8.040 9.280 10.451 11.190 12.819 16.045
1997 0.670 1.040 1.530 2.220 3.420 5.200 7.190 7.730 8.610 11.145 11.926 12.608 14.234
1998 0.680 1.050 1.620 2.300 3.300 4.860 6.870 9.300 10.300 10.754 12.676 13.394 14.011
1999 0.630 1.010 1.540 2.340 3.210 4.290 6.000 6.730 10.080 11.151 12.255 14.191 14.839
2000 0.570 1.040 1.610 2.340 3.340 4.480 5.720 7.520 8.020 11.930 12.682 13.743 15.675
2001 0.660 1.050 1.620 2.510 3.510 4.780 6.040 7.540 9.000 10.230 13.519 14.197 15.206
2002 0.720 1.130 1.560 2.310 3.520 4.780 6.200 7.660 9.140 10.379 11.687 15.081 15.681
2003 0.670 1.120 1.830 2.500 3.580 5.040 6.360 8.200 10.710 10.167 11.848 13.138 16.602
2004 0.720 1.130 1.610 2.430 3.270 4.720 6.710 7.980 9.190 10.840 11.619 13.310 14.571
2005 0.690 1.080 1.570 2.210 3.260 4.440 6.230 8.190 9.720 10.626 12.347 13.066 14.752
2006 0.720 1.160 1.600 2.390 3.320 4.540 5.470 6.780 7.700 10.800 12.116 13.842 14.494
2007 0.740 1.210 1.830 2.510 3.820 5.040 6.580 8.080 8.940 10.349 12.304 13.596 15.309
2008 0.770 1.270 1.870 2.820 3.790 5.120 6.220 7.750 8.400 10.139 11.816 13.795 15.052
2009 0.750 1.170 1.740 2.420 3.860 5.350 6.430 8.010 8.670 10.055 11.588 13.276 15.261
2010 0.780 1.200 1.740 2.440 3.400 5.040 6.250 7.320 8.530 10.378 11.496 13.033 14.715
2011 0.780 1.310 1.720 2.370 3.200 4.620 6.180 7.470 8.570 10.387 11.847 12.935 14.459
2012 0.670 1.140 1.730 2.340 3.120 4.400 6.280 8.240 10.350 10.367 11.857 13.309 14.356
2013 0.710 1.170 1.670 2.360 3.190 4.220 5.580 7.310 9.080 11.029 11.835 13.320 14.750
2014 0.790 1.200 1.730 2.340 3.280 4.210 5.490 6.980 8.670 10.823 12.551 13.297 14.761
2015 0.780 1.090 1.550 2.180 3.140 4.460 5.610 6.620 7.340 10.215 12.328 14.058 14.737
2016 0.780 1.140 1.660 2.260 3.250 4.500 5.980 7.310 8.540 9.372 11.670 13.822 15.536
2017 0.710 1.150 1.660 2.320 3.320 4.670 6.130 7.150 8.140 9.597 10.752 13.121 15.288
2018 0.860 1.170 1.710 2.500 3.310 4.610 6.030 7.320 8.060 9.707 10.998 12.137 14.552
2019 0.680 1.150 1.660 2.390 3.330 4.450 6.110 7.290 8.410 9.806 11.117 12.401 13.513
2020 0.709 1.084 1.604 2.195 3.092 4.390 5.731 7.218 8.406 9.989 11.226 12.529 13.793
2021 0.527 0.896 1.487 2.159 2.982 4.364 6.048 7.348 8.796 9.991 11.424 12.645 13.928
2022 0.623 0.956 1.478 2.245 3.247 4.441 5.877 7.328 8.738 10.122 11.427 12.858 14.051
2023 0.638 1.056 1.617 2.346 3.310 4.470 5.794 7.141 8.777 9.988 11.519 12.792 14.184
Table 3.8. Northeast Arctic COD. Catch weights at age (kg)

* values starting from 1993, ages 12-15, have been updated by the VB model using the most recent actual data for ages 3-11

SAM Wed May 29 15:23:46 2024

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp
1946 0.35 0.59 1.11 1.69 2.37 3.17 3.98 5.05 5.92 7.2 8.146 8.133 9.253
1947 0.32 0.56 0.95 1.5 2.14 2.92 3.65 4.56 5.84 7.42 8.848 8.789 9.998
1948 0.34 0.53 1.26 1.93 2.46 3.36 4.22 5.31 5.92 7.09 8.43 8.181 9.433
1949 0.37 0.67 1.11 1.66 2.5 3.23 4.07 5.27 5.99 7.08 8.218 8.259 8.701
1950 0.39 0.64 1.29 1.7 2.36 3.48 4.52 5.62 6.4 7.96 8.891 9.07 10.271
1951 0.4 0.83 1.39 1.88 2.54 3.46 4.88 5.2 7.14 8.22 9.389 9.502 9.517
1952 0.44 0.8 1.33 1.92 2.64 3.71 5.06 6.05 7.42 8.43 10.185 10.134 10.563
1953 0.4 0.76 1.28 1.93 2.81 3.72 5.06 6.34 7.4 8.67 10.238 11.409 11.926
1954 0.44 0.77 1.26 1.97 3.03 4.33 5.4 6.75 7.79 10.67 9.68 9.557 11.106
1955 0.32 0.57 1.13 1.73 2.75 3.94 4.9 7.04 7.2 8.78 10.077 11.023 12.105
1956 0.33 0.58 1.07 1.83 2.89 4.25 5.55 7.28 8 8.35 9.944 10.248 11.564
1957 0.33 0.59 1.02 1.82 2.89 4.28 5.49 7.51 8.24 9.25 10.605 10.825 12.075
1958 0.34 0.52 0.95 1.92 2.94 4.21 5.61 7.35 8.67 9.58 11.631 11 13.832
1959 0.35 0.72 1.47 2.68 3.59 4.32 5.45 6.44 7.17 8.63 11.621 11.95 13
1960 0.34 0.51 1.09 2.13 3.38 4.87 6.12 8.49 7.79 8.3 11.422 11.719 13.424
1961 0.31 0.55 1.05 2.2 3.23 5.11 6.15 8.15 8.68 9.6 11.952 13.181 13.422
1962 0.32 0.55 0.93 1.7 3.03 5.03 6.55 7.7 9.27 10.56 12.717 13.482 14.44
1963 0.32 0.61 0.96 1.73 3.04 4.96 6.44 7.91 9.62 11.31 12.737 13.193 14.287
1964 0.33 0.55 0.95 1.86 3.25 4.97 6.41 8.07 9.34 10.16 12.886 13.251 14
1965 0.38 0.68 1.03 1.49 2.41 3.52 5.73 7.54 8.47 11.17 13.722 13.465 14.118
1966 0.44 0.74 1.18 1.78 2.46 3.82 5.36 7.27 8.63 10.66 14.148 14 15
1967 0.29 0.81 1.35 2.04 2.81 3.48 4.89 7.11 9.03 10.59 13.829 14.146 16.756
1968 0.33 0.7 1.48 2.12 3.14 4.21 5.27 6.65 9.01 9.66 14.848 16.3 17
1969 0.44 0.79 1.23 2.03 2.9 3.81 5.02 6.43 8.33 10.71 14.211 15 17
1970 0.37 0.91 1.34 2 3 4.15 5.59 7.6 8.97 10.99 14.074 14.611 16
1971 0.45 0.88 1.38 2.16 3.07 4.22 5.81 7.13 8.62 10.83 12.945 14.25 15.973
1972 0.38 0.77 1.43 2.12 3.23 4.38 5.83 7.62 9.52 12.09 13.673 13.852 16
1973 0.38 0.91 1.54 2.26 3.29 4.61 6.57 8.37 10.54 11.62 13.904 14 15.841
1974 0.32 0.66 1.17 2.22 3.21 4.39 5.52 7.86 9.82 11.41 13.242 13.704 14.291
1975 0.41 0.64 1.11 1.9 2.95 4.37 5.74 8.77 9.92 11.81 13.107 14 14.293
1976 0.35 0.73 1.19 2.01 2.76 4.22 5.88 9.3 10.28 11.86 13.544 14.311 14.284
1977 0.49 0.9 1.43 2.05 3.3 4.56 6.46 8.63 9.93 10.9 13.668 14.255 14.906
1978 0.49 0.81 1.45 2.15 3.04 4.46 6.54 7.98 10.15 10.85 13.177 14 15
1979 0.35 0.7 1.24 2.14 3.15 4.29 6.58 8.61 9.22 10.89 14.344 14.5 15.315
1980 0.27 0.56 1.02 1.72 3.02 4.2 5.84 7.26 8.84 9.28 14.448 15 15.5
1981 0.49 0.98 1.44 2.09 2.98 4.85 6.57 9.16 10.82 10.77 13.932 15 16
1982 0.37 0.66 1.35 1.99 2.93 4.24 6.46 8.51 12.24 10.78 14.041 15 16
1983 0.37 0.92 1.6 2.44 3.82 4.76 6.17 7.7 9.25 12.621 14.544 16.466 18.388
1984 0.42 1.16 1.81 2.79 3.78 4.57 6.17 7.7 9.25 12.621 14.544 16.466 18.388
1985 0.413 0.875 1.603 2.81 4.059 5.833 7.685 10.117 14.29 12.621 14.544 16.466 18.388
1986 0.311 0.88 1.47 2.467 3.915 5.81 6.58 6.833 11.004 12.621 14.544 16.466 18.388
1987 0.211 0.498 1.254 2.047 3.431 5.137 6.523 9.3 13.15 12.621 14.544 16.466 18.388
1988 0.212 0.404 0.79 1.903 2.977 4.392 7.812 12.112 13.107 12.621 14.544 16.466 18.388
1989 0.299 0.52 0.868 1.477 2.686 4.628 7.048 9.98 9.25 12.621 14.544 16.466 18.388
1990 0.398 0.705 1.182 1.719 2.458 3.565 4.71 7.801 8.956 12.621 14.544 16.466 18.388
1991 0.518 1.136 1.743 2.428 3.214 4.538 6.88 10.719 9.445 12.621 14.544 16.466 18.388
1992 0.44 0.931 1.812 2.716 3.895 5.176 6.774 9.598 12.427 12.621 14.544 16.466 18.388
1993 0.344 1.172 1.82 2.823 4.031 5.497 6.765 8.571 10.847 12.621 14.544 16.466 18.388
1994 0.237 0.757 1.419 2.458 3.845 5.374 6.648 7.653 8.136 12.916 16.114 16.466 18.388
1995 0.197 0.487 1.141 2.118 3.504 4.915 6.949 9.051 9.775 11.409 15.248 18.62 18.388
1996 0.206 0.482 0.98 2.041 3.52 5.507 7.74 9.922 10.63 12.093 13.533 17.659 21.171
1997 0.211 0.537 1.11 1.876 3.381 5.258 8.546 10.653 10.776 13.232 14.313 15.745 20.122
1998 0.242 0.561 1.179 1.936 2.944 4.583 7.092 10.7 12.042 13.771 15.607 16.617 18.021
1999 0.209 0.514 1.183 2.007 3.037 4.479 6.512 10.028 11.117 14.698 16.215 18.057 18.981
2000 0.194 0.465 1.218 1.963 3.064 4.12 5.746 7.157 9.961 14.589 17.26 18.733 20.557
2001 0.284 0.513 1.21 2.25 3.299 5.066 6.373 9.29 11.456 13.317 17.138 19.887 21.294
2002 0.23 0.603 1.184 2.138 3.336 4.81 6.912 8.809 10.475 12.534 15.703 19.752 22.549
2003 0.233 0.551 1.317 2.022 3.239 4.984 6.727 8.422 14.226 12.524 14.815 18.164 22.403
2004 0.24 0.55 1.074 2.038 2.911 4.402 6.263 8.535 10.197 12.371 14.803 17.176 20.674
2005 0.225 0.61 1.083 1.87 3.002 3.971 5.789 8.127 12.759 12.611 14.63 17.163 19.594
2006 0.252 0.591 1.219 2.014 3.028 4.434 5.999 7.774 9.954 13.679 14.902 16.971 19.58
2007 0.249 0.663 1.329 2.127 3.183 4.59 6.477 8.88 12.124 12.261 16.111 17.274 19.368
2008 0.286 0.726 1.418 2.41 3.331 4.914 6.747 8.851 10.393 12.776 14.504 18.617 19.701
2009 0.274 0.652 1.353 2.312 3.803 5.103 6.75 9.252 10.119 12.323 15.09 16.83 21.168
2010 0.258 0.608 1.208 2.01 3.088 4.903 6.498 7.992 9.689 12.467 14.574 17.483 19.214
2011 0.225 0.6 1.097 1.926 2.861 4.403 6.531 8.648 9.885 12.508 14.738 16.909 19.929
2012 0.227 0.555 1.182 1.834 2.831 4.124 6.056 8.584 11.498 12.249 14.785 17.092 19.3
2013 0.247 0.577 1.134 1.998 2.841 4.015 5.523 8.077 10.304 13.207 14.491 17.144 19.501
2014 0.216 0.577 1.137 1.791 2.781 3.85 5.245 6.992 9.378 12.746 15.578 16.816 19.558
2015 0.229 0.54 1.134 1.934 2.753 4.081 5.315 7.135 8.947 11.778 15.056 18.025 19.198
2016 0.21 0.536 1.001 1.812 2.72 3.958 5.64 7.064 8.569 10.885 13.954 17.445 20.522
2017 0.255 0.675 1.107 1.896 2.826 4.158 5.7 7.628 9.071 10.634 12.934 16.216 19.888
2018 0.286 0.62 1.188 1.949 2.768 4.059 5.749 7.38 9.097 10.8 12.646 15.073 18.54
2019 0.24 0.603 1.085 1.82 3.025 4.296 5.891 7.293 9.667 11.186 12.837 14.749 17.28
2020 0.148 0.503 1.055 1.692 2.59 4.064 5.617 7.673 9.313 11.306 13.278 14.964 16.922
2021 0.17 0.437 0.954 1.718 2.669 3.804 5.822 7.396 9.334 11.187 13.415 15.459 17.159
2022 0.293 0.48 0.929 1.616 2.741 3.933 5.744 8.012 9.648 11.361 13.279 15.613 17.706
2023 0.272 0.645 1.022 1.71 2.876 4.352 5.925 7.879 9.79 11.36 13.478 15.46 17.876
2024 0.246 0.706 1.075 1.803 2.667 3.995 5.95 7.011 9.436 11.714 13.477 15.683 17.707
Table 3.9. Northeast Arctic COD. Stock weights at age (kg)

2023 data updated,

values starting from 1993, ages 12-15, have been updated by the VB model using the most recent actual data for ages 3-11

Norway              
               
  Percentage mature
  Age
Year 3 4 5 6 7 8 9 10
                 
1982 0 5 10 34 65 82 92 100
1983 5 8 10 30 73 88 97 100
                 
Russia                
  Percentage mature
  Age
Year 3 4 5 6 7 8 9 10
                 
1984 0 5 18 31 56 90 99 100
1985 0 1 10 33 59 85 92 100
1986 0 2 9 19 56 76 89 100
1987 0 1 9 23 27 61 81 80
1988 0 1 3 25 53 79 100 100
1989 0 0 2 15 39 59 83 100
1990 0 2 6 20 47 62 81 95
1991 0 3 1 23 66 82 96 100
1992 0 1 8 31 73 92 95 100
1993 0 3 7 21 56 89 95 99
1994 0 1 8 30 55 84 95 98
1995 0 0 4 23 61 75 94 97
1996 0 0 1 22 56 82 95 100
1997 0 0 1 10 48 73 90 100
1998 0 0 2 15 47 87 97 96
1999 0 0.2 1.3 9.9 38.4 74.9 94 100
2000 0 0 6 19.2 51.4 84 95.5 100
2001 0.1 0.1 3.9 27.9 62.3 89.4 96.3 100
2002 0.1 1.9 10.9 34.4 68.1 82.8 97.6 100
2003 0.2 0 11 29.2 65.9 89.6 95.1 100
2004 0 0.7 8 33.8 63.3 83.4 96.4 96.4
2005 0 0.6 4.6 24.2 61.5 84.9 95.3 98.1
2006 0 0 6.1 29.6 59.6 89.5 96.4 100
2007 0 0.4 5.7 20.8 60.4 83.5 96 100
2008 0 0.5 4 24.6 48.3 84.4 94.7 98.7
2009 0 0 6 28 66 85 97 100
2010 0 0.2 1.5 22.8 47 77.4 90.2 95.5
2011 0 0 2.2 20.7 50.4 73.7 90.6 95.6
2012 0.2 0 1.5 10.8 43.9 76.1 90.8 96.4
2013 0 0 0.6 10.6 41.8 70.6 89.8 96.9
2014 0 0 1.9 14.1 45.9 76 92 97.5
2015 0 0.2 0.2 7.9 27 60.8 83.4 93.7
2016 0 0 0.2 5.2 22.4 44.1 74.8 92.5
2017* 0 0 0.8 6.3 20.8 51.6 80.4 98.6
2018 0 0.5 2.5 23.6 53.9 79.4 92.5 96.0
2019** 0 0 4.5 11.9 56.4 91.8 95.1 100
2020** 0 0.4 1.7 15.8 43.8 71.2 74.9 84.9
2021** 0 0 2.7 16.1 44.1 72.2 87.1 88.1
2022** 0 0 0.8 11.6 59.7 72.6 80.4 96.2
2023** 0 0 0.3 12.3 50.9 84.3 92.6 97.5
2024** 0 0 1.4 10.2 32.5 74.8 97.4 100
*Not used in inputs (instead ratios presented in WD 10, 2017 used for further calculations) **Not used in inputs (instead ratios presented in WD 15, 2019 used for further calculations)
Table 3.10. Northeast Arctic COD. Basis for maturity ogives (percent) used in the assessment. Norwegian and Russian data.
Norway                
  Percentage mature
  Age
Year 3 4 5 6 7 8 9 10
1985 0.31 1.36 8.94 38.33 51.27 85.13 100 79.2
1986 2.92 7 7.85 18.85 49.72 66.52 35.59 80.09
1987 0 0.07 4.49 12.42 16.28 31.23 19.32  
1988 0 2.35 6.16 40.54 53.63 45.36 100 100
1989 1.52 0.67 3.88 30.65 70.36 82.02 100 100
1990 1.52 0.67 4.18 22 57.45 80.95 100 100
1991 0.1 3.4 13.93 38.03 75.52 90.12 95.39 100
1992 0.22 1.85 21.04 52.83 86.95 96.52 99.83 100
1993 0 2.6 10.37 52.6 84.8 97.25 99.3 99.73
1994 0.51 0.33 15.78 36.92 62.84 88.44 97.56 100
1995 0 0.62 8.19 51.48 63.75 81.11 98.01 99.34
1996 0.03 0 2.82 29.56 70.22 82.06 100 100
1997 0 0 1.48 17.91 73.31 93.01 99.12 100
1998 0.12 0.68 3.17 15.42 47.31 75.73 94.3 100
1999 0.42 0.16 1.6 27.46 70.48 94.57 98.99 100
2000 0 0.11 8.15 30.23 77.3 81.95 100 100
2001 0.49 0.51 9.03 43.81 62.52 74.36 94.13 100
2002 0.27 0.73 5.94 43.22 68.4 85.31 92.52 100
2003 0.02 0.18 6.5 35.97 68.56 87.97 96.3 100
2004 0.24 1.36 10.23 54.56 81.84 90.94 98.76 98.91
2005 0 0.27 9 55.16 81.77 93.51 98.03 100
2006 0 0.22 5.92 44.25 69.85 89.89 96.65 100
2007 0.12 0.33 8.7 47.88 84.29 91.68 99.11 100
2008 0 0.27 9.27 34.13 61.39 88.04 91.17 100
2009 0 0 9 46 85 86 98 99
2010 0 0.36 7.5 41.75 67.7 90.1 95.29 98.55
2011 0 0.2 5.2 48 77.7 89.7 97.3 97.2
2012 0 0 7.7 32.2 67.5 81 90.9 96.3
2013 0 0.3 1 20.2 55.3 80 91.8 99.3
2014 0 0.4 2 13.3 56.7 85 93.8 98.7
2015 0 0 1.9 10.9 29.2 79.1 93.1 99.6
2016 0.07 0.2 1.0 6.4 28.5 71.3 86.1 98.6
2017 0 0.2 0.5 18 54.8 81.4 95.9 100
2018 0 0.1 3.0 16.2 38.3 61.0 93.7 98.9
2019 0 0.4 4.0 24.0 68.6 93.2 96.7 99.8
2020 0 0.44 3.18 13.68 42.51 80.06 91.18 94.03
2021 0.28 0.25 0.79 17.11 43.21 68.80 90.75 98.63
2022 1.55 0 1.19 9.54 44.22 70.17 77.19 98.50
2023 0.80 2.10 2.29 8.89 49.84 80.60 94.93 94.05
2024 0.00 0.30 1.08 10.98 37.92 73.88 96.51 99.23

SAM Wed May 29 15:23:46 2024

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp
1946 0 0 0.01 0.03 0.06 0.11 0.18 0.44 0.65 0.86 0.96 0.96 1
1947 0 0 0.01 0.03 0.06 0.13 0.16 0.42 0.75 0.91 0.95 1 1
1948 0 0 0.01 0.03 0.07 0.13 0.25 0.47 0.73 0.91 0.97 1 1
1949 0 0 0.01 0.03 0.09 0.17 0.29 0.54 0.79 0.88 0.97 1 1
1950 0 0 0.01 0.03 0.09 0.23 0.35 0.52 0.79 0.95 0.97 1 1
1951 0 0 0.01 0.03 0.1 0.24 0.4 0.58 0.72 0.85 0.96 1 1
1952 0 0 0.01 0.03 0.08 0.22 0.41 0.63 0.82 0.92 0.97 1 1
1953 0 0 0.01 0.03 0.07 0.19 0.4 0.64 0.84 0.94 0.97 1 1
1954 0 0 0.01 0.03 0.08 0.16 0.37 0.68 0.87 0.93 0.96 1 1
1955 0 0 0.01 0.03 0.07 0.13 0.26 0.53 0.83 0.92 0.97 1 1
1956 0 0 0.01 0.03 0.06 0.12 0.14 0.41 0.67 0.91 0.96 1 1
1957 0 0 0.01 0.03 0.06 0.09 0.12 0.22 0.6 0.82 0.97 1 1
1958 0 0 0.01 0.03 0.06 0.1 0.1 0.3 0.5 0.82 0.97 1 1
1959 0 0 0.01 0.04 0.12 0.34 0.49 0.67 0.84 0.87 1 1 1
1960 0 0.01 0.03 0.06 0.1 0.19 0.45 0.69 0.77 0.85 0.99 1 1
1961 0 0 0.01 0.06 0.12 0.31 0.65 0.91 0.98 0.98 1 0.96 1
1962 0 0 0.01 0.05 0.15 0.34 0.61 0.81 0.92 0.97 1 0.932 1
1963 0 0.01 0.01 0.03 0.07 0.28 0.42 0.81 0.98 0.98 1 0.966 1
1964 0 0 0 0.03 0.13 0.37 0.66 0.89 0.95 0.99 1 1 1
1965 0 0 0 0.01 0.06 0.2 0.55 0.73 0.99 0.98 1 1 1
1966 0 0 0.01 0.02 0.06 0.22 0.35 0.74 0.94 0.94 1 1 1
1967 0 0 0 0.03 0.07 0.14 0.38 0.64 0.89 0.9 1 1 1
1968 0 0 0.03 0.05 0.09 0.19 0.39 0.58 0.82 1 1 1 1
1969 0 0 0 0.02 0.04 0.12 0.34 0.55 0.74 0.95 1 1 1
1970 0 0.01 0 0.01 0.07 0.23 0.58 0.81 0.89 0.91 1 1 1
1971 0 0 0.01 0.05 0.11 0.3 0.59 0.79 0.86 0.88 1 1 1
1972 0.01 0.02 0.02 0.01 0.1 0.34 0.64 0.81 0.94 1 1 1 1
1973 0 0 0 0.02 0.16 0.53 0.81 0.92 0.95 0.98 1 1 1
1974 0 0 0 0.01 0.03 0.21 0.5 0.96 1 0.96 1 1 1
1975 0 0 0.01 0.02 0.09 0.21 0.56 0.78 0.79 0.95 1 1 1
1976 0 0 0 0.05 0.12 0.29 0.45 0.84 0.83 1 0.9 1 1
1977 0 0 0.02 0.08 0.26 0.54 0.76 0.87 0.93 0.94 0.9 1 1
1978 0 0 0 0.02 0.13 0.44 0.71 0.77 0.81 0.89 0.8 1 1
1979 0 0 0 0.03 0.13 0.39 0.77 0.89 0.83 0.78 0.9 1 1
1980 0 0 0 0.02 0.13 0.35 0.65 0.82 1 0.9 0.9 1 1
1981 0 0 0.02 0.07 0.2 0.54 0.8 0.97 1 1 1 1 1
1982 0 0.05 0.1 0.34 0.65 0.82 0.92 1 1 1 1 1 1
1983 0.01 0.08 0.1 0.3 0.73 0.88 0.97 1 1 1 1 1 1
1984 0 0.05 0.18 0.31 0.56 0.9 0.99 1 1 1 1 1 1
1985 0 0.01 0.09 0.36 0.55 0.85 0.96 0.9 1 1 1 1 1
1986 0 0.05 0.08 0.19 0.53 0.71 0.62 0.9 1 1 1 1 1
1987 0 0.01 0.07 0.18 0.22 0.46 0.5 0.75 1 1 1 1 1
1988 0 0.02 0.05 0.33 0.53 0.62 1 1 1 1 1 1 1
1989 0.008 0.003 0.029 0.228 0.547 0.705 0.915 1 1 1 1 1 1
1990 0.008 0.013 0.051 0.21 0.522 0.715 0.905 0.975 1 1 1 1 1
1991 0.001 0.032 0.075 0.305 0.708 0.861 0.957 1 1 1 1 1 1
1992 0.001 0.014 0.145 0.419 0.8 0.943 0.974 1 1 1 1 1 1
1993 0 0.028 0.087 0.368 0.704 0.931 0.972 0.994 1 1 1 1 1
1994 0 0.005 0.119 0.336 0.583 0.876 0.965 0.99 1 1 1 1 1
1995 0 0.005 0.06 0.373 0.614 0.748 0.955 0.98 1 1 1 1 1
1996 0 0 0.016 0.252 0.619 0.817 0.975 1 1 1 1 1 1
1997 0 0 0.014 0.14 0.597 0.842 0.95 0.967 1 1 1 1 1
1998 0 0.005 0.031 0.168 0.468 0.828 0.956 0.98 1 1 1 1 1
1999 0 0.001 0.014 0.17 0.506 0.841 0.961 1 1 1 1 1 1
2000 0 0 0.066 0.261 0.699 0.872 0.978 1 1 1 1 1 1
2001 0.001 0.006 0.069 0.378 0.646 0.851 0.955 1 1 1 1 1 1
2002 0.001 0.015 0.085 0.412 0.695 0.846 0.97 1 1 1 1 1 1
2003 0.001 0 0.089 0.331 0.662 0.882 0.96 1 1 1 1 1 1
2004 0 0.009 0.092 0.438 0.728 0.883 0.973 0.974 1 1 1 1 1
2005 0 0.003 0.066 0.366 0.72 0.897 0.971 0.991 1 1 1 1 1
2006 0 0.015 0.061 0.367 0.633 0.907 0.961 1 1 1 1 1 1
2007 0 0.007 0.076 0.37 0.719 0.884 0.977 1 1 1 1 1 1
2008 0.005 0.008 0.082 0.309 0.539 0.869 0.928 0.994 1 1 1 1 1
2009 0 0 0.081 0.362 0.745 0.859 0.978 0.997 0.994 1 1 1 1
2010 0.005 0.006 0.06 0.335 0.552 0.838 0.931 0.971 0.983 1 1 1 1
2011 0 0 0.04 0.339 0.644 0.798 0.932 0.963 0.991 1 1 1 1
2012 0.001 0 0.058 0.209 0.544 0.799 0.93 0.967 0.99 1 1 1 1
2013 0 0 0.01 0.156 0.482 0.763 0.913 0.982 0.985 1 1 1 1
2014 0 0 0.025 0.137 0.516 0.806 0.935 0.984 0.996 1 1 1 1
2015 0 0.001 0.004 0.074 0.282 0.681 0.891 0.963 0.984 1 1 1 1
2016 0 0 0.002 0.057 0.256 0.569 0.832 0.955 0.984 1 1 1 1
2017 0 0.018 0.003 0.148 0.463 0.749 0.931 0.99 1 1 1 1 1
2018 0 0.003 0.028 0.207 0.478 0.731 0.916 0.971 1 1 1 1 1
2019 0 0 0.01 0.126 0.466 0.842 0.942 0.968 0.996 1 1 1 1
2020 0 0 0.014 0.112 0.356 0.775 0.904 0.955 1 1 1 1 1
2021 0.002 0.002 0.006 0.14 0.386 0.657 0.893 0.974 0.959 1 1 1 1
2022 0.014 0 0.01 0.079 0.402 0.674 0.756 0.975 1 1 1 1 1
2023 0.007 0.02 0.019 0.074 0.454 0.774 0.93 0.931 1 1 1 1 1
2024 0 0.003 0.009 0.091 0.345 0.709 0.946 0.982 1 1 1 1 1
Table 3.11. Northeast Arctic cod. Proportion mature-at-age



Year/age 0 1 2 3 4 5 6
1984 0.000 444.692 22.438 0.216 0.000 0.000 0.000
1985 1627.802 354.039 71.711 0.198 0.000 0.000 0.000
1986 69.080 1114.780 343.699 87.608 0.000 0.000 0.000
1987 649.421 194.012 325.201 14.392 0.000 0.000 0.000
1988 32.172 485.301 26.482 1.791 0.000 0.000 0.000
1989 953.718 142.813 0.000 0.000 0.000 0.000 0.000
1990 0.000 110.169 23.524 0.000 0.000 0.000 0.000
1991 118.095 138.911 182.399 1.621 0.000 0.000 0.000
1992 3148.272 894.249 143.699 4.190 0.000 0.000 0.000
1993 3860.477 18251.786 479.661 46.391 1.306 0.420 0.000
1994 7963.520 7018.563 648.501 129.613 49.590 7.864 0.409
1995 8174.708 14866.757 759.039 211.213 67.018 3.730 0.222
1996 10170.629 21688.051 1473.363 136.550 52.811 18.502 1.070
1997 3069.149 17614.488 1897.232 165.961 15.751 1.218 0.220
1998 92.182 5690.457 577.717 204.732 23.508 1.459 0.467
1999 635.509 2104.161 303.649 50.828 4.193 0.004 0.000
2000 1912.370 2547.861 188.046 38.319 13.963 3.834 0.042
2001 94.476 2395.845 114.635 23.795 11.590 1.786 0.909
2002 7560.920 456.443 404.266 41.245 5.290 0.801 0.017
2003 5396.707 4104.542 107.603 24.088 0.000 0.000 0.000
2004 6482.152 2399.712 566.564 20.340 10.338 1.294 0.221
2005 2473.242 3030.902 133.121 79.648 4.494 5.462 0.509
2006 3312.722 2121.951 150.212 6.219 2.007 0.074 0.000
2007 2298.412 1150.968 187.898 73.386 3.354 0.123 0.000
2008 14416.448 704.125 84.869 95.674 31.459 4.145 0.000
2009 9627.376 7323.184 142.831 65.586 20.246 5.023 0.214
2010 4171.341 7153.213 300.278 53.225 27.346 16.245 2.153
2011 12528.280 4410.681 449.948 171.817 39.717 10.334 4.959
2012 21032.804 11923.910 1014.296 100.801 30.171 4.260 0.000
2013 26235.707 4758.523 1539.876 170.857 16.368 7.232 1.090
2014 35801.890 6042.223 721.071 189.971 51.590 4.999 0.061
2015 1524.789 10457.642 303.122 66.519 37.821 15.951 1.571
2016 11812.914 2514.074 497.623 11.528 17.665 25.755 6.078
2017 21105.989 1559.950 380.932 114.241 7.800 4.153 2.843
2018 7183.336 13321.450 272.179 35.096 2.189 0.263 0.000
2019 826.561 8344.350 824.307 52.598 5.557 0.018 0.000
2020 3143.143 2501.133 335.946 146.024 42.186 10.364 0.537
2021 23357.280 1560.840 233.110 71.256 22.308 11.927 1.408
2022 9582.112 4408.346 281.233 12.490 1.273 0.058 0.000
2023 1878.393 1732.112 192.755 43.173 0.706 0.017 0.000
Table 3.12. The Northeast Arctic cod stock's consumption of cod in million individuals

Table 3.13. Northeast Arctic COD. Tuning data

104

FLT15_I: NorBarTrSur_I

1981 2024

1 1 0.085 0.189

3 12

1 1640 2330 4000 3840 480 100 30 NA NA NA

1 2830 2770 2360 1550 1600 140 20 NA NA NA

1 2495 5234 4333 1696 582 321 97 NA NA NA

1 9749 2828 2144 1174 407 40 8 NA NA NA

1 16679 12598 1992 767 334 21 7 NA NA NA

1 80500 14393 6414 830 191 34 4 NA NA NA

1 24038 39115 5435 1570 200 45 3 NA NA NA

1 14803 8049 17331 2048 358 53 3 NA NA NA

1 4636 7586 3779 9019 982 94 10 NA NA NA

1 2835 3487 3459 2056 2723 161 38 NA NA NA

1 4585 3367 2565 2149 1215 1267 61 NA NA NA

1 15826 5771 1782 1283 767 429 272 NA NA NA

1 27389 14013 7248 1583 624 389 223 NA NA NA

1 29392 30704 15333 4572 795 261 148 55 55 13

1 28284 24236 25101 7642 1798 242 107 50 61 19

1 16308 11743 13859 10888 2443 264 37 17 12 16

1 31799 6844 7426 5999 2667 485 64 91 8 NA

1 35510 16694 3167 2615 1752 816 79 52 4 4

1 18848 18075 6139 1271 681 514 101 26 2 6

1 24581 13003 11173 2675 456 184 121 33 10 5

1 18279 19511 8290 3796 945 117 44 19 4 1

1 11836 13756 10895 4579 1440 220 32 18 5 2

1 37670 12631 9393 6688 1750 467 102 17 4 4

1 6388 18462 5346 4324 3059 685 165 28 7 2

1 24888 5506 10297 2238 1636 381 92 30 4 10

1 11649 11538 2832 4342 1372 524 136 24 18 18

1 36113 12773 6851 1365 2360 682 230 41 11 10

1 19437 30059 11190 4024 1734 811 179 36 3 3

1 12628 19670 22023 6069 1790 902 524 51 17 7

1 3681 11425 15480 14450 3956 1124 367 160 58 12

1 8540 5037 12970 13866 10351 1637 436 120 82 39

1 7572 6459 3371 9069 13258 4861 902 226 88 111

1 6884 11409 6318 4043 6454 7638 3352 222 287 84

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

FLT15_II: NorBarTrSur_II

2014 2024

1 1 0.085 0.189

3 12

1 22685 9379 8859 5639 3274 5305 3619 981 101 120

1 14407 22825 14729 11353 7443 2922 5351 1808 338 98

1 9937 13548 18831 11347 7233 2856 1317 1606 677 180

1 17925 6215 8454 9016 3782 2633 818 326 261 451

1 13941 18478 6181 6417 7388 2588 928 587 129 419

1 28157 17915 22190 7965 3296 3831 815 262 54 70

1 23773 16024 13156 11488 4983 2426 2044 453 166 243

1 11150 11935 11231 5428 3798 1357 727 353 125 103

1 5198 8868 8660 6651 4460 3042 570 229 208 255

1 4121 3982 4652 4317 3224 1426 749 158 34 35

1 19871 6331 3621 2996 2822 1615 890 268 37 20

FLT16: NorBarLofAcSur

1985 2024

1 1 0.085 0.26

3 12

1 1530 1416 204 151 157 33 13 10 5 NA

1 4996 1343 684 116 77 31 3 NA 4 NA

1 628 2049 502 174 14 30 7 NA NA NA

1 504 355 578 109 40 3 0 1 NA NA

1 170 344 214 670 166 32 5 2 NA NA

1 148 206 262 269 668 73 6 3 NA NA

1 502 346 293 339 367 500 37 2 2 NA

1 1765 658 215 184 284 254 824 43 17 NA

1 3572 1911 1131 354 255 252 277 442 49 NA

1 3239 3745 2293 961 234 118 103 42 187 29

1 1377 1395 2036 1016 281 47 45 29 26 81

1 994 896 1128 974 462 59 11 4 9 15

1 1586 442 503 459 510 215 23 7 1 8

1 3912 1898 449 415 349 271 51 10 2 1

1 1476 1303 523 139 118 187 99 10 2 1

1 2948 1673 1492 546 146 69 50 13 6 2

1 1774 1606 851 621 191 27 8 6 3 1

1 614 1062 1011 713 366 94 12 8 6 0

1 3067 1168 1271 1461 677 235 38 4 1 2

1 334 852 349 456 480 217 88 24 2 7

1 1250 333 693 341 438 180 75 18 1 3

1 648 538 186 420 176 159 87 23 3 10

1 585 304 308 129 466 151 80 33 9 4

1 1999 2887 1166 789 248 352 55 28 17 7

1 1078 1825 1415 560 415 128 266 36 17 4

1 228 880 1614 1750 618 314 108 125 40 29

1 404 283 674 1595 2727 645 233 68 75 9

1 828 494 344 895 2266 1335 257 104 38 28

1 606 845 724 541 1336 2338 1617 215 111 88

1 2869 1242 1115 777 553 1490 1739 980 146 105

1 1387 2356 1300 1442 964 498 969 686 325 127

1 563 769 1199 664 594 409 356 565 344 286

1 1115 424 444 742 486 484 268 167 146 230

1 1090 1499 540 584 775 456 193 141 61 137

1 2036 1254 1446 639 493 739 273 218 65 111

1 1173 1173 819 943 506 509 495 195 84 80

1 649 591 558 402 369 163 114 143 82 34

1 294 530 570 504 476 345 116 68 53 39

1 287 265 336 346 278 183 135 32 17 15

1 1507 510 299 286 304 265 185 59 11 2

FLT18: RusSweptArea

1982 2024

1 1 0.9 1

3 12

1 1413 1525 721 198 551 174 37 19 15.1 1.5

1 520 642 506 358 179 252 94 NA NA NA

1 1189 700 489 357 154 69 61 17 14.6 7.4

1 1188 1592 1068 365 165 37 8 16 1.5 20.9

1 1622 1532 1493 481 189 42 2 6 NA NA

1 557 3076 900 701 184 60 25 4 0.7 3.3

1 993 938 2879 583 260 47 24 NA NA NA

1 490 978 1062 1454 1167 299 112 47 18.5 11.7

1 167 487 627 972 1538 673 153 49 9.1 1.7

1 1077 484 532 583 685 747 98 14 2.6 NA

1 675 308 239 273 218 175 25 25 4.0 0.1

1 1604 1135 681 416 354 87 3 7 0.6 0.7

1 1363 1309 1019 354 128 49 21 11 5.7 2.2

1 589 1065 1395 849 251 83 19 18 9.5 5.8

1 733 784 1035 773 348 132 19 5 12.0 1.6

1 1342 835 613 602 348 116 32 30 NA NA

1 2028 1363 788 470 259 130 48 5 NA 0.9

1 1587 2072 980 301 123 94 42 4 NA NA

1 1839 1286 1786 773 114 52 23 9 3.9 0.4

1 1224 1557 1290 1061 304 50 14 5 25.4 13.1

1 980 1473 1473 896 600 182 29 8 0.8 0.5

1 1246 1057 1166 1203 535 241 40 9 3.1 1.1

1 329 1576 880 1111 776 279 93 23 3.6 2.5

1 1408 631 1832 744 605 244 88 28 6.4 1.1

1 927 1613 777 1801 662 342 161 43 17.5 7.4

1 2579 1617 1903 846 1525 553 226 86 49.0 18.5

1 2203 3088 1635 1472 830 863 291 115 33.0 19.0

1 974 2317 3687 2016 1175 620 413 205 65.0 41.0

1 334 1070 2505 3715 1817 789 395 299 155.9 75.2

1 882 508 1432 3065 3300 917 439 176 175.5 105.4

1 815 1114 839 2122 3358 1878 432 195 45.7 76.3

1 747 1174 1177 884 2349 3132 1367 306 92.4 98.5

1 1399 1368 1725 1483 1111 1929 1297 383 93.4 55.1

1 657 1583 1742 1932 1610 925 1158 761 241.6 113.6

1 NA NA NA NA NA NA NA NA NA NA

1 1456 884 1063 1952 1231 567 266 120 119.8 103.8

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

1 NA NA NA NA NA NA NA NA NA NA

FLT007: Ecosystem_2018corr

2004 2023

1 1 0.65 0.75

3 12

1 1477 4215 1502 798 402 101 22 5 1.3 2

1 2166 558 1009 280 156 57 12 5 1.2 0.5

1 1861 2056 599 698 176 81 26 6 2.5 0.4

1 5862 1592 791 246 269 60 22 9 1.5 2.4

1 6526 4834 1323 511 128 175 33 9 2.3 3.9

1 2023 2806 2896 1017 319 127 73 26 8.1 5.1

1 568 1770 3972 4249 1427 385 105 68 15.9 6.2

1 1236 1015 2402 3004 1784 323 77 18 13.4 8.7

1 2291 1464 700 1508 1652 845 127 44 15.5 20.8

1 2491 1836 1257 632 1182 1302 538 91 33.2 24.6

1 NA NA NA NA NA NA NA NA NA NA

1 1744 2252 1413 726 486 262 353 266 78.7 27

1 772 937 1216 701 444 272 138 132 54.2 30.2

1 3750 1415 1049 1209 626 280 112 64 44.5 71.7

1 NA NA NA NA NA NA NA NA NA NA

1 4166 2323 2151 766 422 444 161 49 21.9 29.5

1 1395 1356 934 829 308 142 107 31 10.3 14.8

1 847 998 811 457 336 124 47 50 23.8 16.8

1 NA NA NA NA NA NA NA NA NA NA

1 699 401 571 527 450 233 93 22 8.0 8.9

Table 3.14. Parameters settings used in SAM run

# Where a matrix is specified rows corresponds to fleets and columns to ages.

# Same number indicates same parameter used

# Numbers (integers) starts from zero and must be consecutive

#

$minAge

# The minimium age class in the assessment

3

$maxAge

# The maximum age class in the assessment

15

$maxAgePlusGroup

# Is last age group considered a plus group (1 yes, or 0 no).

1 1 1 1 1 1

$keyLogFsta

# Coupling of the fishing mortality states (nomally only first row is used).

0 1 2 3 4 5 6 7 8 9 10 11 11

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

$corFlag

# Correlation of fishing mortality across ages (0 independent, 1 compound symmetry, or 2 AR(1)

0

$keyLogFpar

# Coupling of the survey catchability parameters (nomally first row is not used, as that is covered by fishing mortality).

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

0 1 2 3 4 5 6 7 8 8 -1 -1 -1

9 10 11 12 13 14 15 16 17 17 -1 -1 -1

18 19 20 21 22 23 24 25 26 26 -1 -1 -1

27 28 29 30 31 32 33 34 35 35 -1 -1 -1

36 37 38 39 40 41 42 43 44 44 -1 -1 -1

$keyQpow

# Density dependent catchability power parameters (if any).

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

$keyVarF

# Coupling of process variance parameters for log(F)-process (nomally only first row is used)

0 1 1 1 1 1 1 1 1 1 1 1 1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1

$keyVarLogN

# Coupling of process variance parameters for log(N)-process

0 1 1 1 1 1 1 1 1 1 1 1 1

$keyVarObs

# Coupling of the variance parameters for the observations.

0 1 2 2 2 2 2 2 3 3 4 4 4

5 6 6 6 6 7 7 7 7 7 -1 -1 -1

5 6 6 6 6 7 7 7 7 7 -1 -1 -1

8 8 8 8 8 8 9 9 9 9 -1 -1 -1

10 10 10 10 10 10 11 11 11 11 -1 -1 -1

12 12 12 12 12 12 12 12 12 12 -1 -1 -1

$obsCorStruct

# Covariance structure for each fleet ("ID" independent, "AR" AR(1), or "US" for unstructured). | Possible values are: "ID" "AR" "US"

"ID" "AR" "AR" "AR" "AR" "AR"

$keyCorObs

# Coupling of correlation parameters can only be specified if the AR(1) structure is chosen above.

# NA's indicate where correlation parameters can be specified (-1 where they cannot).

#3-4 4-5 5-6 6-7 7-8 8-9 9-10 10-11 11-12 12-13 13-14 14-15

NA NA NA NA NA NA NA NA NA NA NA NA

0 0 0 0 1 1 2 2 3 -1 -1 -1

0 0 0 0 1 1 2 2 3 -1 -1 -1

4 4 4 5 6 6 6 7 8 -1 -1 -1

9 9 9 9 9 10 10 10 11 -1 -1 -1

12 12 12 13 13 13 14 14 15 -1 -1 -1

$stockRecruitmentModelCode

# Stock recruitment code (0 for plain random walk, 1 for Ricker, and 2 for Beverton-Holt).

0

$noScaledYears

# Number of years where catch scaling is applied.

0

$keyScaledYears

# A vector of the years where catch scaling is applied.

$keyParScaledYA

# A matrix specifying the couplings of scale parameters (nrow = no scaled years, ncols = no ages).

$fbarRange

# lowest and higest age included in Fbar

5 10

$keyBiomassTreat

# To be defined only if a biomass survey is used (0 SSB index, 1 catch index, and 2 FSB index).

-1 -1 -1 -1 -1 -1

$obsLikelihoodFlag

# Option for observational likelihood | Possible values are: "LN" "ALN"

"LN" "LN" "LN" "LN" "LN" "LN"

$fixVarToWeight

# If weight attribute is supplied for observations this option sets the treatment (0 relative weight, 1 fix variance to weight).

0

SAM May 29 15:23:46 2024

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp FBAR5-10
1946 0.003 0.020 0.069 0.137 0.270 0.248 0.379 0.396 0.572 0.563 0.626 0.648 0.648 0.250
1947 0.002 0.021 0.090 0.187 0.387 0.294 0.450 0.446 0.692 0.635 0.689 0.781 0.781 0.309
1948 0.001 0.021 0.095 0.220 0.464 0.346 0.512 0.450 0.713 0.695 0.741 0.922 0.922 0.348
1949 0.002 0.030 0.138 0.301 0.473 0.367 0.459 0.476 0.771 0.752 0.788 1.028 1.028 0.369
1950 0.002 0.043 0.163 0.314 0.436 0.363 0.481 0.538 0.838 0.855 0.816 1.149 1.149 0.382
1951 0.010 0.078 0.231 0.343 0.445 0.392 0.496 0.567 0.781 0.866 0.841 1.197 1.197 0.413
1952 0.014 0.103 0.277 0.430 0.475 0.408 0.523 0.639 0.843 0.920 0.844 1.199 1.199 0.459
1953 0.021 0.112 0.251 0.360 0.402 0.373 0.473 0.612 0.813 0.823 0.799 1.021 1.021 0.412
1954 0.017 0.116 0.268 0.384 0.424 0.357 0.489 0.707 0.831 0.823 0.790 0.929 0.929 0.438
1955 0.015 0.108 0.295 0.494 0.497 0.509 0.565 0.751 0.895 0.866 0.790 0.862 0.862 0.518
1956 0.018 0.122 0.349 0.581 0.559 0.598 0.589 0.740 0.892 0.986 0.824 0.804 0.804 0.570
1957 0.020 0.137 0.291 0.529 0.548 0.588 0.536 0.674 0.880 0.914 0.821 0.719 0.719 0.528
1958 0.036 0.181 0.359 0.543 0.540 0.511 0.508 0.692 0.829 0.879 0.721 0.630 0.630 0.526
1959 0.036 0.203 0.425 0.524 0.526 0.527 0.552 0.721 0.786 0.801 0.708 0.644 0.644 0.546
1960 0.037 0.212 0.406 0.510 0.495 0.546 0.523 0.755 0.854 0.802 0.698 0.711 0.711 0.539
1961 0.039 0.225 0.491 0.576 0.546 0.644 0.696 0.849 0.897 0.863 0.742 0.748 0.748 0.634
1962 0.037 0.224 0.584 0.750 0.633 0.683 0.796 1.009 0.935 0.845 0.775 0.738 0.738 0.743
1963 0.023 0.194 0.584 0.800 0.759 0.773 0.893 1.083 1.080 0.851 0.802 0.735 0.735 0.815
1964 0.018 0.159 0.412 0.554 0.585 0.700 0.934 0.883 0.978 0.802 0.881 0.755 0.755 0.678
1965 0.023 0.143 0.364 0.459 0.472 0.589 0.785 0.798 0.805 0.670 0.891 0.758 0.758 0.578
1966 0.031 0.140 0.286 0.388 0.469 0.600 0.752 0.790 0.713 0.655 0.799 0.675 0.675 0.548
1967 0.029 0.155 0.265 0.329 0.463 0.639 0.828 0.811 0.771 0.665 0.792 0.610 0.610 0.556
1968 0.025 0.176 0.356 0.433 0.495 0.633 0.847 0.832 0.747 0.600 0.799 0.631 0.631 0.599
1969 0.026 0.182 0.404 0.482 0.630 0.811 1.006 0.922 0.835 0.631 0.757 0.620 0.620 0.709
1970 0.034 0.164 0.376 0.468 0.589 0.824 0.996 0.933 0.796 0.577 0.713 0.631 0.631 0.698
1971 0.029 0.155 0.306 0.355 0.505 0.810 0.981 0.920 0.801 0.604 0.691 0.617 0.617 0.646
1972 0.049 0.183 0.333 0.402 0.427 0.719 1.058 1.013 0.895 0.652 0.745 0.636 0.636 0.659
1973 0.139 0.226 0.386 0.439 0.459 0.698 0.921 0.861 0.845 0.673 0.757 0.621 0.621 0.627
1974 0.165 0.296 0.481 0.520 0.509 0.622 0.667 0.870 0.910 0.714 0.892 0.629 0.629 0.611
1975 0.113 0.277 0.507 0.622 0.641 0.729 0.721 0.728 0.937 0.778 0.952 0.599 0.599 0.658
1976 0.146 0.307 0.530 0.615 0.687 0.852 0.874 0.672 0.796 0.821 0.942 0.676 0.676 0.705
1977 0.131 0.335 0.634 0.678 0.707 0.901 1.128 0.857 0.894 0.811 1.052 0.810 0.810 0.818
1978 0.114 0.253 0.571 0.737 0.767 0.893 1.219 0.946 1.303 1.008 1.198 0.916 0.916 0.856
1979 0.055 0.202 0.410 0.622 0.711 0.804 1.094 0.992 1.295 1.095 1.124 1.009 1.009 0.772
1980 0.037 0.158 0.345 0.628 0.723 0.809 0.998 1.057 1.230 0.997 1.161 0.907 0.907 0.760
1981 0.031 0.141 0.283 0.581 0.784 0.973 1.159 0.976 1.071 0.937 1.044 0.836 0.836 0.793
1982 0.041 0.158 0.286 0.641 0.841 0.919 1.132 0.827 0.823 0.925 0.866 0.823 0.823 0.774
1983 0.027 0.164 0.300 0.549 0.903 1.080 1.068 0.848 0.714 0.726 0.802 0.866 0.866 0.791
1984 0.023 0.156 0.331 0.582 1.063 1.167 1.167 0.899 0.747 0.702 0.671 0.892 0.892 0.868
1985 0.039 0.162 0.390 0.667 0.945 1.149 0.930 0.779 0.758 0.655 0.594 0.950 0.950 0.810
1986 0.031 0.171 0.456 0.766 0.907 1.144 0.926 1.042 0.887 0.852 0.587 1.072 1.072 0.874
1987 0.039 0.155 0.470 0.828 1.013 1.117 0.893 1.249 0.976 1.002 0.636 1.255 1.255 0.928
1988 0.035 0.128 0.335 0.637 0.937 1.018 1.027 1.354 0.960 0.916 0.730 1.214 1.214 0.885
1989 0.031 0.107 0.252 0.457 0.644 0.835 0.818 1.001 0.755 0.710 0.697 1.430 1.430 0.668
1990 0.019 0.093 0.178 0.308 0.416 0.500 0.550 0.590 0.654 0.611 0.626 1.311 1.311 0.424
1991 0.020 0.101 0.212 0.343 0.435 0.471 0.505 0.483 0.496 0.593 0.571 1.264 1.264 0.408
1992 0.025 0.114 0.279 0.429 0.528 0.556 0.565 0.562 0.517 0.701 0.541 1.254 1.254 0.487
1993 0.014 0.110 0.315 0.522 0.618 0.658 0.694 0.715 0.690 0.828 0.677 1.226 1.226 0.587
1994 0.012 0.110 0.322 0.596 0.924 0.916 0.875 0.855 0.915 0.935 0.776 1.213 1.213 0.748
1995 0.014 0.117 0.323 0.605 0.932 0.895 0.950 0.924 1.010 0.963 0.854 1.125 1.125 0.772
1996 0.021 0.134 0.353 0.617 0.883 0.939 0.853 1.102 0.961 0.960 0.922 1.032 1.032 0.791
1997 0.022 0.169 0.447 0.684 0.895 1.202 1.128 1.271 1.029 1.018 0.921 0.936 0.936 0.938
1998 0.027 0.182 0.474 0.712 0.852 1.161 1.136 1.317 1.052 0.897 0.830 0.787 0.787 0.942
1999 0.015 0.150 0.464 0.682 0.869 1.101 1.224 1.299 0.956 0.883 0.693 0.697 0.697 0.940
2000 0.009 0.115 0.364 0.587 0.831 1.019 1.109 1.185 0.848 0.902 0.555 0.680 0.680 0.849
2001 0.009 0.096 0.294 0.532 0.755 0.926 0.890 1.051 0.736 0.770 0.444 0.716 0.716 0.741
2002 0.008 0.091 0.276 0.520 0.775 0.887 0.840 0.794 0.628 0.731 0.391 0.679 0.679 0.682
2003 0.010 0.089 0.284 0.473 0.729 0.812 0.776 0.748 0.572 0.633 0.364 0.647 0.647 0.637
2004 0.010 0.090 0.293 0.499 0.770 0.857 0.897 0.952 0.642 0.676 0.345 0.544 0.544 0.711
2005 0.011 0.102 0.318 0.516 0.742 0.869 0.956 0.897 0.677 0.747 0.348 0.491 0.491 0.716
2006 0.016 0.102 0.281 0.441 0.621 0.742 0.811 0.796 0.678 0.773 0.377 0.580 0.580 0.615
2007 0.018 0.091 0.241 0.348 0.451 0.545 0.566 0.542 0.646 0.751 0.389 0.507 0.507 0.449
2008 0.011 0.069 0.162 0.276 0.371 0.450 0.491 0.448 0.593 0.702 0.406 0.422 0.422 0.366
2009 0.010 0.058 0.132 0.221 0.320 0.357 0.464 0.378 0.541 0.757 0.449 0.365 0.365 0.312
2010 0.009 0.049 0.106 0.178 0.284 0.381 0.399 0.429 0.611 0.623 0.516 0.340 0.340 0.296
2011 0.006 0.048 0.105 0.161 0.257 0.356 0.454 0.545 0.577 0.527 0.504 0.282 0.282 0.313
2012 0.006 0.047 0.118 0.161 0.243 0.329 0.426 0.495 0.564 0.490 0.480 0.275 0.275 0.295
2013 0.007 0.048 0.122 0.189 0.271 0.366 0.454 0.530 0.577 0.500 0.466 0.306 0.306 0.322
2014 0.008 0.054 0.142 0.228 0.315 0.396 0.428 0.529 0.613 0.548 0.487 0.333 0.333 0.340
2015 0.010 0.056 0.150 0.269 0.327 0.398 0.371 0.517 0.761 0.624 0.523 0.368 0.368 0.339
2016 0.009 0.053 0.149 0.258 0.344 0.422 0.414 0.568 0.844 0.690 0.584 0.420 0.420 0.359
2017 0.010 0.058 0.154 0.274 0.361 0.483 0.481 0.605 0.920 0.776 0.653 0.464 0.464 0.393
2018 0.012 0.062 0.161 0.271 0.374 0.468 0.529 0.661 0.895 0.865 0.726 0.491 0.491 0.411
2019 0.009 0.066 0.163 0.261 0.385 0.511 0.537 0.717 0.863 0.882 0.744 0.487 0.487 0.429
2020 0.010 0.069 0.176 0.290 0.420 0.541 0.632 0.813 0.930 0.914 0.785 0.480 0.480 0.479
2021 0.013 0.077 0.214 0.358 0.492 0.586 0.756 0.959 0.961 1.047 0.840 0.482 0.482 0.561
2022 0.030 0.098 0.253 0.400 0.491 0.593 0.759 0.998 1.113 1.222 0.899 0.428 0.428 0.582
2023 0.047 0.111 0.250 0.380 0.467 0.608 0.757 1.070 1.125 1.275 0.874 0.386 0.386 0.589
Mean 2021-2023 0.030 0.095 0.239 0.379 0.483 0.596 0.757 1.009 1.066 1.181 0.871 0.432    
Table 3.15. Northeast Arctic cod. Fishing mortality

SAM Wed May 29 15:23:46 2024

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp TOTAL
1946 1130233 675382 371790 171846 78290 84492 227481 80771 36055 30512 18876 8117 1995 2915838
1947 591326 677104 497853 298121 133484 53539 56348 132793 45806 17357 14614 8429 4506 2531281
1948 451445 339052 462772 346442 206762 75339 34926 29934 69636 18419 7644 6064 4961 2053397
1949 632170 292487 264623 354130 229166 103977 42971 16913 15969 28223 7444 2996 3599 1994667
1950 1020622 398481 231051 187664 208610 114842 57067 22806 8657 6118 11057 2743 1937 2271655
1951 2411969 774897 311756 177887 114891 111007 65972 28226 10910 2984 2094 4025 1197 4017815
1952 2316011 1130311 460653 190153 115837 61780 61037 33217 13121 4216 1025 730 1279 4389369
1953 2400790 1111650 638922 245352 91156 60037 33175 28535 13943 4525 1348 356 480 4630268
1954 832049 1380660 708239 387849 137883 49039 34631 17302 12915 5054 1646 496 245 3568009
1955 384305 551413 920908 434179 223694 74977 30566 18096 6941 4691 1835 616 240 2652462
1956 752521 246808 395197 550374 211780 112681 35638 14597 7021 2283 1654 690 298 2331542
1957 1430781 408080 151546 209100 238296 94860 49100 15408 5683 2355 668 595 362 2606833
1958 929342 715310 250138 95854 100423 109358 40982 23275 6428 1912 779 230 380 2274410
1959 1310632 486619 428363 141352 47129 47674 54762 20184 9516 2300 640 318 268 2549758
1960 1473685 625097 253662 208007 69473 23057 22998 25334 8046 3641 862 257 261 2714379
1961 1541584 705041 347642 134399 102625 36293 11320 12024 9808 2789 1371 360 209 2905465
1962 1249285 808614 390760 168465 64340 49249 15627 4559 4397 3278 943 540 221 2760276
1963 909205 702558 455313 165603 62671 28803 20757 5755 1329 1465 1159 352 300 2355270
1964 473764 412416 370078 179363 54823 21598 10559 6925 1519 351 514 432 257 1532599
1965 880243 251325 259326 200200 83134 23795 8204 3221 2387 451 123 172 266 1712846
1966 1844090 567763 167141 144903 106293 44082 10959 3046 1180 894 192 40 163 2890745
1967 1310906 1270917 397018 106400 80587 55322 20421 4379 1136 491 388 72 82 3248120
1968 182428 1012822 889592 279539 72348 42283 23745 7295 1619 422 206 145 70 2512514
1969 110961 137641 702719 495089 154408 41021 19619 8554 2638 651 194 75 95 1673664
1970 207795 86264 88130 368846 238187 64448 15100 5827 2766 915 281 75 75 1078709
1971 406859 146547 58079 45523 174417 103303 22561 4581 1862 1030 428 113 65 965367
1972 1052424 314048 105485 37358 27304 81802 36135 6969 1528 696 465 181 80 1664473
1973 1711725 752849 212662 63977 21252 15868 32375 9744 1982 500 297 180 114 2823524
1974 566788 1197630 515780 123095 35423 11342 6628 10170 3411 701 207 117 130 2471423
1975 607022 366386 669223 258194 61541 18466 5371 3069 3313 1120 283 68 109 1994166
1976 600127 444290 227174 311819 108450 26025 7500 2269 1297 1004 418 89 82 1730545
1977 371249 412546 272840 112792 137091 43303 8835 2625 1046 522 348 136 73 1363405
1978 625497 247351 218075 112306 47537 55754 14036 2250 896 383 206 99 77 1324467
1979 204057 448135 155349 90795 40819 17643 18406 3268 697 187 115 51 57 979579
1980 131441 156405 301972 87124 39225 16113 6538 5038 981 154 48 31 31 745103
1981 144740 103354 113159 174665 38014 15649 6030 2070 1396 231 47 12 20 599387
1982 182264 125716 83686 63945 81819 15217 4644 1520 640 380 74 13 11 559928
1983 140731 136554 92251 51912 28867 28244 4899 1236 567 229 119 26 9 485643
1984 441833 114911 83614 54196 24638 10635 7704 1353 438 241 94 42 12 739712
1985 528650 384971 82056 45025 24333 6372 2799 1913 438 165 100 41 18 1076880
1986 1361054 402065 243536 46408 19154 7440 1602 1006 751 176 73 46 19 2083332
1987 355144 997896 255127 109493 16420 6841 1792 573 287 255 61 35 19 1743942
1988 331994 237875 592196 118968 32991 5002 1734 627 134 90 73 27 12 1321724
1989 158526 228126 147935 305205 54954 9880 1479 486 126 40 29 27 10 906821
1990 132617 129135 130038 95741 142094 22824 2913 534 137 48 16 11 7 656113
1991 299280 126888 98052 86360 61750 81977 11416 1376 248 55 22 7 4 767434
1992 714113 271783 101122 69263 48817 33853 46269 6025 799 132 25 10 3 1292213
1993 986989 503101 240654 72783 36783 23574 15460 23776 2997 429 57 13 3 1906620
1994 749130 732747 398885 146928 39011 15934 10622 6347 9677 1301 158 24 4 2110769
1995 536724 491918 523726 232006 63182 12460 5307 3422 2194 3172 416 60 7 1874593
1996 400745 302670 335880 283629 104290 19826 4291 1582 1110 615 1001 144 18 1455801
1997 772850 207462 203965 182951 120264 37543 6295 1646 436 337 192 328 47 1534316
1998 1043689 471407 126205 97679 71065 41752 9494 1624 356 130 95 61 119 1863675
1999 622788 597860 262948 62284 32933 26114 11603 2516 343 98 45 33 68 1619632
2000 745072 408625 375066 122272 24448 11238 7407 2640 578 108 33 19 41 1697546
2001 590310 533117 290991 184957 52005 8982 3401 1929 662 198 35 15 25 1666626
2002 374816 429975 368283 186265 82224 20322 3088 1174 561 248 77 18 16 1467067
2003 758231 287940 288182 235679 84483 30267 6729 1123 438 260 95 44 14 1693486
2004 242815 577192 214954 183065 116213 33870 10909 2612 467 219 123 54 25 1382518
2005 692086 186024 407216 136528 94257 39126 11189 3909 812 201 94 76 37 1571555
2006 538831 468194 141276 232695 68654 33902 13517 3337 1298 354 78 57 63 1502255
2007 1255333 439298 305131 89157 119919 30244 12551 4455 1165 544 137 43 57 2258033
2008 1015424 975699 337003 168673 53003 62620 15383 5635 1915 524 206 77 49 2636211
2009 591345 795862 744298 249723 89506 33524 28863 7765 3004 915 218 111 68 2545203
2010 206731 461588 654037 551757 167652 54247 18913 14606 4550 1567 338 117 103 2136206
2011 365681 183969 382561 537521 388162 86085 31244 10587 8000 1981 723 156 128 1996795
2012 510602 279003 148245 317904 405897 220336 44905 15967 5184 3745 963 366 173 1953290
2013 469476 373162 227977 129922 242135 264468 135519 23139 8382 2397 1895 489 349 1879308
2014 849995 356579 299576 183518 102243 169767 146198 65255 11113 3763 1173 974 512 2190667
2015 449183 569220 300617 215625 132543 68126 97324 74461 30171 5100 1749 586 879 1945583
2016 283071 312961 418760 217056 136472 76691 43897 53386 34522 11444 2233 842 834 1592168
2017 760664 236388 227647 288518 146702 79104 41303 24244 23053 12569 4702 1019 892 1846805
2018 486272 528617 187164 160041 186504 86193 40178 21784 10862 7353 4652 1975 960 1722555
2019 622063 361216 384899 149354 91769 107377 46062 19572 9154 3703 2444 1786 1408 1800808
2020 529571 419747 276166 250300 100971 53890 54483 22319 8196 3236 1262 936 1521 1722598
2021 368238 337201 311798 194154 147400 53501 26777 23392 8684 2705 1082 471 1184 1476589
2022 182355 242396 241576 197622 121961 75017 23881 10445 7018 2647 780 384 784 1106866
2023 231028 138420 160897 141401 111521 62875 33940 9225 3171 1805 615 254 595 895748
2024 577881 167206 101584 91913 80106 55649 29258 12898 2596 817 406 208 463 1120984
Table 3.16. Northeast Arctic COD Stock number-at-age (Thous)

SAM Wed May 29 15:23:46 2024

Year_age 3 4 5 6 7 8 9 10 11 12 13 14 +gp
1946 0.490 0.304 0.226 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1947 0.544 0.325 0.231 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1948 0.493 0.305 0.226 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1949 0.434 0.282 0.221 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1950 0.316 0.236 0.210 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1951 0.724 0.394 0.247 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1952 0.715 0.391 0.246 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1953 0.537 0.322 0.230 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1954 0.388 0.264 0.217 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1955 0.406 0.271 0.218 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1956 0.590 0.343 0.235 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1957 0.725 0.395 0.247 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1958 0.562 0.332 0.233 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1959 0.713 0.390 0.246 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1960 0.704 0.387 0.245 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1961 0.609 0.350 0.237 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1962 0.520 0.315 0.229 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1963 0.788 0.419 0.253 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1964 0.603 0.348 0.236 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1965 0.416 0.275 0.219 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1966 0.353 0.251 0.214 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1967 0.271 0.219 0.206 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1968 0.224 0.201 0.202 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1969 0.206 0.200 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1970 0.293 0.227 0.208 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1971 0.256 0.213 0.205 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1972 0.323 0.239 0.211 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1973 0.217 0.200 0.201 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1974 0.217 0.200 0.201 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1975 0.232 0.204 0.203 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1976 0.224 0.200 0.202 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1977 0.249 0.210 0.204 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1978 0.234 0.205 0.203 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1979 0.208 0.200 0.201 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1980 0.200 0.200 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1981 0.200 0.200 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1982 0.200 0.200 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1983 0.203 0.200 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1984 0.201 0.200 0.219 0.210 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1985 0.204 0.224 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1986 0.270 0.216 0.252 0.231 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1987 0.256 0.236 0.219 0.271 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1988 0.222 0.211 0.242 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1989 0.200 0.230 0.200 0.233 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1990 0.200 0.200 0.207 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1991 0.200 0.200 0.200 0.208 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1992 0.207 0.200 0.200 0.203 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1993 0.241 0.200 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1994 0.348 0.261 0.215 0.220 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1995 0.530 0.314 0.227 0.202 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1996 0.524 0.327 0.243 0.217 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1997 0.421 0.269 0.241 0.226 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1998 0.428 0.273 0.218 0.267 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1999 0.264 0.233 0.237 0.223 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2000 0.248 0.212 0.243 0.226 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2001 0.236 0.220 0.200 0.231 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2002 0.278 0.212 0.200 0.224 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2003 0.239 0.200 0.200 0.212 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2004 0.250 0.215 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2005 0.297 0.212 0.215 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2006 0.203 0.228 0.200 0.207 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2007 0.247 0.200 0.247 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2008 0.258 0.213 0.200 0.233 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2009 0.274 0.209 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2010 0.297 0.234 0.207 0.201 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2011 0.424 0.310 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2012 0.378 0.298 0.200 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2013 0.392 0.234 0.204 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2014 0.369 0.292 0.212 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2015 0.355 0.259 0.233 0.206 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2016 0.216 0.253 0.261 0.216 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2017 0.390 0.217 0.214 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2018 0.268 0.212 0.200 0.218 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2019 0.293 0.211 0.213 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2020 0.440 0.229 0.200 0.210 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2021 0.430 0.266 0.230 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2022 0.265 0.223 0.215 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2023 0.332 0.202 0.222 0.200 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
Table 3.17. Northeast Arctic COD. Natural mortality used in final run

SAM Wed May 29 15:23:46 2024

Year RECRUITS TOTALBIO TOTSPBIO LANDINGS YIELD/SSB FBAR 5-10
1946 1130233 3935180 952985 706000 0.741 0.250
1947 591326 3386475 902641 882017 0.977 0.309
1948 451445 3356715 784654 774295 0.987 0.348
1949 632170 2896946 594887 800122 1.345 0.369
1950 1020622 2795419 535869 731982 1.366 0.382
1951 2411969 3692064 495077 827180 1.671 0.413
1952 2316011 4110119 488765 876795 1.794 0.459
1953 2400790 4090773 412395 695546 1.687 0.412
1954 832049 4197512 408300 826021 2.023 0.438
1955 384305 3536136 327878 1147841 3.501 0.518
1956 752521 3318710 281174 1343068 4.777 0.570
1957 1430781 2814511 212263 792557 3.734 0.528
1958 929342 2357116 205421 769313 3.745 0.526
1959 1310632 2723988 434410 744607 1.714 0.546
1960 1473685 2351587 384829 622042 1.616 0.539
1961 1541584 2346756 386500 783221 2.026 0.634
1962 1249285 2172259 315322 909266 2.884 0.743
1963 909205 2008725 215906 776337 3.596 0.815
1964 473764 1511142 200247 437695 2.186 0.678
1965 880243 1459212 108045 444930 4.118 0.578
1966 1844090 2222881 121054 483711 3.996 0.548
1967 1310906 2735822 128761 572605 4.447 0.556
1968 182428 3282513 222997 1074084 4.817 0.599
1969 110961 2818930 148877 1197226 8.042 0.709
1970 207795 2163000 242004 933246 3.856 0.698
1971 406859 1661055 330344 689048 2.086 0.646
1972 1052424 1615131 353349 565254 1.600 0.659
1973 1711725 2280108 334153 792685 2.372 0.627
1974 566788 2176277 159026 1102433 6.932 0.611
1975 607022 2089076 133536 829377 6.211 0.658
1976 600127 1939165 167187 867463 5.189 0.705
1977 371249 1928027 335946 905301 2.695 0.818
1978 625497 1585938 227795 698715 3.067 0.856
1979 204057 1137294 180383 440538 2.442 0.772
1980 131441 853590 108436 380434 3.508 0.760
1981 144740 966706 161279 399038 2.474 0.793
1982 182264 751168 321325 363730 1.132 0.774
1983 140731 746879 311431 289992 0.931 0.791
1984 441833 830482 243534 277651 1.140 0.868
1985 528650 1000841 195541 307920 1.575 0.810
1986 1361054 1397885 163901 430113 2.624 0.874
1987 355144 1233243 114908 523071 4.552 0.928
1988 331994 1006657 191457 434939 2.272 0.885
1989 158526 956535 237314 332481 1.401 0.668
1990 132617 913000 303355 212000 0.699 0.424
1991 299280 1347064 635806 319158 0.502 0.408
1992 714113 1687381 801872 513234 0.640 0.487
1993 986989 2197863 698491 581611 0.833 0.587
1994 749130 2112773 568725 771086 1.356 0.748
1995 536724 1849957 532870 739999 1.389 0.772
1996 400745 1697388 551369 732228 1.328 0.791
1997 772850 1537459 546260 762403 1.396 0.938
1998 1043689 1350918 386165 592624 1.535 0.942
1999 622788 1199169 280597 484910 1.728 0.940
2000 745072 1223157 255138 414868 1.626 0.849
2001 590310 1477707 383239 426471 1.113 0.741
2002 374816 1594411 520404 535045 1.028 0.682
2003 758231 1682627 570813 551990 0.967 0.637
2004 242815 1568423 664368 606445 0.913 0.711
2005 692086 1516694 576671 641276 1.112 0.716
2006 538831 1539716 579579 537642 0.928 0.615
2007 1255333 1865207 644011 486883 0.756 0.449
2008 1015424 2553066 712366 464171 0.652 0.366
2009 591345 3091745 1001388 523430 0.523 0.312
2010 206731 3328980 1229135 609983 0.496 0.296
2011 365681 3552449 1782709 719830 0.404 0.313
2012 510602 3625094 1997429 727663 0.364 0.295
2013 469476 3695151 2211080 966209 0.437 0.322
2014 849995 3416507 2089429 986449 0.472 0.340
2015 449183 3243403 1676734 864384 0.516 0.339
2016 283071 2822461 1335743 849422 0.636 0.359
2017 760664 2754263 1363003 868276 0.637 0.393
2018 486272 2543558 1226591 778627 0.635 0.411
2019 622063 2421489 1161583 692609 0.596 0.429
2020 529571 2131600 923962 692903 0.750 0.479
2021 368238 1920246 792317 767284 0.968 0.561
2022 182355 1691782 674790 719211 1.066 0.582
2023 231028 1500905 709740 582552 0.821 0.589
Arith. Mean 718954 2193515 566280 673138 2.000 0.596
Table 3.18. Northeast Arctic COD. Summary table
Table 3.19a. Northeast Arctic COD. Input for the short term prediction
 
                 
2024                
Age N M Mat PF PM SWT Sel CWT
3 587000 0.342 0 0 0 0.246 0.030 0.571
4 167206 0.230 0.003 0 0 0.706 0.095 0.987
5 101584 0.222 0.009 0 0 1.075 0.239 1.573
6 91913 0.200 0.091 0 0 1.803 0.379 2.296
7 80106 0.2 0.345 0 0 2.667 0.483 3.240
8 55649 0.2 0.709 0 0 3.995 0.596 4.541
9 29258 0.2 0.946 0 0 5.950 0.757 5.931
10 12898 0.2 0.982 0 0 7.011 1.009 7.100
11 2596 0.2 1 0 0 9.436 1.066 8.466
12 817 0.2 1 0 0 11.714 1.181 10.249
13 406 0.2 1 0 0 13.477 0.871 11.400
14 208 0.2 1 0 0 15.683 0.432 12.920
15 463 0.2 1 0 0 17.707 0.432 14.168
                 
2025                
Age N M Mat PF PM SWT Sel CWT
3 450000 0.342 0.007 0 0 0.263 0.030 0.563
4   0.230 0.008 0 0 0.611 0.095 0.920
5   0.222 0.013 0 0 1.194 0.239 1.505
6   0.200 0.081 0 0 1.816 0.379 2.252
7   0.2 0.400 0 0 2.883 0.483 3.190
8   0.2 0.719 0 0 3.998 0.596 4.471
9   0.2 0.877 0 0 5.838 0.757 6.002
10   0.2 0.963 0 0 7.754 1.009 7.237
11   0.2 1.000 0 0 8.873 1.066 8.424
12   0.2 1 0 0 11.324 1.181 9.938
13   0.2 1 0 0 13.823 0.871 11.662
14   0.2 1 0 0 15.672 0.432 12.801
15   0.2 1 0 0 17.936 0.432 14.296
                 
2026                
Age N M Mat PF PM SWT Sel CWT
3 375000 0.342 0.007 0 0 0.268 0.030 0.563
4   0.230 0.008 0 0 0.628 0.095 0.920
5   0.222 0.013 0 0 1.099 0.239 1.505
6   0.200 0.081 0 0 1.935 0.379 2.252
7   0.2 0.400 0 0 2.896 0.483 3.190
8   0.2 0.719 0 0 4.214 0.596 4.471
9   0.2 0.877 0 0 5.841 0.757 6.002
10   0.2 0.963 0 0 7.642 1.009 7.237
11   0.2 1.000 0 0 9.616 1.066 8.424
12   0.2 1 0 0 10.761 1.181 9.938
13   0.2 1 0 0 13.433 0.871 11.662
14   0.2 1 0 0 16.018 0.432 12.801
15   0.2 1 0 0 17.924 0.432 14.296
Table 3.19b. Northeast Arctic COD. Input for the short term prediction using RCT3
 
Yearclass recruitment BST1 BST2 BST3 BSA1 BSA2 BSA3
1982 529 NA NA NA NA NA NA
1983 1361 NA NA NA NA NA NA
1984 355 NA NA NA NA NA NA
1985 332 NA NA NA NA NA NA
1986 159 NA NA NA NA NA NA
1987 133 NA NA NA NA NA NA
1988 299 NA NA NA NA NA NA
1989 714 NA NA NA NA NA NA
1990 987 NA NA NA NA NA NA
1991 749 NA NA 294 NA NA 324
1992 537 NA 557 283 NA 624 138
1993 401 1044 541 163 903 212 99
1994 773 5356 792 318 2175 272 159
1995 1044 5899 1423 355 1826 565 391
1996 623 5044 496 188 1698 475 148
1997 745 2491 350 246 2524 232 295
1998 590 473 242 183 365 263 177
1999 375 129 78 118 153 51 61
2000 758 713 419 377 364 209 307
2001 243 34 66 64 19 53 33
2002 692 3022 243 249 1505 117 125
2003 539 323 217 116 161 139 65
2004 1255 853 289 361 500 158 58
2005 1015 674 370 194 411 47 200
2006 591 595 102 126 85 94 108
2007 207 69 36 37 51 25 23
2008 366 389 95 85 205 44 40
2009 511 1028 226 76 620 91 83
2010 469 617 100 69 266 40 61
2011 850 703 143 227 496 89 287
2012 449 436 191 144 313 211 139
2013 283 1246 343 99 1759 211 56
2014 761 1642 306 179 1904 202 112
2015 486 312 129 139 241 73 109
2016 622 645 501 282 439 280 204
2017 530 2714 559 238 2058 362 117
2018 368 1791 274 112 1437 158 65
2019 182 165 35 52 93 29 29
2020 231 81 66 41 46 43 29
2021 NA 668 163 199 525 103 151
2022 NA 305 307 NA 244 201 NA
2023 NA 378 NA NA 328 NA NA
Table 3.19c. Results of RCT3 prediction of NEA cod recruitment (in million individuals of age 3).      
prediction      
  WAP logWAP int.se        
yearclass:2018     507.6     6.23     0.24        
yearclass:2019     242.8     5.49     0.25        
yearclass:2020     196.7     5.28     0.24        
yearclass:2021     587.3     6.38     0.20        
yearclass:2022     449.7     6.11     0.32        
Table 3.19 d. Results of various recruitment models (million individuals age 3) . Values used in the predictions are shown in green. RCT3+Eco: Including the recruitment indices for ages 0,1, 2 for the ecosystem survey (Table A14). Iner: averages over 4 years or all years. M2: A model based on storm activity, length of thermal front zones and storm activity in the year the year class was spawned
NEA cod recruitment at age 3      
Year 2024 2025 2026 2027+
Yearclass 2021 2022 2023  
RCT3+Eco 530 401 340  
RCT3 587 450 375  
M2 252 444    
SAM 578      
Iner4 (2021-2024)   340 340 340
InerAll 1946-2024 717 717 717 717
     
 
Table 3.20. Northeast Arctic COD. Management option table.
 
2024        
Biomass (t) SSB (t) FMult FBar Landings (t)  
1288843 552231 1 0.589 477185  
           
           
2025       2026  
Biomass SSB FBar Landings Biomass SSB
1216106 450572 0.00 0 1653519 664770
    0.05 43268 1603233 627886
    0.10 84365 1555582 593280
    0.15 123424 1510399 560798
    0.20 160572 1467531 530298
    0.25 195923 1426835 501648
    0.30 229586 1388176 474726
    0.35 261662 1351431 449417
    0.40 292245 1316483 425617
    0.45 321423 1283225 403227
    0.50 349278 1251555 382156
    0.55 375887 1221379 362319
    0.60 401320 1192610 343636
    0.65 425645 1165166 326034
    0.70 448925 1138969 309445
    0.75 471217 1113950 293804
    0.80 492578 1090039 279052
    0.85 513057 1067176 265134
    0.90 532704 1045301 251998
    0.95 551562 1024359 239595
Table 3.21. Northeast Arctic COD. Detailed prediction output assuming Fsq in 2024 and HCR in 2025.
 
Fbar age range: 5-10 Year: 2024 F multiplier: 1 Fbar: 0.5890
Age F CatchNos Yield StockNos Biomass SSNos SSB
3 0.031 15003 8567 587000 144402 0 0
4 0.097 13827 13647 167206 118047 502 354
5 0.244 19806 31154 101584 109203 914 983
6 0.387 26892 61745 91913 165719 8364 15080
7 0.493 28485 92292 80106 213643 27637 73707
8 0.608 23215 105420 55649 222318 39455 157623
9 0.773 14453 85720 29258 174085 27678 164685
10 1.030 7642 54261 12898 90428 12666 88800
11 1.088 1588 13443 2596 24496 2596 24496
12 1.205 529 5420 817 9570 817 9570
13 0.889 220 2506 406 5472 406 5472
14 0.441 68 875 208 3262 208 3262
15+ 0.441 151 2135 463 8198 463 8198
Total NA 151878 477185 1130104 1288843 121706 552231
    Thous Tonnes Thous Tonnes Thous Tonnes
Fbar age range: 5-10 Year: 2025 F multiplier: 0.73 Fbar: 0.4329
               
Age F CatchNos Yield StockNos Biomass SSNos SSB
3 0.023 8485 4777 450000 118350 3150 828
4 0.071 24879 22889 404402 247090 3235 1977
5 0.179 17803 26794 120576 143968 1567 1872
6 0.284 14364 32348 63751 115772 5164 9378
7 0.362 14164 45182 51115 147364 20446 58946
8 0.447 13186 58954 40063 160171 28805 115163
9 0.568 9829 58994 24800 144783 21750 126974
10 0.757 5389 39002 11063 85785 10654 82611
11 0.800 1906 16059 3771 33462 3771 33462
12 0.886 387 3846 716 8110 716 8110
13 0.653 88 1027 200 2770 200 2770
14 0.324 34 441 137 2142 137 2142
15+ 0.324 89 1274 354 6341 354 6341
Total NA 110604 311587 1170948 1216106 99949 450572
    Thous Tonnes Thous Tonnes Thous Tonnes
               
Table 3.22. Northeast Arctic COD. Assessments results by means of TISVPA
 
Year B(3+) SSB R(3) F(5-10)
1984 828204 255437 420073 0.783
1985 990841 200745 558031 0.638
1986 1362387 180925 1082847 0.787
1987 1209661 131818 287852 1.029
1988 984363 217416 215685 0.978
1989 917455 241556 173082 0.467
1990 985687 330844 227234 0.311
1991 1571223 725212 405026 0.226
1992 1946335 940452 702429 0.405
1993 2403035 830676 908137 0.610
1994 2186120 645238 706368 0.809
1995 1846433 557946 480284 0.752
1996 1751926 606083 385573 0.722
1997 1634823 652796 640375 1.049
1998 1297640 426387 789087 1.067
1999 1105679 288440 481116 0.916
2000 1086894 247768 563234 0.642
2001 1335214 373529 480654 0.516
2002 1471385 504831 419248 0.507
2003 1571230 542927 667532 0.506
2004 1514211 637185 272724 0.598
2005 1478463 575655 527240 0.601
2006 1501672 594175 526419 0.626
2007 1793000 631970 1251152 0.490
2008 2513266 684648 1223669 0.350
2009 3149887 974513 823929 0.335
2010 3412030 1160876 472059 0.367
2011 3588390 1637235 587136 0.320
2012 3695258 1874908 666213 0.288
2013 3813565 2082410 783764 0.296
2014 3534082 1981719 971160 0.329
2015 3338684 1574729 484153 0.363
2016 2958860 1275153 379497 0.346
2017 2968773 1409319 749813 0.433
2018 2703258 1281947 545770 0.497
2019 2489928 1181640 520694 0.442
2020 2174101 937587 409689 0.475
2021 1936444 822577 289634 0.583
2022 1588998 674366 211523 0.755
2023 1390816 614038 731123.8 0.733
2024 1102102 369741    
         
Table 3.23. NEA cod TISVPA estimates of abundance at age (thousands)
 
  3 4 5 6 7 8 9 10 11 12 13 14 15
1984 420073 134704 77103 45256 24066 12585 9010 1429 635 404 186 33 22
1985 558031 336985 97147 45038 19552 6726 3327 2360 459 332 158 102 25
1986 1082847 436091 231422 55654 20716 6821 2177 1293 1089 225 231 96 39
1987 287852 803454 291941 114569 22468 7047 2091 739 402 377 70 147 50
1988 215685 212676 522295 145135 35711 6004 2090 727 156 132 107 36 13
1989 173082 165132 150336 284687 60441 9610 1617 597 164 34 43 49 71
1990 227234 137787 116909 94901 154504 25631 3437 644 252 93 16 32 13
1991 405026 184362 106089 82742 61115 97286 14515 2021 367 153 61 9 17
1992 702429 327695 142131 73535 50879 34433 58370 8518 1265 250 111 47 5
1993 908137 554960 239624 93509 40505 25696 16310 30853 4433 743 132 83 4
1994 706368 705077 413714 142612 47877 18834 11206 6757 13097 1825 281 60 13
1995 480284 493057 489970 244928 62734 13617 5966 3309 1951 4015 549 130 3
1996 385573 278494 323854 288502 115852 22982 4674 1970 1009 539 1478 264 3
1997 640375 222531 177710 184961 140512 46709 8423 1838 661 344 198 582 2
1998 789087 409404 139752 84135 73648 47040 11986 1952 411 135 66 54 129
1999 481116 491368 242328 68613 30793 25555 11900 3327 463 121 33 21 79
2000 563234 362448 321996 113450 25818 10928 6820 2380 978 150 49 3 49
2001 480654 434405 263417 171978 49714 9661 3583 1856 641 469 58 30 93
2002 419248 374949 317477 162463 81664 20962 3467 1483 616 245 281 40 27
2003 667532 314983 276746 195080 75829 31248 7615 1315 738 304 103 200 5
2004 272724 519057 239085 172914 98463 32141 12780 3524 608 445 160 65 33
2005 527240 210262 383194 151621 84689 37945 11281 4598 1316 234 240 96 28
2006 526419 386490 153085 216620 73634 32738 13396 3958 1560 543 99 166 573
2007 1251152 422167 268498 95255 106331 32308 12702 4522 1538 538 232 57 154
2008 1223669 958184 308889 157368 54210 54091 15981 6368 2223 758 196 148 74
2009 823929 937693 726565 215117 93325 31454 26513 8343 3520 1163 413 124 118
2010 472059 622627 724617 515386 134069 55985 17897 13804 4925 2043 251 271 194
2011 587136 348931 475260 531257 342078 75699 29832 10053 7245 1756 936 72 0
2012 666213 382657 247957 354963 364337 208657 42357 14562 4275 3309 935 447 153
2013 783764 453984 274208 186485 249884 232502 124338 23572 7453 1980 1753 523 853
2014 971160 526785 345665 201641 131676 155219 126838 61991 11523 3604 1034 1069 799
2015 484153 666740 375559 243750 131672 80740 79786 63448 30336 5942 1864 593 1123
2016 379497 335985 485923 258307 151058 76548 45388 43053 30257 11626 2654 1116 1380
2017 749813 303761 249753 326766 166020 89361 41536 24361 18829 12135 5325 1462 1044
2018 545770 502757 231970 173795 202198 91326 45155 20069 11213 5985 4621 2755 889
2019 520694 412170 379839 163418 106168 109738 45802 20944 8026 3635 1936 1975 1128
2020 409689 384768 313418 261129 105218 60804 52961 21550 9106 2899 1332 986 884
2021 289634 260448 284445 218244 159740 57712 29981 22280 7787 2635 1084 609 918
2022 211523 185707 182193 175425 121659 75463 26584 11489 6705 2292 736 363 237
2023 731124 157534 127654 98874 80072 52202 29801 10557 3695 1911 592 170 285
2024   515216 114716 74808 47246 30617 17256 9711 3319 1220 675 308 88
Table 3.24. NEA cod TISVPA estimates of fishing mortality coefficients
 
  3 4 5 6 7 8 9 10 11 12 13 14 15 F(5-10)
1984 0.022 0.134 0.321 0.548 0.958 0.966 0.961 0.944 0.314 1.003 0.520 0.520 0.520 0.783
1985 0.021 0.122 0.308 0.455 0.622 0.895 0.769 0.781 0.709 0.249 0.427 0.427 0.427 0.638
1986 0.021 0.152 0.385 0.623 0.750 0.879 1.120 0.966 0.898 0.790 0.498 0.498 0.498 0.787
1987 0.026 0.152 0.501 0.825 1.118 1.106 1.107 1.520 1.140 1.023 0.588 0.588 0.588 1.029
1988 0.024 0.160 0.407 0.884 1.174 1.285 1.047 1.073 1.299 0.975 0.557 0.557 0.557 0.978
1989 0.014 0.089 0.237 0.358 0.573 0.595 0.551 0.486 0.462 0.514 0.285 0.285 0.285 0.467
1990 0.008 0.058 0.157 0.257 0.310 0.412 0.376 0.357 0.299 0.280 0.188 0.188 0.188 0.311
1991 0.007 0.038 0.111 0.184 0.245 0.252 0.294 0.274 0.245 0.203 0.137 0.137 0.137 0.226
1992 0.010 0.068 0.165 0.309 0.436 0.507 0.460 0.556 0.478 0.414 0.236 0.236 0.236 0.405
1993 0.015 0.086 0.257 0.399 0.642 0.798 0.818 0.744 0.856 0.701 0.345 0.345 0.345 0.610
1994 0.017 0.112 0.282 0.552 0.710 1.023 1.110 1.173 0.953 1.086 0.435 0.435 0.435 0.809
1995 0.016 0.106 0.299 0.473 0.768 0.825 1.017 1.131 1.080 0.863 0.428 0.428 0.428 0.752
1996 0.020 0.102 0.288 0.519 0.668 0.931 0.850 1.078 1.087 1.011 0.434 0.434 0.434 0.722
1997 0.026 0.171 0.367 0.690 1.094 1.204 1.539 1.397 1.718 1.668 0.601 0.601 0.601 1.049
1998 0.029 0.172 0.493 0.650 1.020 1.370 1.232 1.638 1.312 1.533 0.603 0.603 0.603 1.067
1999 0.023 0.178 0.449 0.819 0.837 1.086 1.196 1.113 1.283 1.036 0.544 0.544 0.544 0.916
2000 0.018 0.111 0.366 0.556 0.785 0.657 0.709 0.781 0.681 0.741 0.384 0.384 0.384 0.642
2001 0.014 0.095 0.240 0.496 0.596 0.694 0.511 0.558 0.566 0.490 0.304 0.304 0.304 0.516
2002 0.012 0.082 0.239 0.376 0.642 0.645 0.650 0.490 0.498 0.494 0.285 0.285 0.285 0.507
2003 0.013 0.075 0.207 0.380 0.486 0.710 0.617 0.634 0.446 0.444 0.272 0.272 0.272 0.506
2004 0.014 0.096 0.226 0.403 0.621 0.678 0.883 0.773 0.734 0.498 0.317 0.317 0.317 0.598
2005 0.016 0.092 0.262 0.385 0.565 0.748 0.705 0.943 0.756 0.701 0.324 0.324 0.324 0.601
2006 0.016 0.107 0.266 0.490 0.585 0.738 0.855 0.821 1.021 0.792 0.356 0.356 0.356 0.626
2007 0.013 0.087 0.237 0.363 0.538 0.537 0.584 0.681 0.607 0.717 0.289 0.289 0.289 0.490
2008 0.009 0.065 0.174 0.292 0.360 0.447 0.394 0.433 0.464 0.410 0.217 0.217 0.217 0.350
2009 0.008 0.054 0.161 0.270 0.372 0.391 0.429 0.384 0.394 0.414 0.207 0.207 0.207 0.335
2010 0.008 0.055 0.150 0.283 0.392 0.466 0.431 0.482 0.402 0.404 0.223 0.223 0.223 0.367
2011 0.007 0.044 0.128 0.221 0.342 0.405 0.423 0.398 0.415 0.342 0.202 0.202 0.000 0.320
2012 0.007 0.044 0.106 0.194 0.273 0.365 0.382 0.405 0.357 0.365 0.190 0.190 0.190 0.288
2013 0.008 0.051 0.122 0.186 0.281 0.343 0.409 0.435 0.432 0.373 0.208 0.208 0.208 0.296
2014 0.009 0.056 0.152 0.231 0.289 0.380 0.414 0.505 0.503 0.488 0.245 0.245 0.245 0.329
2015 0.009 0.064 0.167 0.289 0.362 0.391 0.458 0.510 0.584 0.568 0.288 0.288 0.288 0.363
2016 0.008 0.057 0.163 0.268 0.382 0.409 0.389 0.464 0.481 0.538 0.283 0.283 0.283 0.346
2017 0.011 0.062 0.183 0.336 0.459 0.569 0.535 0.517 0.579 0.589 0.359 0.359 0.359 0.433
2018 0.012 0.077 0.181 0.343 0.525 0.616 0.673 0.642 0.574 0.631 0.411 0.411 0.411 0.497
2019 0.013 0.073 0.188 0.275 0.427 0.558 0.571 0.634 0.562 0.494 0.379 0.379 0.379 0.442
2020 0.015 0.088 0.211 0.346 0.414 0.559 0.646 0.673 0.694 0.600 0.427 0.427 0.427 0.475
2021 0.019 0.117 0.285 0.433 0.591 0.600 0.724 0.867 0.833 0.841 0.534 0.534 0.534 0.583
2022 0.025 0.150 0.397 0.624 0.782 0.920 0.797 1.009 1.130 1.049 0.691 0.691 0.691 0.755
2023 0.018 0.115 0.312 0.538 0.761 0.907 0.921 0.957 0.908 0.842 0.453 0.453 0.453 0.733

 

Standard Graphs
Figure 3.1. Standard plots for Northeast Arctic cod (ICES subareas 1 and 2)

 

Residual plot
Figure 3.2a. Standardized one-observation-ahead residuals for log-catches and log-indices (Thygesen et al . 2017) in the final SAM run
Model retros
Figure 3.2b. SAM model retrospectives

 

 

 

Retrospective
Figure 3.2c. Historical Retrospective
Catch
Figure 3.2d. NEA cod final SAM run fit. Total catch in weight. Modelled catches from the final run and point wise 95% confidence intervals are shown by line and shaded area. The yearly observed total catch weight (crosses) are calculated as Catch(y)=sum(W(a,y)*C(a,y)).

 

 

selectivity
Figure 3.2e. NEA cod. Catchability of different fleets used for final SAM run fit.

 

 

cannibalism vs capelin
Figure 3.3. NEA cod cannibalism mortality vs. capelin abundance.

 

F

 

 

CPUE
Figure 3. 5. Cod CPUE in Norwegian trawl catches where cod is the main species (double and single trawl, Nedreaas WD02). Connected line shows mean, line inside the box shows the median, and the box shows 25 and 75 percentiles.

 

 

residual plot
Figure 3.6a. Residuals of the TISVPA data approximation (yellow circles are positive residuals, white – negative).

 

 

Likliehood profile
Figure 3.6b. Profiles of the components of the TISVPA objective function.

 

 

Retrospective
Figure 3.6c. TISVPA retrospective runs.

 

 

Stock history
Figure 3.7. Model comparison. TSB (total stock biomass, age 3+), SSB recruitment and F in SAM and TISVPA.

 

 

Stock trends compared with previous
Figure 3.8. Medium term prediction of NEA cod stock dynamics and TAC according to HCR based on assessments of current year and previous year.

 

  Sub-area 1 Division 2b Division 2a Total  
Year Norway 2 Russia 3 Norway 2 Spain 4 Russia 3 Norway 2 Russia 3 Norway Single trawl Norway double trawl
1981 1.42 0.41 (0.96) - 0.07 1.02 0.35 1.21  
1982 1.30 0.35 - 0.86 0.26 1.01 0.34 1.09  
1983 1.58 0.31 (1.31) 0.92 0.36 1.05 0.38 1.11  
1984 1.40 0.45 1.20 0.78 0.35 0.73 0.27 0.96  
1985 1.86 1.04 1.51 1.37 0.50 0.90 0.39 1.29  
1986 1.97 1.00 2.39 1.73 0.84 1.36 1.14 1.70  
1987 1.77 0.97 2.00 1.82 1.05 1.73 0.67 1.77  
1988 1.58 0.66 1.61 (1.36) 0.54 0.97 0.55 1.03  
1989 1.49 0.71 0.41 2.70 0.45 0.78 0.43 0.76  
1990 1.35 0.70 0.39 2.69 0.80 0.38 0.60 0.49  
1991 1.38 0.67 0.29 4.96 0.76 0.50 0.90 0.44  
1992 2.19 0.79 3.06 2.47 0.23 0.98 0.65 1.29  
1993 2.33 0.85 2.98 3.38 1.00 1.74 1.03 1.87  
1994 2.50 1.01 2.82 1.44 1.14 1.27 0.86 1.59  
1995 1.57 0.59 2.73 1.65 1.10 1.00 1.01 1.92  
1996   0.74   1.11 0.85   0.99 1.81  
1997   0.61     0.57   0.74 1.36  
1998   0.37     0.29   0.40 0.83  
1999   0.29     0.34   0.39 0.74  
2000   0.34     0.37   0.53 0.92  
2001   0.46     0.46   0.69 1.21  
2002   0.58     0.66   0.57 1.35  
2003   0.70     1.22   0.73 1.67  
2004   0.48     0.78   0.84 1.67  
2005   0.45     0.62   0.81 1.23  
2006   0.49     0.54   0.84 0.88  
2007   0.71     0.51   0.88 1.16  
2008   0.93     0.79   1.21    
2009   1.33     1.16   0.83    
2010   1.47     1.18   1.16    
2011   1.77     1.69   2.46 4.87 5 3.43
2012   2.25     1.44   2.11 6.97 5 4.21
2013   2.30     1.46   2.60 4.96 5 4.21
2014   2.07     1.54   2.38 5.75 5 4.47
2015   1.06     1.38   1.93 4.54 5 2.62
2016   1.15     1.06   1.39 3.64 5 2.90
2017   1.00     1.00   1.05 3.01 5 2.53
2018   1.06     1.40   1.31 3.20 5 2.57
2019   1.01     0.89   1.16 3.02 5 2.44
2020   0.78     0.68   1.42 3.38 5 2.56
2021   0.70     0.89   0.86 2.51 5 1.93
2022   0.60     0.72   0.49 2.04 5 1.87
2023 1   0.52     0.94   0.50 1.66 5 1.78
Table A1. North-East Arctic COD. Catch per unit effort.

1 Preliminary figures.

2 Norwegian data - t per 1,000 tonnage*hours fishing.

3 USSR prior to 1991. Data are t per hour fishing.

4 Spanish data - t per hour fishing.

5 2011-2023 Norwegian data on t per hour fishing are not comparable to data from previous years

        Age                              
Year   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15+ 10+ Total 12+
1981   8.00 82.00 40.00 63.00 106.00 103.00 16.00 3.00 1.00             1.00 423.0  
1982   4.00 5.00 49.00 43.00 40.00 26.00 28.00 2.00 +             0.00 197.0  
1983   60.49 2.78 5.34 14.27 17.37 11.13 5.58 2.98 0.45             0.06 120.5  
1984   745.44 146.11 39.13 13.59 11.26 7.44 2.81 0.19 0.02             0.00 966.0  
1985   69.06 446.29 153.04 141.59 19.66 7.58 3.32 0.22 0.09             0.04 840.9  
1986   353.63 243.90 499.61 134.27 65.90 8.28 2.15 0.37 0.06             0.02 1308.2  
1987   1.62 34.07 62.80 204.93 41.41 10.40 1.22 0.19 0.66             0.00 357.3  
1988   1.98 26.25 50.42 35.53 56.20 6.48 1.35 0.15 0.01             0.00 178.4  
1989   7.53 7.98 17.00 34.39 21.38 53.82 6.88 0.97 0.10             0.05 150.1  
1990   81.13 24.92 14.82 20.63 26.08 24.30 39.78 2.37 0.06             0.03 234.1  
1991   181.04 219.51 50.23 34.64 29.33 28.87 16.89 17.33 0.86             0.03 578.7  
1992   241.38 562.13 176.48 65.79 18.84 13.23 7.58 4.50 2.78             0.21 1092.9  
1993   1074.04 494.68 357.24 191.05 108.24 20.84 8.12 4.98 2.25             2.51 2264.0  
1994   902.64 624.38 323.88 374.47 205.53 70.24 13 3.59 2.6 0.71 1.15 0.11 0.13 NA 0   2522.4 0.24
1995   2175.25 212.29 137.74 139.49 197.08 66.38 15.73 2.43 0.91 0.32 0.48 0.17 NA NA 0   2948.3 0.17
1996   1826.33 271.71 99.4 89.62 111.34 82.96 22.17 2.22 0.3 0.1 0.07 0.05 0.1 0.01 0   2506.4 0.16
1997   1698.49 565.31 158.57 44.22 49.91 40.91 23.48 5.02 0.84 0.27 0.09 NA NA 0.01 0   2587.1 0.01
1998   2523.56 475.15 391.16 189.79 44.87 41.22 27.85 16.06 1.81 0.5 0.04 NA NA NA 0.06   3712.1 0.06
1999   364.84 231.51 147.62 130.29 52.03 11.93 6.94 4.13 1.47 0.24 0.01 0.03 0.01 NA 0   951.1 0.04
2000   153.42 262.81 294.83 167.25 145.55 50.75 11.33 4.7 2.75 0.85 0.18 0.11 0.03 NA 0   1094.6 0.14
2001   363.55 51.45 177.44 160.63 80.8 44.47 11.1 1.73 0.46 0.19 0.08 NA NA NA 0.01   891.9 0.01
2002   19.22 209.1 61.37 106.23 98.78 52.18 20.07 2.9 0.32 0.52 0.09 NA NA NA 0.02   570.8 0.02
2003   1505 52.53 306.71 116.8 124.62 116.52 37.69 10.05 1.93 0.31 0.07 NA 0.08 0.07 0   2272.4 0.15
2004   161.2 117.19 33.41 85.21 32.96 28.03 18.14 5.33 1.16 0.31 0.08 0 0.01 NA 0   483.0 0.01
2005   499.71 138.66 125.03 33.28 65.94 21.21 15.02 4.95 1.01 0.25 0.05 0.07 0.05 0.03 0   905.3 0.15
2006   411.21 157.95 64.77 53.82 18.35 29.52 9.5 4.9 1.28 0.2 0.13 0.3 NA NA 0   751.9 0.3
2007   85.13 47.09 58.49 30.4 29.35 9.04 18.07 6.41 2.67 0.53 0.24 0.07 NA NA 0   287.5 0.07
2008   50.87 94.2 199.85 288.71 116.17 72.91 21.82 14.43 2.8 0.81 0.04 0.01 0.01 NA 0   862.6 0.02
2009   204.9 25.46 107.83 182.54 138.08 41.48 13.87 4.69 4.32 0.5 0.14 0.02 0.01 NA 0   723.8 0.03
2010   620.25 43.56 22.82 87.98 160.16 154.39 44.56 14.57 3.9 2.89 0.94 0.11 0.12 0.09 0.01   1156.4 0.33
2011   266 91 40.36 28.32 65.2 106.97 101.8 19.76 6.11 1.7 0.92 0.25 0.15 0.09 0.02   728.7 0.51
2012   496.49 40.23 82.79 49.38 33.77 72.53 132.31 65.59 8.37 4.39 1.21 0.66 0.47 0.04 0.1   988.3 1.27
2013   313.11 89.17 60.55 84.49 72.18 47.75 98.41 130.54 55.32 5.41 4.02 1.3 0.73 0.2 0.07   963.3 2.3
2014   1758.58 211.04 286.89 124.18 111.14 74.47 39.41 89.89 61.31 22.64 2.56 1.31 0.16 0.05 0.19   2783.8 1.71
2015   1903.54 211.41 138.71 235.58 128.8 140.36 80.55 35.07 53.8 24.38 7.91 0.8 0.13 0.05 0.01   2961.1 0.99
2016   240.8 201.89 56.29 76.91 119.38 64.84 50.17 25.8 13.49 17.83 7.35 2.15 0.72 0.22 0.1   877.9 3.19
2017   439.4 73.3 111.54 42.35 44.25 65.3 35.75 24.31 11.97 4 2.88 3.15 0.67 0.19 0.11   859.2 4.12
2018   2057.6 280.29 109.03 149.94 53.4 54.93 66.09 34.35 10.78 6.27 1.73 2.25 1.5 0.15 0.23   2828.5 4.13
2019   1437.21 362.38 203.63 125.42 144.06 60.98 34.99 37.86 9.64 3.47 0.55 0.32 0.18 0.28 0.24   2421.2 1.02
2020   92.68 157.92 117.32 117.32 81.36 90.6 42.35 26.57 21.41 6.23 1.75 0.67 0.66 0.51 0.89   758.2 2.73
2021   45.92 28.51 64.86 59.08 55.48 38.54 30.80 12.41 6.32 4.67 2.17 0.29 0.18 0 0.21   349.4 0.68
2022   524.71 43.42 29.42 52.98 56.69 47.05 42.94 27.77 7.85 2.44 1.51 0.94 0.18 0 0.28   838.2 1.40
2023   244.43 103.24 28.66 26.54 33.54 33.83 23.81 12.62 7.08 1.58 0.33 0.11 0.04 0.00 0.08   515.9 0.23
2024   328.44 200.98 150.72 50.97 29.34 27.31 28.25 18.83 11.29 3.82 0.43 0.12 0.02 0.05 0.01   850.6 0.20
Table A2. North-east Arctic COD. Abundance indices (millions) from the Norwegian acoustic survey in the Barents Sea in January-March. New TS and rock-hopper gear (1981-1988 back-calculated from bobbins gear). Corrected for length-dependent effective spread of trawl. Data from 1994 onwards corrected for three northern areas and the method of filling in gaps (WD 1, WKBarFar 2021).
        Age                              
Year   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15+ 10+ Total 12+
1981   4.60 34.30 16.40 23.30 40.00 38.40 4.80 1.00 0.30             0.00 163.1  
1982   0.80 2.90 28.30 27.70 23.60 15.50 16.00 1.40 0.20             0.00 116.4  
1983   152.90 13.40 24.95 52.34 43.33 16.96 5.82 3.21 0.97             0.05 313.9  
1984   2755.04 379.11 97.49 28.28 21.44 11.74 4.07 0.40 0.08             0.08 3297.7  
1985   49.49 660.04 166.79 125.98 19.92 7.67 3.34 0.21 0.07             0.05 1033.6  
1986   665.79 399.61 805.00 143.93 64.14 8.30 1.91 0.34 0.04             0.03 2089.1  
1987   30.72 444.98 240.38 391.15 54.35 15.70 2.00 0.45 0.03             0.00 1179.8  
1988   3.21 72.83 148.03 80.49 173.31 20.48 3.58 0.53 0.03             0.00 502.5  
1989   8.24 15.62 46.36 75.86 37.79 90.19 9.82 0.94 0.10             0.07 285.0  
1990   207.17 56.72 28.35 34.87 34.59 20.56 27.23 1.61 0.38             0.03 411.5  
1991   460.45 220.14 45.85 33.67 25.65 21.49 12.15 12.67 0.61             0.02 832.7  
1992   126.56 570.92 158.26 57.71 17.82 12.83 7.67 4.29 2.72             0.22 959.0  
1993   534.48 420.40 273.89 140.13 72.48 15.83 6.24 3.89 2.23             2.36 1471.9  
1994   1043.78 556.68 293.92 307.04 153.33 45.72 7.95 2.61 1.48 0.55 0.55 0.08 0.05 NA 0   2413.7 0.13
1995   5356.43 541.25 282.84 242.36 251.01 76.42 17.98 2.42 1.07 0.5 0.61 0.19 NA NA 0   6773.1 0.19
1996   5899.23 791.62 163.08 117.43 138.59 108.88 24.43 2.64 0.37 0.17 0.12 0.07 0.07 0.02 0   7246.7 0.16
1997   5044.09 1422.92 317.99 68.44 74.26 59.99 26.67 4.85 0.64 0.91 0.08 NA NA NA 0   7020.8 0.00
1998   2490.54 496.48 355.1 166.94 31.67 26.15 17.52 8.16 0.79 0.52 0.04 NA NA NA 0.04   3594.0 0.04
1999   473.04 350.21 188.48 180.75 61.39 12.71 6.81 5.14 1.01 0.26 0.02 0.04 0.02 NA 0   1279.9 0.06
2000   128.57 242.33 245.81 130.03 111.73 26.75 4.56 1.84 1.21 0.33 0.1 0.03 0.02 NA 0   893.3 0.05
2001   712.77 78.03 182.79 195.11 82.9 37.96 9.45 1.17 0.44 0.19 0.04 NA NA NA 0.01   1300.9 0.01
2002   34.11 418.73 118.36 137.56 108.95 45.79 14.4 2.2 0.32 0.18 0.05 NA NA NA 0.02   880.7 0.02
2003   3022.23 65.78 376.7 126.31 93.93 66.88 17.5 4.67 1.02 0.17 0.04 NA 0.02 0.02 0   3775.3 0.04
2004   322.87 242.94 63.88 184.62 53.46 43.24 30.59 6.85 1.65 0.28 0.07 0.01 0.01 NA 0   950.5 0.02
2005   853.43 216.67 248.88 55.06 102.97 22.38 16.36 3.81 0.92 0.3 0.04 0.02 0.04 0.04 0   1520.9 0.10
2006   674.21 289.39 116.49 115.38 28.32 43.42 13.72 5.24 1.36 0.24 0.18 0.18 NA NA 0   1288.1 0.18
2007   594.69 369.74 361.13 127.73 68.51 13.65 23.6 6.82 2.3 0.41 0.11 0.1 NA NA 0   1568.8 0.10
2008   68.83 101.96 194.37 300.59 111.9 40.24 17.34 8.11 1.79 0.36 0.03 0.02 0.01 NA 0   845.6 0.03
2009   389.48 35.59 126.28 196.7 220.23 60.69 17.9 9.02 5.24 0.51 0.17 0.03 0.04 NA 0   1061.9 0.07
2010   1027.59 95.14 36.81 114.25 154.80 144.50 39.56 11.24 3.67 1.60 0.58 0.04 0.02 0.04 0.02   1629.9 0.12
2011   617.18 225.81 85.40 50.37 129.70 138.66 103.51 16.37 4.36 1.20 0.82 0.19 0.14 0.04 0.02   1373.8 0.39
2012   702.97 100.30 75.72 64.59 33.71 90.69 132.58 48.61 9.02 2.26 0.88 0.55 0.44 0.07 0.05   1262.4 1.11
2013   435.72 142.96 68.84 114.09 63.18 40.43 64.54 76.38 33.52 2.22 2.87 0.40 0.35 0.06 0.03   1045.6 0.84
2014   1245.71 191.48 226.85 93.79 88.59 56.39 32.74 53.05 36.19 9.81 1.01 0.95 0.15 0.02 0.08   2036.8 1.20
2015   1642.00 342.76 144.07 228.25 147.29 113.53 74.43 29.22 53.51 18.08 3.38 0.75 0.12 0.07 0.04   2797.5 0.98
2016   312.16 305.57 99.37 135.48 188.31 113.47 72.33 28.56 13.17 16.06 6.77 0.97 0.52 0.17 0.14   1293.1 1.80
2017   644.51 128.92 179.25 62.15 84.54 90.16 37.82 26.33 8.18 3.26 2.61 3.70 0.58 0.17 0.06   1272.2 4.51
2018   2714.35 500.69 139.41 184.78 61.81 64.17 73.88 25.88 9.28 5.87 1.29 2.46 1.23 0.13 0.37   3785.6 4.19
2019   1790.57 559.44 281.57 179.15 221.90 79.65 32.96 38.31 8.15 2.62 0.54 0.24 0.16 0.18 0.12   3195.6 0.70
2020   164.75 273.82 237.73 160.24 131.56 114.88 49.83 24.26 20.44 4.53 1.66 0.93 0.51 0.26 0.73   1186.1 2.43
2021   80.88 34.87 111.50 119.35 112.31 54.28 37.98 13.57 7.27 3.53 1.25 0.42 0.25 0.04 0.32   577.8 1.03
2022   667.82 65.64 51.98 88.68 86.60 66.51 44.60 30.42 5.70 2.29 2.08 1.49 0.16 0.00 0.90   1114.9 2.55
2023   305.40 163.06 41.21 39.82 46.52 43.17 32.24 14.26 7.49 1.58 0.34 0.14 0.06 0.00 0.14   695.4 0.35
2024   377.90 307.04 198.71 63.31 36.21 29.96 28.22 16.15 8.90 2.68 0.37 0.10 0.02 0.01 0.07   1069.65 0.20
Table A3. North-East Arctic COD. Abundance indices (millions) from the Norwegian bottom trawl survey in the Barents Sea in January-March. Rock-hopper gear (1981-1988 back-calculated from bobbins gear). Corrected for length-dependent effective spread of trawl. Data from 1994 and onwards corrected - WD 1, WKBarFar 2021
Year 5 6 7 8 9 10 11 12+ Sum
1985 0.68 7.45 12.36 3.11 1.15 1.01 0.45   26.21
1986 2.49 3.30 5.54 2.71 0.16   0.40 0.08 14.68
1987 8.77 7.04 0.23 2.83 0.04   0.03 0.03 18.97
1988 1.57 4.43 2.56 0.05 0.01 0.05     8.67
1989 0.04 13.20 9.73 2.20 0.38 0.12   0.06 25.73
1990 0.13 2.60 27.02 4.85 0.49 0.32     35.41
1991 0.00 5.00 19.83 32.67 2.75 0.19 0.17   60.61
1992 2.74 5.23 20.80 20.87 79.60 4.17 1.61 0.22 135.24
1993 4.87 14.58 17.35 20.22 25.44 41.95 4.74 0.71 129.86
1994 23.78 25.85 10.36 8.21 7.68 3.49 17.53 2.61 99.51
1995 6.49 35.24 12.34 2.27 3.60 2.56 2.15 7.96 72.61
1996 1.41 14.43 24.00 3.65 0.79 0.25 0.80 1.30 46.63
1997 0.40 4.95 27.56 16.50 1.50 0.42   0.75 52.08
1998 0.05 0.30 7.06 11.05 3.24 0.51 0.18 0.02 22.41
1999 0.25 1.92 4.84 14.58 8.42 0.75 0.19 0.10 31.05
2000 3.61 3.85 3.25 2.15 2.23 0.45 0.39 0.05 15.98
2001 4.33 17.61 8.03 0.96 0.33 0.36 0.26 0.09 31.97
2002 2.30 19.11 16.50 6.49 0.83 0.31 0.47 0.01 46.02
2003 2.49 29.56 30.01 13.46 1.90 0.11 0.04 0.02 77.59
2004 1.96 17.52 29.82 16.34 7.67 2.04 0.15 0.68 76.18
2005 3.33 12.93 28.75 13.06 6.51 1.55 0.06 0.16 66.35
2006 0.20 12.50 8.11 10.98 7.42 2.12 0.16 0.66 42.14
2007 1.46 3.88 28.52 8.69 5.35 2.80 0.68 0.36 51.72
2008 0.45 5.96 2.95 20.72 2.70 2.02 1.66 0.71 37.17
2009 3.42 14.48 27.64 8.10 22.31 3.07 1.56 0.37 80.95
2010 0.96 20.06 16.98 16.84 6.89 9.61 3.05 2.60 76.96
2011 2.01 51.73 170.09 44.72 17.16 5.12 6.54 0.40 297.76
2012 0.46 12.56 91.58 67.75 17.30 5.98 2.59 1.53 199.76
2013 0.22 5.89 33.69 101.76 106.39 16.08 7.05 6.48 277.56
2014 0.25 2.82 15.49 58.75 112.10 75.33 12.07 8.82 285.62
2015 0.87 1.40 15.42 14.73 42.98 44.20 24.62 11.75 155.97
2016 0.24 1.46 9.05 14.53 22.06 38.65 27.06 25.45 138.51
2017 0.17 7.51 12.84 21.94 14.79 12.70 11.67 18.84 100.46
2018 0.61 3.28 11.11 11.21 8.44 7.82 4.42 9.60 56.50
2019 0.25 2.35 13.34 36.00 17.68 18.35 5.96 9.93 103.87
2020 0.58 3.17 7.75 24.37 28.05 13.28 6.66 5.29 89.15
2021 0.34 1.68 6.13 3.90 5.04 9.68 5.99 2.77 35.53
2022 0.31 3.34 4.58 6.70 3.77 4.39 3.75 2.53 29.37
2023 0.08 0.72 4.01 5.73 6.45 1.66 1.40 1.28 21.34
2024 0.55 1.31 2.10 7.63 7.23 2.12 0.68 0.00 21.62
Table A4. North East Arctic COD. Abundance at age (millions) from the Norwegian acoustic survey on the spawning grounds off Lofoten in March-April.
Year 1 2 3 4 5 6 7 8 9 10 11 12 13 14
1981 17.0 26.1 35.5 44.7 52.0 61.3 69.6 77.9            
1982 14.8 25.8 37.6 46.3 54.7 63.1 70.8 82.9            
1983 12.8 27.6 34.8 45.9 54.5 62.7 73.1 78.6            
1984 14.2 28.4 35.8 48.6 56.6 66.2 74.1 79.7            
1985 16.5 23.7 40.3 48.7 61.3 71.1 81.2 85.7            
1986 11.9 21.6 34.4 49.9 59.8 69.4 80.3 93.8            
1987 13.9 21.0 31.8 41.3 56.3 66.3 77.6 87.9            
1988 15.3 23.3 29.7 38.7 47.6 56.8 71.7 79.4            
1989 12.5 25.4 34.7 39.9 46.8 56.2 67.0 83.3            
1990 14.4 27.9 39.4 47.1 53.8 60.6 68.2 79.2            
1991 13.6 27.2 41.6 51.7 59.5 67.1 72.3 77.6            
1992 13.2 23.9 41.3 49.9 60.2 68.4 76.1 82.8            
1993 11.3 20.3 35.9 50.8 59.0 68.2 76.8 85.8            
1994 11.3 17.9 30.2 44.6 55.2 65.7 73.9 78.9 87.4 97.2 97.6 104.7 122.4  
1995 12.2 18.1 29.0 42.2 53.9 63.9 75.4 80.4 85.9 99.1 90.1 109.0    
1996 12.1 18.8 28.8 40.5 49.4 60.9 71.8 85.1 92.4 94.9 96.1 104.2 103.9 121.0
1997 10.8 16.9 29.7 41.0 50.6 59.4 69.6 81.2 92.3 80.4 103.2      
1998 10.5 17.8 30.8 40.9 50.9 58.5 67.7 76.7 87.2 103.0 111.4   105.9  
1999 12.0 18.4 29.0 40.0 50.4 59.4 70.4 78.4 88.5 87.6 117.0 62.0 108.0  
2000 12.8 20.7 28.4 39.7 51.5 61.4 70.4 76.3 84.9 84.3 100.0 116.2 90.0  
2001 11.6 22.6 33.0 41.2 52.2 63.3 70.4 78.3 86.0 95.7 104.7      
2002 12.0 19.6 28.9 43.6 52.1 61.9 71.4 79.5 91.2 89.7 103.7      
2003 11.4 18.1 29.1 39.7 53.4 61.7 70.6 80.8 89.1 90.1 105.4   104.3 110.5
2004 10.6 18.4 31.7 40.6 51.7 61.6 68.6 79.7 90.9 90.4 92.2 116.0 112.0  
2005 11.2 18.3 29.5 43.4 51.1 60.4 71.0 79.6 89.0 96.4 109.3 113.7 129.6 107.0
2006 12.0 19.4 30.9 42.1 53.8 60.3 66.7 76.7 84.9 98.9 95.4 84.9    
2007 13.2 20.7 29.6 41.1 52.8 62.5 70.4 78.2 87.5 92.7 101.8 121.6 110.0  
2008 12.1 22.3 33.0 43.2 51.8 64.0 69.9 81.3 88.7 95.3 108.9 103.0 102.0  
2009 11.2 21.1 32.1 42.6 53.2 61.9 76.6 81.8 89.5 97.8 99.5 94.2 110.0  
2010 11.2 18.4 31.4 42.7 52.4 60.7 70.5 80.4 88.8 96.3 102.2 99.8 100.8 126.0
2011 11.9 19.5 29.4 41.9 51.0 60.7 68.1 78.3 86.1 95.4 102.2 110.4 114.3 116.9
2012 10.6 18.4 29.7 41.0 52.4 58.1 66.5 75.6 86.0 91.8 105.9 114.0 119.0 115.5
2013 11.2 19.3 31.1 41.1 51.7 62.0 69.7 76.5 81.2 95.3 93.7 110.7 110.8 145.0
2014 9.7 17.1 29.5 40.5 52.0 59.6 70.2 76.8 81.8 87.1 97.4 98.9 107.8 91.1
2015 10.5 15.9 30.0 40.3 51.1 60.2 68.8 77.5 81.2 88.7 94.0 101.9 127.5 121.1
2016 12.2 18.3 27.7 40.6 49.8 60.5 68.3 76.6 85.5 86.5 90.5 94.1 112.0 122.5
2017 12.3 22.2 31.2 42.5 51.2 60.5 69.6 75.5 85.2 90.9 96.0 92.6 108.6 108.7
2018 11.2 19.1 32.7 42.4 51.2 61.6 69.0 77.5 83.4 87.6 97.0 99.3 101.8 106.8
2019 11.7 17.5 31.2 42.4 51.0 59.6 69.7 77.0 84.1 87.1 99.3 103.4 104.6 109.8
2020 12.0 17.5 25.5 39.5 50.2 58.6 66.7 74.8 83.0 90.0 93.9 92.4 111.2 113.9
2021 11.6 19.9 26.5 37.4 48.0 58.5 66.7 74.9 84.0 91.7 97.7 102.1 105.8 115.0
2022 10.8 20.4 32.4 39.1 49.3 58.4 68.7 75.3 84.1 92.5 98.2 102.6 113.2  
2023 11.4 19.7 32.3 42.2 50.0 59.1 67.6 75.9 81.7 86.8 104.2 104.1 115.6  
2024 11.3 18.1 30.9 42.2 50.7 59.6 66.7 76.0 80.4 85.9 96.6 99.5 117.0 117.0
Table A5. North East Arctic COD. Length (cm) at-age in the Barents Sea from the investigations winter survey in February. Data for ages 1-11 from 1994 and onwards - WD 1, WKBarFar 2021.
Year \ Age 1 2 3 4 5 6 7 8 9 10 11 12 13 14
1983 20 190 372 923 1597 2442 3821 4758            
1984 23 219 421 1155 1806 2793 3777 4566            
1985 20 171 576 1003 2019 3353 5015 6154            
1986 20 119 377 997 1623 2926 3838 7385            
1987 21 65 230 490 1380 2300 3970 6000            
1988 24 114 241 492 892 1635 3040 4373            
1989 16 158 374 604 947 1535 2582 4906 10943 5226        
1990 26 217 580 1009 1435 1977 2829 4435 10772 11045 9615      
1991 18 196 805 1364 2067 2806 3557 4502 7404 13447        
1992 20 136 619 1118 1912 2792 3933 5127 6420 8103 17705 22060    
1993 9 71 415 1179 1743 2742 3977 5758 7068 7515 7521 10744    
1994 13 56 262 796 1470 2386 3481 4603 6777 8195 8516 13972    
1995 15 54 240 658 1336 2207 3570 4715 5712 8816 6817 12331    
1996 15 62 232 627 1084 1980 3343 5514 7722 8873 9613 12865 12556  
1997 13 52 230 638 1175 1797 2931 4875 7529 5739 10194      
1998 11 52 280 635 1182 1728 2588 4026 6076 11257 14391      
1999 14 59 231 592 1178 1829 2991 4128 6321 7342        
2000 16 74 210 558 1210 1963 3036 3867 5401 6154 10023      
2001 14 106 336 646 1288 2233 3088 4439 5732 8442 11429      
2002 14 67 238 747 1229 2063 3199 4578 7525 6598 12292      
2003 13 61 234 597 1316 2014 2989 4715 6517 7500 12812      
2004 11 59 275 608 1143 1947 2623 4137 6673 7368 8109      
2005 13 61 246 723 1146 1866 2949 4226 6436 8646 12537   24221 11640
2006 13 69 280 669 1420 1970 2641 4260 5914 10179 9439 8328    
2007 19 73 235 639 1302 2190 3039 4411 6394 8056 10826 20104    
2008 15 90 335 798 1399 2442 3235 5210 6981 9641        
2009 13 83 294 704 1302 2065 4067 5087 6874 9460 9511      
2010 12 64 304 700 1296 2033 3162 4743 6562 8984 10315     22766
2011 15 66 246 668 1131 1940 2726 4013 5969 8275 10309 13159 14868  
2012 13 62 252 609 1276 1681 2489 3764 5920 7809 12199 15006 17582  
2013 11 65 269 602 1208 2055 2809 3843 4822 8447 9101 15108 14743  
2014 8 50 246 603 1226 1780 2866 3930 4927 6203 8570 9566 12239  
2015 10 44 242 602 1221 1929 2741 4043 4804 6817 7759 11544 21652  
2016 13 53 200 593 1049 1928 2674 3830 5540 6129 7110 8272 15256 21945
2017 15 102 292 720 1178 1972 3056 3962 5901 7429 9301 8599 12958 14894
2018 12 69 320 688 1228 2062 2803 4154 5409 6632 9156 10510 11810 12443
2019 12 48 273 685 1164 1870 2916 3974 5394 6068 9637 11507 12371 13993
2020 14 44 153 548 1077 1692 2476 3625 5074 6758 8040 8107 14892 15793
2021 14 68 164 462 910 1682 2484 3620 5379 7160 9313 10923 12410  
2022 11 77 311 535 1052 1716 2885 3855 5321 7751 9538 11432 14940  
2023 12 71 316 694 1111 1757 2802 4097 5119 6443 10937 10668 14732  
2024 12 57 289 701 1133 1855 2571 3834 4994 5931 8809 10805 17000  
Table A6. North East Arctic COD. Weight (g) at-age in the Barents Sea from the investigations winter survey in February. Data for ages 1-11 from 1994 and onwards - WD 1, WKBarFar 2021.
Year/age 5 6 7 8 9 10 11 12 13 14 12+
1985 59.6 71.1 79.0 88.2 97.3 105.2 114.0        
1986 62.7 70.0 80.0 89.4 86.6   105.8       115.0
1987 58.2 64.5 76.7 86.2 88.0   118.5       116.0
1988 53.1 67.1 71.6 94.0 97.0 119.6          
1989 54.0 59.0 69.8 80.8 96.6 103.0         125.0
1990 56.9 65.1 69.2 79.5 83.7 100.1          
1991 59.0 67.3 74.4 81.0 91.3 99.8 85.0        
1992 66.3 68.7 78.3 83.9 89.2 92.2 101.9       127.0
1993 58.3 66.1 72.8 83.6 87.4 92.7 95.4       111.2
1994 64.3 70.6 82.0 87.3 90.0 95.3 92.4       101.4
1995 61.5 69.7 77.8 84.4 92.6 96.7 100.3       99.5
1996 62.2 67.1 75.9 81.0 93.6 100.9 97.4       104.1
1997 63.7 68.6 74.2 83.8 99.9 108.4         109.0
1998 55.0 62.6 70.2 80.0 92.0 98.0 96.7       115.0
1999 52.7 67.0 69.4 78.6 85.8 100.3 102.0       125.0
2000 58.4 66.5 72.6 77.0 83.9 90.6 93.7       112.4
2001 59.3 66.9 73.2 87.1 88.7 102.8 98.5       128.2
2002 58.6 66.0 73.2 80.8 88.2 101.8 91.0       101.4
2003 62.3 65.0 73.2 80.9 88.9 86.4 120.0       122.0
2004 58.8 64.7 71.2 80.1 85.6 97.0 102.6       115.8
2005 56.3 65.4 72.3 76.0 85.3 95.5 110.5       117.8
2006 56.2 63.7 72.6 77.5 82.9 88.3 89.2       116.3
2007 63.0 66.4 72.4 82.5 88.2 99.8 103.7       115.0
2008 63.8 69.1 73.6 80.9 90.0 94.9 94.9       96.5
2009 60.5 69.3 76.5 82.7 88.7 98.8 92.9       111.6
2010 59.9 64.9 73.6 83.3 89.2 96.3 100.8 103.1 118.2 123.0  
2011 57.1 64.3 70.0 79.9 91.2 98.3 101.6 103.6 110.0 102.0  
2012 65.3 65.1 69.9 76.6 85.3 98.7 104.6 103.9 116.2 89.0  
2013 63.6 68.7 73.0 78.4 83.5 90.9 99.1 96.6 103.0 116.8  
2014 55.9 66.0 74.5 77.9 82.8 86.8 93.4 99.1 109.2 116.0  
2015 61.0 66.5 72.9 78.6 83.4 89.0 95.4 99.5 106.1 114.5  
2016 64.0 63.0 74.3 81.1 88.8 93.2 95.5 97.1 103.2 117.1  
2017 58.0 64.8 70.7 81.6 87.3 94.8 98.7 99.4 102.7 106.1  
2018 67.9 67.3 72.9 79.5 89.4 93.6 99.3 104.9 104.3 107.9  
2019 59.9 69.4 74.7 81.4 87.9 93.9 98.1 106.2 111.1 109.8  
2020 66.1 68.3 75.1 81.8 88.9 95.1 96.3 106.0 109.5 109.1  
2021 63.3 66.3 74.3 78.6 89.4 93.3 96.9 103.7 103.1 108.4  
2022 61.4 67.9 72.9 81.0 88.4 96.5 100.1 98.3 99.3 104.0  
2023 60.0 69.1 76.7 80.5 87.1 93.1 99.3 107.2 114.0 120.6  
2024 52.2 64.7 73.5 77.9 81.7 91.3 96.4        
Table A7. Northeast Arctic COD. Length at age in cm in the Lofoten survey.
Year 5 6 7 8 9 10 11 12 13 14+ 12+
1985 2.00 3.42 4.61 6.67 8.89 10.73 14.29        
1986 2.22 3.22 4.74 6.40 5.80   10.84       13.48
1987 1.44 1.94 3.61 5.40 5.64   13.15       12.55
1988 1.46 2.82 3.39 6.63 7.27 13.64          
1989 1.30 1.77 2.89 4.74 8.28 9.98         26.00
1990 1.54 2.32 2.55 3.78 4.77 8.80          
1991 2.21 2.52 3.51 5.18 7.40 11.36 5.35        
1992 2.56 2.85 3.99 5.43 6.35 8.03 9.50       17.80
1993 1.79 2.58 3.55 5.31 6.21 7.69 9.28       14.71
1994 2.31 3.27 5.06 6.39 6.64 7.92 7.73       10.10
1995 2.20 3.24 4.83 5.98 7.80 10.03 10.39       10.68
1996 2.22 2.75 4.11 5.63 7.92 10.53 10.58       12.08
1997 2.42 2.92 3.86 5.71 9.65 13.41         12.67
1998 1.88 2.09 2.98 4.85 7.92 9.91 11.05       18.34
1999 1.51 2.80 2.96 4.22 5.92 9.33 9.17       16.00
2000 1.71 2.50 3.16 3.85 5.32 7.07 7.62       12.84
2001 1.90 2.72 3.49 6.23 6.82 10.95 10.29       28.58
2002 1.87 2.57 3.52 4.71 6.18 10.56 8.70       10.48
2003 2.30 2.34 3.48 4.59 5.89 8.07 24.50       27.70
2004 1.74 2.30 3.02 4.50 5.77 7.81 9.95       13.25
2005 1.56 2.40 3.20 3.71 5.79 8.52 16.27       18.63
2006 1.54 2.35 3.44 4.19 5.43 6.57 6.19       18.15
2007 2.34 2.67 3.53 5.30 6.70 9.95 11.24       16.62
2008 2.21 2.97 3.63 4.88 6.74 8.18 7.70       9.07
2009 2.04 2.98 4.10 5.19 6.56 9.38 8.58       15.67
2010 1.90 2.46 3.47 5.13 6.26 7.83 9.59 10.77 18.31 20.84  
2011 1.66 2.28 2.89 4.52 6.82 8.82 9.55 9.08 13.38 10.70  
2012 3.07 2.47 2.93 3.89 5.37 8.79 11.53 12.28 15.04 5.41  
2013 2.49 3.05 3.52 4.46 5.54 7.56 10.26 10.23 11.49 16.61  
2014 1.90 2.52 3.80 4.04 5.06 5.96 7.36 9.01 12.20 16.95  
2015 2.16 2.62 3.42 3.95 5.21 6.53 8.32 9.95 12.45 14.21  
2016 2.53 2.31 3.72 5.05 6.79 8.03 8.93 9.02 12.12 18.46  
2017 2.01 2.52 2.94 4.91 5.75 7.16 8.18 9.10 10.49 11.59  
2018 3.25 2.77 3.41 4.53 6.51 7.94 9.65 12.05 12.04 12.85  
2019 2.12 3.02 3.76 4.81 6.07 7.44 8.71 11.06 13.86 13.40  
2020 2.75 2.79 3.64 4.69 6.06 7.78 8.70 10.86 12.93 13.95  
2021 2.30 2.62 3.76 4.40 6.59 7.39 8.56 10.15 11.821 14.79  
2022 2.61 3.00 3.59 5.01 7.15 8.34 9.34 9.35 9.41 11.63  
2023 1.86 2.94 4.16 4.84 6.00 7.19 9.36 11.88 15.31 17.69  
2024 1.13 2.32 3.95 4.38 5.68 7.16 9.72        
Table A8. Northeast Arctic COD. Mean weight-at-age (kg) in the Lofoten survey.
Year         Age                
    1 2 3 4 5 6 7 8 9 10+ Total  
1985 1 77 569 400 568 244 51 20 8 1 3 1941  
1986 1 25 129 899 612 238 69 20 3 2 1 1998  
1987 2 2 58 103 855 198 82 19 4 1 1 1323  
1988 2 3 23 96 100 305 54 16 3 1 1 602  
1989 1 1 3 17 45 57 91 75 25 13 5 332  
1990 1 36 27 8 27 62 74 91 39 10 3 377  
1991 1 63 65 96 45 50 54 66 49 5 1 494  
1992 1 133 399 380 121 56 58 33 29 11 2 1222  
1993 1 20 44 220 234 164 51 19 13 8 10 783  
1994 1 105 38 147 275 303 314 100 35 10 8 1335  
1995 1 242 42 111 219 229 97 21 6 2 2 971  
1996 1,3,5 424 275 189 316 449 314 126 27 3 4 2127  
1997 4,5 72 160 263 198 112 57 27 9 1 1 900  
1998 1 26 86 279 186 57 23 10 4 1 0 672  
1999 1 19 79 166 260 98 20 8 5 2 1 658  
2000 1,rev 24 82 191 159 127 48 6 3 1 1 642  
2001 1 38 59 148 204 120 70 14 2 1   656  
2002 1,5,6 83 2 106 85 140 151 67 30 7 1 672  
2003   69 36 25 218 142 167 163 60 23 4 908  
2004   375 35 170 85 345 194 229 167 49 19 1669  
2005   112 48 65 154 70 214 68 47 17 8 803  
2006 7 12 20 39 49 78 32 64 23 13 8 341  
2007   13 35 165 372 208 189 74 113 32 20 1221  
1 October-December
2 September-October
3 Area IIb not covered
4 Areas IIa, IIb covered in October-December, part of Area I covered in February-March 1998
5 Adjusted for incomplete area coverage
6 Area IIa not covered
7 Area I not fully covered
Table A9. Northeast Arctic COD. Results from the Russian trawl-acoustic survey in the Barents Sea and adjacent waters in the autumn. Stock number in millions.
Year     Age                        
  0 1 2 3 4 5 6 7 8 9 10 11 12 13+ Sum
1982 849.3 1905.3 33.2 141.3 152.5 72.1 19.8 55.1 17.4 3.7 1.9 1.5 0.1 0.0 3253.3
1983 1872.2 2003.4 73.2 52.0 64.2 50.6 35.8 17.9 25.2 9.4 0 0 0 0 4203.9
1984 363.3 180.5 104.4 118.9 70.0 48.9 35.7 15.4 6.9 6.1 1.7 1.5 0.6 0.2 954.0
1985 284.6 15.6 129.0 118.8 159.2 106.8 36.5 16.5 3.7 0.8 1.6 0.1 2.1 0.0 875.3
1986 329.9 7.6 31.7 162.2 153.2 149.3 48.1 18.9 4.2 0.2 0.6 0.0 0.0 0.0 905.9
1987 7.7 1.3 46.9 55.7 307.6 90.0 70.1 18.4 6.0 2.5 0.4 0.1 0.3 0.0 607.0
1988 92.5 2.9 31.3 99.3 93.8 287.9 58.3 26.0 4.7 2.4 0.1 0.0 0.0 0.0 699.2
1989 355.8 3.0 14.7 49.0 97.8 106.2 145.4 116.7 29.9 11.2 4.7 1.8 0.7 0.5 937.4
1990 1248.4 31.1 51.0 16.7 48.7 62.7 97.2 153.8 67.3 15.3 4.9 0.9 0.2 0.0 1798.2
1991 974.0 64.0 91.1 107.7 48.4 53.2 58.3 68.5 74.7 9.8 1.4 0.3 0.0 0.0 1551.4
1992 1204.8 157.7 151.1 67.5 30.8 23.9 27.3 21.8 17.5 2.5 2.5 0.4 0.0 0.0 1707.8
1993 484.8 38.0 158.6 160.4 113.5 68.1 41.6 35.4 8.7 0.3 0.7 0.1 0.1 0.0 1110.3
1994 1606.6 833.2 69.9 136.3 130.9 101.9 35.4 12.8 4.9 2.1 1.1 0.6 0.2 0.0 2935.9
1995 5703.5 471.9 36.9 58.9 106.5 139.5 84.9 25.1 8.3 1.9 1.8 0.9 0.6 0.0 6640.8
1996 2660.3 396.5 128.5 73.3 78.4 103.5 77.3 34.8 13.2 1.9 0.5 1.2 0.2 0.0 3569.6
1997 1371.4 353.9 135.3 134.2 83.5 61.3 60.2 34.8 11.6 3.2 3.0 0.0 0.0 0.0 2252.4
1998 304.8 276.8 89.6 202.8 136.3 78.8 47.0 25.9 13.0 4.8 0.5 0.0 0.1 0.0 1180.4
1999 266.9 40.1 118.4 158.7 207.2 98.0 30.1 12.3 9.4 4.2 0.4 0.0 0.0 0.0 945.7
2000 1436.5 37.7 103.6 183.9 128.6 178.6 77.3 11.4 5.2 2.3 0.9 0.4 0.0 0.0 2166.4
2001 321.6 233.8 77.3 122.4 155.7 129.0 106.1 30.4 5.0 1.4 0.5 2.5 1.3 0.0 1187.1
2002 1797.9 26.7 135.6 98.0 147.3 147.3 89.6 60.0 18.2 2.9 0.8 0.1 0.1 0.0 2524.4
2003 489.5 517.5 26.8 124.6 105.7 116.6 120.3 53.5 24.1 4.0 0.9 0.3 0.0 0.1 1583.9
2004 1770.4 158.4 87.5 32.9 157.6 88.0 111.1 77.6 27.9 9.3 2.3 0.4 0.2 0.0 2523.6
2005 2298.0 323.9 61.7 140.8 63.1 183.2 74.4 60.5 24.4 8.8 2.8 0.6 0.1 0.0 3242.4
2006 427.4 52.4 63.2 92.7 161.3 77.7 180.1 66.2 34.2 16.1 4.3 1.7 0.7 0.0 1178.1
2007 177.5 37.0 148.6 257.9 161.7 190.3 84.6 152.5 55.3 22.6 8.6 4.9 1.1 0.7 1303.3
2008 1468.6 45.2 86.3 220.3 308.8 163.5 147.2 83.0 86.3 29.1 11.5 3.3 1.7 0.2 2654.9
2009 1877.7 287.8 21.9 97.4 231.7 368.7 201.6 117.5 62.0 41.3 20.5 6.5 3.2 0.9 3338.7
2010 2210.4 214.9 47.0 33.4 107.0 250.5 371.5 181.7 78.9 39.5 29.9 15.6 5.5 2.0 3587.7
2011 2296.1 125.9 80.0 88.2 50.8 143.2 306.5 330.0 91.7 43.9 17.6 17.5 7.0 3.5 3602.1
2012 1096.0 196.2 45.1 81.5 111.4 83.9 212.2 335.8 187.8 43.2 19.5 4.6 5.7 1.9 2424.8
2013 297.1 654.0 107.6 74.7 117.4 117.7 88.4 234.9 313.2 136.7 30.6 9.2 5.4 4.5 2191.5
2014 909.7 211.0 72.1 139.9 136.8 172.5 148.3 111.1 192.9 129.7 38.3 9.3 3.5 2.0 2277.1
2015 572.9 465.4 51.5 65.7 158.3 174.2 193.2 161.0 92.5 115.8 76.1 24.2 6.5 4.9 2162.0
2016 NA NA NA NA NA NA NA NA NA NA NA NA NA NA  
2017 4325.9 5257.4 94.5 145.6 88.4 106.3 195.2 123.1 56.7 26.6 12.0 12.0 7.5 2.8 10454.0
2018 NA NA NA NA NA NA NA NA NA NA NA NA NA NA  
2019 NA NA NA NA NA NA NA NA NA NA NA NA NA NA  
Table A10. Northeast Arctic COD. Abundance indices (millions) from the Russian bottom trawl survey in the Barents Sea. Total (Sub-area I and Division IIa and IIb).
Year Age      
  0 1 2 3 4 5 6 7 8 9 10 11 12
1984 15.7 22.3 30.7 44.3 51.7 63.6 73.4 82.5 88.4 97.0 - - -
1985 15.0 21.1 30.6 43.2 53.7 61.2 72.8 83.0 92.8 101.3 - - -
1986 15.2 19.7 28.3 39.0 51.8 62.2 70.9 83.0 91.3 104.0 - - -
1987 - 19.2 27.9 33.4 41.4 59.1 69.2 80.1 95.7 102.6 - - -
1988 11.3 21.3 28.7 36.2 43.9 53.3 65.3 79.5 85.0 - - - -
1989 - 20.8 28.8 34.8 46.0 53.9 61.8 69.8 78.7 88.6 - - -
1990 16.0 24.0 30.4 46.5 54.9 62.5 69.7 77.6 87.8 102.0 - - -
1991 11.5 22.4 30.6 43.0 55.9 64.6 72.8 78.5 87.9 101.8 - - -
1992 11.3 21.3 31.9 50.1 59.8 69.1 78.6 84.0 90.8 97.5 - - -
1993 12.1 17.4 29.1 43.4 52.7 64.3 73.9 81.2 89.1 91.8 - - -
1994 12.2 20.3 26.3 33.7 47.4 58.7 70.6 80.8 90.1 96.1 - - -
1995 11.6 19.8 27.6 33.8 45.2 60.5 71.1 83.5 92.9 99.1 - - -
1996 10.2 20.0 28.1 36.7 48.7 58.9 70.5 80.0 93.6 102.7 - - -
1997 9.6 18.5 28.8 38.2 50.8 62.0 70.5 80.1 88.9 103.5 - - -
1998 11.4 19.0 28.0 36.4 50.5 61.0 70.7 80.3 91.1 102.5 - - -
1999 11.7 19.7 27.9 35.3 51.6 60.6 70.6 78.9 86.8 94.3 - - -
2000 10.7 20.8 30.1 34.7 49.8 61.1 71.6 82.0 88.3 85.7 104.2 - -
2001 10.6 19.4 29.8 37.3 50.4 61.9 71.9 81.4 91.0 98.7 103.8 - -
2002 10.7 19.2 29.9 38.2 52.5 60.4 70.6 82.2 91.3 97.2 104.1 - -
2003 9.8 18.9 28.3 34.9 49.2 62.2 71.0 81.5 92.3 100.9 104.3 - -
2004 9.8 19.6 29.3 38.4 49.1 60.0 70.5 80.0 91.0 98.0 106.0 - -
2005 11.2 19.4 29.7 38.5 48.7 59.3 69.3 79.2 87.7 96.1 104.4 - -
2006 13.0 21.9 31.6 42.7 53.2 60.1 70.2 79.1 88.3 95.2 107.7 - -
2007 10.7 21.5 30.8 42.2 53.6 63.7 71.0 79.6 87.3 95.9 - - -
2008 10.2 20.0 30.3 40.2 53.7 64.5 74.6 82.7 89.5 98.2 102.3 110.2 111.9
2009 12.9 19.3 29.5 38.4 50.7 61.5 70.7 81.7 89.9 94.7 101.8 105.9 109.4
2010 11.1 19.3 28.7 38.5 48.9 59.1 68.0 78.4 88.2 97.3 102.5 108.4 117.7
2011 11.2 20.3 29.2 38.5 49.5 58.6 68.7 78.2 90.0 97.9 106.9 109.3 116.0
2012 11.0 20.3 31.1 40.8 50.8 60.7 68.4 77.6 87.4 97.7 105.2 111.7 116.6
2013 9.5 19.5 29.0 40.3 50.4 59.3 67.3 75.3 84.4 95.3 104.5 111.9 119.4
2014 10.1 20.1 29.8 39.2 50.7 60.9 69.4 77.9 85.1 93.6 102.7 113.3 122.8
2015 11.5 19.0 28.5 37.5 48.0 58.4 67.4 76.3 83.5 91.0 98.8 107.1 117.9
2016 - - - - - - - - - - - - -
2017 15 21 31 40 52 59 67 76 85 92.6 97.9 104 110.1
2018 - - - - - - - - - - - - -
2019 - - - - - - - - - - - - -
Table A11. Northeast Arctic COD. Length-at-age (cm) from Russian surveys in November-December.
  Age    
Year    
  0 1 2 3 4 5 6 7 8 9 10 11 12
1984 26 90 250 746 1187 2234 3422 5027 6479 9503 - - -
1985 26 80 245 762 1296 1924 3346 5094 7360 6833 11167 - -
1986 25 63 191 506 1117 1940 2949 4942 7406 9300 - - -
1987 - 54 182 316 672 1691 2688 3959 8353 10583 13107 - -
1988 15 78 223 435 789 1373 2609 4465 5816 - - - -
1989 - 73 216 401 928 1427 2200 3133 4649 6801 8956 - -
1990 28 106 230 908 1418 2092 2897 4131 6359 10078 13540 - -
1991 26 93 260 743 1629 2623 3816 4975 7198 11165 15353 - -
1992 10 76 273 1165 1895 2971 4377 5596 7319 9452 12414 - -
1993 11 46 211 717 1280 2293 3509 4902 6621 7339 8494 - -
1994 12 69 153 316 919 1670 2884 4505 6520 8207 9812 - -
1995 11 61 180 337 861 1987 3298 5427 7614 9787 10757 - -
1996 7 64 191 436 1035 1834 3329 5001 8203 10898 11358 - -
1997 6 48 203 487 1176 2142 3220 4805 6925 10823 12426 - -
1998 11 55 187 435 1186 2050 3096 4759 7044 11207 12593 - -
1999 10 58 177 371 1214 1925 3064 4378 6128 7843 11543 - -
2000 8 74 232 379 1101 2128 3341 5054 6560 8497 12353 - -
2001 9 58 221 459 1125 2078 3329 4950 7270 9541 11672 - -
2002 8 65 232 505 1299 1964 3271 5325 7249 9195 11389 - -
2003 6 49 205 492 972 1993 2953 4393 6638 9319 11085 - -
2004 6 55 231 543 1079 1798 2977 4110 5822 8061 12442 - -
2005 10 59 223 521 1034 1910 3036 4619 6580 9106 12006 - -
2006 13 72 270 707 1332 1953 2969 4340 6410 8622 12436 - -
2007 10 96 252 669 1344 2277 3140 4691 6178 8567 10014 - -
2008 7 58 228 558 1332 2305 3527 5001 6519 8848 10339 13276 15196
2009 15 54 214 495 1116 2024 3090 4876 6592 8087 10262 11472 13268
2010 9 54 191 794 989 1784 2719 4246 6384 8747 10499 12117 14199
2011 10 63 206 486 1037 1691 2827 4312 6698 8979 11557 12915 15694
2012 9 62 237 561 1087 1877 2688 3974 5930 8495 11000 13377 14826
2013 5 55 202 546 1062 1718 2541 3667 5258 7821 10509 13161 16581
2014 7 64 221 508 1079 1849 2734 3994 5418 7480 10100 14163 18404
2015 11 55 198 452 947 1735 2588 3728 5081 6827 8877 11623 15626
2016 - - - - - - - - - - - - -
2017 22 69 248 571 1150 1771 2539 3819 5426 7554 9236 11220 13536
2018 - - - - - - - - - - - - -
2019 - - - - - - - - - - - - -
Table A12. Northeast Arctic COD. Weight (g) at age from Russian surveys in November-December.
            Age                
Year 1 2 3 4 5 6 7 8 9 10 11 12 13+ 12+
1985 69.1 446.3 153.0 141.6 20.4 15.1 15.7 3.3 1.3 1.0 0.5 na na 0.0
1986 353.6 243.9 499.6 134.3 68.4 11.6 7.7 3.1 0.3 0.0 0.4 na na 0.1
1987 1.6 34.1 62.8 204.9 50.2 17.4 1.4 3.0 0.7 0.0 0.0 na na 0.0
1988 2.0 26.3 50.4 35.5 57.8 10.9 4.0 0.3 0.0 0.1 0.0 na na 0.0
1989 7.5 8.0 17.0 34.4 21.4 67.0 16.6 3.2 0.5 0.2 0.0 na na 0.1
1990 81.1 24.9 14.8 20.6 26.2 26.9 66.8 7.3 0.6 0.3 0.0 na na 0.0
1991 181.0 219.5 50.2 34.6 29.3 33.9 36.7 50.0 3.7 0.2 0.2 na na 0.0
1992 241.4 562.1 176.5 65.8 21.5 18.4 28.4 25.4 82.4 4.3 1.7 na na 0.2
1993 1074.0 494.7 357.2 191.1 113.1 35.4 25.5 25.2 27.7 44.2 4.9 na na 0.8
1994 902.6 624.4 323.9 374.5 229.3 96.1 23.4 11.8 10.3 4.2 18.7 na na 2.9
1995 2175.3 212.3 137.7 139.5 203.6 101.6 28.1 4.7 4.5 2.9 2.6 na na 8.1
1996 1826.3 271.7 99.4 89.6 112.8 97.4 46.2 5.9 1.1 0.4 0.9 na na 1.5
1997 1698.5 565.3 158.6 44.2 50.3 45.9 51.0 21.5 2.3 0.7 0.1 na na 0.8
1998 2523.6 475.2 391.2 189.8 44.9 41.5 34.9 27.1 5.1 1.0 0.2 na na 0.1
1999 364.8 231.5 147.6 130.3 52.3 13.9 11.8 18.7 9.9 1.0 0.2 na na 0.1
2000 153.4 262.8 294.8 167.3 149.2 54.6 14.6 6.9 5.0 1.3 0.6 na na 0.2
2001 363.6 51.5 177.4 160.6 85.1 62.1 19.1 2.7 0.8 0.6 0.3 na na 0.1
2002 19.2 209.1 61.4 106.2 101.1 71.3 36.6 9.4 1.2 0.8 0.6 na na 0.0
2003 1505.0 52.5 306.7 116.8 127.1 146.1 67.7 23.5 3.8 0.4 0.1 na na 0.2
2004 161.2 117.2 33.4 85.2 34.9 45.6 48.0 21.7 8.8 2.4 0.2 na na 0.7
2005 499.7 138.7 125.0 33.3 69.3 34.1 43.8 18.0 7.5 1.8 0.1 na na 0.3
2006 411.2 158.0 64.8 53.8 18.6 42.0 17.6 15.9 8.7 2.3 0.3 na na 1.0
2007 85.1 47.1 58.5 30.4 30.8 12.9 46.6 15.1 8.0 3.3 0.9 na na 0.4
2008 50.9 94.2 199.9 288.7 116.6 78.9 24.8 35.2 5.5 2.8 1.7 na na 0.7
2009 204.9 25.5 107.8 182.5 141.5 56.0 41.5 12.8 26.6 3.6 1.7 na na 0.4
2010 620.3 43.6 22.8 88.0 161.4 175.0 61.8 31.4 10.8 12.5 4.0 2.0 0.9 2.9
2011 266.0 91.0 40.4 28.3 67.4 159.5 272.7 64.5 23.3 6.8 7.5 0.4 0.5 0.9
2012 496.5 40.2 82.8 49.4 34.4 89.5 226.6 133.5 25.7 10.4 3.8 1.8 1.0 2.8
2013 313.1 89.2 60.6 84.5 72.4 54.1 133.6 233.8 161.7 21.5 11.1 5.5 3.2 8.8
2014 1758.6 211.0 286.9 124.2 111.5 77.7 55.3 149.0 173.9 98.0 14.6 6.8 3.8 10.5
2015 1903.5 211.4 138.7 235.6 130.0 144.2 96.4 49.8 96.9 68.6 32.5 6.6 6.1 12.7
2016 240.8 201.9 56.3 76.9 119.9 66.4 59.4 40.9 35.6 56.5 34.4 17.6 11.0 28.6
2017 439.4 73.3 111.5 42.4 44.4 74.2 48.6 48.4 26.8 16.7 14.6 15.1 7.8 23.0
2018 2057.6 280.3 109.0 149.9 54.0 58.4 77.5 45.6 19.3 14.1 6.1 6.0 7.8 13.7
2019 1437.2 362.4 203.6 125.4 144.6 63.9 49.3 73.9 27.3 21.8 6.5 2.9 8.1 11.1
2020 92.7 157.9 117.3 117.3 81.9 94.3 50.6 50.9 49.5 19.5 8.4 2.6 5.4 8.0
2021 45.9 28.5 64.9 59.1 55.8 40.2 36.9 16.3 11.4 14.3 8.2 1.9 1.6 3.4
2022 524.7 43.4 29.4 53.0 57.0 50.4 47.5 34.5 11.6 6.8 5.3 2.2 1.8 3.9
2023 244.4 103.2 28.7 26.5 33.6 34.6 27.8 18.3 13.5 3.2 1.7 0.8 0.7 1.5
2024 328.4 201.0 150.7 51.0 29.9 28.6 30.4 26.5 18.5 5.9 1.1 0.1 0.1 0.2
Table A13. Northeast Arctic COD. Sum of acoustic abundance estimates (millions) in the Joint winter Barents Sea survey (Table A2) and the Norwegian Lofoten acoustic survey (Table A4).
Year 0 1 2 3 4 5 6 7 8 9 10 11 12 13+
2004 543.0 330.6 329.7 147.7 421.5 150.2 79.8 40.2 10.1 2.2 0.5 0.1 0.1 0.1
2005 180.2 440.7 146.6 216.6 55.8 100.9 28.0 15.6 5.7 1.2 0.5 0.1 0.0 0.1
2006 276.0 479.0 509.7 186.1 205.6 59.9 69.8 17.6 8.1 2.6 0.6 0.2 0.0 0.0
2007 101.0 333.3 505.4 586.2 159.2 79.1 24.6 26.9 6.0 2.2 0.9 0.1 0.2 0.0
2008 483.4 130.9 372.6 652.6 483.4 132.3 51.1 12.8 17.5 3.3 0.9 0.2 0.2 0.2
2009 903.3 569.7 93.5 202.3 280.6 289.6 101.7 31.9 12.7 7.3 2.6 0.8 0.3 0.2
2010 652.6 310.3 84.2 56.8 177.0 397.2 424.9 142.7 38.5 10.5 6.8 1.6 0.3 0.3
2011 2083.0 509.8 160.0 123.6 101.5 240.2 300.4 178.4 32.3 7.7 1.8 1.3 0.6 0.3
2012 1412.7 1454.3 255.9 229.1 146.4 70.0 150.8 165.2 84.5 12.7 4.4 1.6 1.4 0.6
2013 2281.8 914.2 659.0 249.1 183.6 125.7 63.2 118.2 130.2 53.8 9.1 3.3 1.5 0.9
2014 2445.2 308.2 155.1 190.0 108.6 93.9 52.8 30.4 50.2 36.3 12.1 3.4 1.0 1.4
2014 * 2445.2 339.0 184.0 226.3 122.2 103.4 67.7 42.1 81.3 78.9 28.1 4.7 1.3 1.5
2015 350.9 725.3 154.0 174.4 225.2 141.3 72.6 48.6 26.2 35.3 26.6 7.9 1.7 1.0
2016 1164.8 350.8 341.3 77.2 93.7 121.6 70.1 44.4 27.2 13.8 13.2 5.4 1.7 1.4
2017 2316.3 757.5 260.6 375.0 141.5 104.9 120.9 62.6 28.0 11.2 6.4 4.4 4.5 2.7
2018* 1841.2 2100.3 413.8 183.6 148.9 60.0 37.6 57.1 20.2 14.4 5.8 3.6 3.5 2.8
2019 313.4 560.2 475.2 416.6 232.3 215.1 76.6 42.2 44.4 16.1 4.9 2.2 1.1 1.8
2020** 115.6 63.5 106.3 139.5 135.6 93.4 82.9 30.8 14.2 10.7 3.1 1.0 0.5 1.0
2021 749.1 62.1 51.2 84.7 99.8 81.1 45.7 33.6 12.4 4.7 5.0 2.4 1.0 0.7
2022*** 399.2 218.2 39.6 25.6 32.8 34.4 33.8 18.6 9.8 2.5 0.8 0.5 0.1 0.2
2023 359.7 322.1 275.2 69.9 40.1 57.1 52.7 45.0 23.3 9.3 2.2 0.8 0.6 0.3
Table A14. Swept area estimates (millions) of Northeast Arctic Cod from the Joint Norwegian- Russian ecosystem survey in August-September (2020 data are taken from WD 01 AFWG 2021).

*data adjusted taking into account not complete area coverage

** revised

*** incomplete and unsynoptic coverage

Year   1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
2004   30 127 415 823 1464 2448 3266 4608 6323 9444 18331 13830 - 15924      
2005   37 162 428 985 1723 2553 3697 4808 5958 8583 7662 - 8799 -      
2006   39 155 473 1068 1759 2723 3725 5220 6798 10769 8904 9520 - -      
2007   52 173 523 1237 2078 3004 4163 5860 7638 11251 - 12683 - 15529      
2008   39 193 511 1154 1958 3187 4262 5793 7741 9563 12039 11149 16320 -      
2009   29 164 462 989 1614 2453 4034 5313 6334 7595 8221 12001 12040 -      
2010   37 152 470 946 1634 2551 3801 5381 6921 7986 9063 8868 13406 19217      
2011   35 143 419 991 1672 2523 3500 4812 6826 9403 12623 10379 10945 -      
2012   34 149 418 904 1634 2388 3276 4344 6466 8459 9798 11181 14621 10895      
2013   28 129 429 918 1553 2249 3230 4443 5805 8454 9817 12531 14308 17723      
2014   28 148 374 897 1684 2244 3501 4511 5933 7183 7894 11979 7602 13250      
2015   28 149 414 823 1483 2297 3219 4490 5635 6962 8478 12148 10385 15370      
2016   45 162 527 914 1563 2308 3324 4492 6472 7476 8689 10939 7485 16645      
2017   37 185 441 953 1660 2414 3398 4821 5876 7173 8345 9968 12765 12445      
2018   - - - - - - - - - - - - - -      
2019   28 103 386 899 1458 2208 3369 4508 6355 7734 9351 9147 11394 11403      
2020   38 125 343 864 1514 2311 3204 4609 6020 7589 8685 10474 12242 13537 10724 14504 19800
2021   41 200 359 714 1278 2224 3196 4482 6355 7527 9165 10910 12089 - 15930 17193  
2022*   33 171 499 828 1451 2415 3688 5088 7208 7524 12754 9535 - - - 17880  
2023   37 152 584 899 1533 2331 3371 5354 6170 7201 9392 9284 8430 15030      
Table A15. Mean weight at age of cod (g), data from bottom trawls Barents Sea Ecosystem survey. StoX calculations.

*revised

Year/age 1 2 3 4 5 6 7 8 9 10 11
1985 0.02 0.171 0.576 1.003 2.018 3.386 4.696 6.636 8.245 10.321 14.290
1986 0.02 0.119 0.377 0.997 1.645 3.010 4.488 6.518     13.480
1987 0.021 0.065 0.23 0.49 1.390 2.155 3.913 5.438     12.550
1988 0.024 0.114 0.241 0.492 0.907 2.116 3.269 4.937   13.640  
1989 0.016 0.158 0.374 0.604 0.948 1.581 2.762 4.791 8.835 8.582  
1990 0.026 0.217 0.58 1.009 1.436 2.010 2.716 3.995 5.425 8.992  
1991 0.018 0.196 0.805 1.364 2.067 2.764 3.532 4.945 7.401 11.645 5.350
1992 0.02 0.136 0.619 1.118 1.994 2.808 3.975 5.376 6.352 8.034 9.500
1993 0.009 0.071 0.415 1.179 1.745 2.675 3.686 5.399 6.280 7.680 9.280
1994 0.013 0.056 0.262 0.796 1.557 2.624 4.181 5.846 6.675 7.966 7.778
1995 0.015 0.054 0.24 0.658 1.364 2.565 4.124 5.326 7.379 9.895 9.738
1996 0.015 0.062 0.232 0.627 1.098 2.094 3.742 5.586 7.866 10.057 10.502
1997 0.013 0.052 0.23 0.638 1.185 1.918 3.433 5.515 8.889 10.408 12.405
1998 0.011 0.052 0.28 0.635 1.183 1.731 2.667 4.362 7.259 10.577 11.657
1999 0.014 0.059 0.231 0.592 1.180 1.964 2.978 4.200 5.980 8.848 9.642
2000 0.016 0.074 0.21 0.558 1.222 2.001 3.064 3.862 5.365 6.471 8.379
2001 0.014 0.106 0.336 0.646 1.319 2.371 3.257 5.078 6.186 10.084 10.558
2002 0.014 0.067 0.238 0.747 1.244 2.199 3.344 4.669 6.554 8.078 9.277
2003 0.013 0.061 0.234 0.597 1.335 2.080 3.207 4.643 6.206 7.649 17.062
2004 0.011 0.059 0.275 0.608 1.177 2.083 2.870 4.411 5.889 7.752 9.310
2005 0.013 0.061 0.246 0.723 1.166 2.068 3.114 3.852 5.877 8.538 14.573
2006 0.013 0.069 0.28 0.669 1.421 2.083 3.009 4.212 5.501 6.881 7.646
2007 0.019 0.073 0.235 0.639 1.351 2.334 3.340 4.923 6.598 9.649 11.132
2008 0.015 0.09 0.335 0.798 1.402 2.482 3.282 5.015 6.863 8.598 7.822
2009 0.013 0.083 0.294 0.704 1.320 2.302 4.089 5.152 6.611 9.391 8.657
2010 0.012 0.064 0.304 0.7 1.300 2.082 3.251 4.951 6.366 8.095 9.757
2011 0.015 0.066 0.246 0.668 1.146 2.050 2.830 4.367 6.592 8.681 9.647
2012 0.013 0.062 0.252 0.609 1.295 1.792 2.664 3.827 5.551 8.373 11.741
2013 0.011 0.065 0.269 0.602 1.212 2.163 2.988 4.103 5.292 7.782 9.842
2014 0.008 0.05 0.246 0.603 1.228 1.804 3.121 3.975 5.015 6.018 7.575
2015 0.01 0.044 0.242 0.602 1.227 1.936 2.849 4.015 4.981 6.630 8.187
2016 0.013 0.053 0.2 0.593 1.051 1.936 2.835 4.240 6.315 7.431 8.541
2017 0.015 0.102 0.292 0.72 1.181 2.024 3.026 4.363 5.817 7.223 8.405
2018 0.012 0.069 0.32 0.688 1.251 2.099 2.890 4.246 5.893 7.356 9.512
2019 0.012 0.048 0.273 0.685 1.165 1.908 3.139 4.384 5.833 7.221 8.788
2020 0.014 0.044 0.153 0.548 1.089 1.729 2.650 4.133 5.633 7.455 8.566
2021 0.014 0.068 0.164 0.462 0.918 1.721 2.696 3.807 5.916 7.314 8.762
2022 0.011 0.077 0.311 0.535 1.061 1.801 2.953 4.079 5.915 8.126 9.399
2023 0.012 0.071 0.316 0.694 1.113 1.782 2.997 4.330 5.537 6.824 9.661
2024 0.012 0.057 0.289 0.701 1.133 1.876 2.666 3.991 5.262 6.370 9.367
Table A16. Mean weight at age of cod (kg), combined data from winter survey and Lofoten survey.
 

Chapter 4. Haddock in subareas 1 and 2 (Northeast Arctic)

Introductory note

On 30th March 2022 all Russian participation in ICES was suspended. The AFWG report 2024 chapter on haddock was therefore not updated.

In the present report, we have kept the main structure of the NEA haddock chapters in AFWG reports from the last years.

Status of the fisheries

Historical development of the fisheries

Haddock is mainly fished by trawl as bycatch in the fishery for cod. Also, a directed trawl fishery for haddock is conducted. The proportion of the total catches taken by direct fishery varies between years. On average approximately 70% of the catches are taken by trawl. Norway takes about half of the quota with other gear, in particular long line and Danish seine. Danish seine has become more important in the Norwegian fisheries the last 10 years. Some of the longline catches are from a directed fishery, which is restricted by national quotas. In the Norwegian management, the quotas are set separately for trawl and other gears. The fishery is also regulated by a minimum landing size (40 cm), a minimum mesh size in trawls and Danish seine, a maximum bycatch of undersized fish, closure of areas with high density/catches of juveniles and other seasonal and area restrictions.

The exploitation rate of haddock has been variable. The highest fishing mortalities for haddock have occurred at low to intermediate stock levels and historically show little relationship with the exploitation rate of cod, despite haddock being primarily caught as bycatch in the cod fishery. However, the more restrictive quota regulations introduced around 1990 have resulted in a more stable pattern in the exploitation rate.

The exceptionally strong year classes 2005–2006 contributed to the strong increase to all-time high stock levels and high catch levels. Their importance in the catches is currently minimal. Currently, the 2017 and 2016 year-classes are dominating the catches.

Catches prior to 2024 (Table 4.1–Table 4.3, Figure 4.1)

The highest landings of haddock historically were 322 kt in 1973. Since 1973 the highest catches observed was 316 kt in 2012. The landings in 2018-2022 were below 200 kt (Figure 4.1).

Provisional official landings for 2023 are about 179 kt, which is 5% above the agreed TAC (170 kt). As for cod, there was a strong decrease in catches in area 2b from 2022 to 2023.

In 2006 it was decided to include reported Norwegian landings of haddock from the Norwegian statistical areas 06 and 07 (i.e. between 62°N and Lofoten Islands). These areas were not previously included in the total landings of NEA haddock as input for this stock assessment (ICES CM 2006/ACFM:19; ICES CM 2006/ACFM:25).

Estimates of unreported catches (IUU catches) of haddock have been added to reported landings for the years from 2002 to 2008. Two estimates of IUU catches were available, one Norwegian and one Russian. At the benchmark in 2011 it was decided to base the final assessment on the Norwegian IUU estimates (ICES CM 2011/ACOM:38; Table 4.1).

We continue to include the estimates of IUU catches 2002–2008. The IUU catches are assumed to be negligible for the period 2009–2023 and therefore set to zero.

Catch advice and TAC for 2024

The catch advice for 2024 was 128 k t – a 25% reduction from the year before, following the Harvest Control Rule, and a F of 0.37. Fishing at Fmsy==0.35 would have given a TAC of 123 kt. The Joint Norwegian-Russian Fisheries Commission set the TAC to 141 kt, which is 10% higher than the advice and not in accordance with the HCR. Russia and Norway can transfer the unused part of their own quota, restricted to a maximum of 10% of own quotas from 2023 to 2024. The catch in 2023 was 5% higher than the agreed TAC.

Status of research

Survey results

Russia provided indices for 1982–2015 and 2017 for the Barents Sea trawl and acoustic survey (TAS) which was carried out in October–December (FLT01, RU-BTr-Q4). The survey was discontinued in 2018.

The Joint Barents Sea winter survey provides two index series used for tuning and recruitment forecast (bottom trawl: FLT02, NoRu-BTr-Q1 and acoustics: FLT04, NoRu-Aco-Q1). The survey area has been extended from 2014 with additional northern areas (N) covered. The extended area is now included in total and standard survey index calculations for haddock (WKDEM 2020) and is done using the StoX software (Johnsen et al. 2019). Overall, this survey tracks both strong and poor year classes well. The indices from the Joint winter survey of cod and haddock in the Barents Sea are provided in the annual survey reports from this survey (e.g., Fall et al. 2023). The spatial survey coverage in 2024 was good.

The Joint Barents Sea ecosystem survey provides indices by age from bottom trawl data (FLT007, Eco-NoRu-Q3 Btr) used for tuning and recruitment forecast. At the benchmark in 2011 it was decided to include this survey as tuning series. Tuning indices by age from the Joint ecosystem survey is calculated using the BIOFOX programme (Prozorkevich and Gjøsæter 2014). The areas coverage with respect to the distribution of haddock was good in 2023. The estimates for cod and haddock are presented in WD 1.

The survey indices for ages used in tuning can be found in Table 4.9, and the survey indices used in recruitment forecast can be found in Table 4.16.

Data used in the assessment

Catch-at-age (Table 4.4)

Relevant data of estimated catch-at-age was obtained from InterCatch for the period 2008–2020 and is presented together with historical values from 1950–2007 in Table 4.4. Catch at age from For 2021 and 2022 catch data allocation, instead of using InterCatch, the same algorithm was realized in Excel. Excel was used for comparison with InterCatch in 2008-202 0 , and no differences between InterCatch and Excel allocations were detected.

Age and length composition of the landings in 2023 were available from Norway and Russia in Subarea 1 and Division 2.b, and from Norway, Russia, and Germany in Division 2.a. The German catches was obtained from Intercatch. Norwegian catch at age data was calculated using StoX-R Eca. International landings data were downloaded from https://data.ices.dk/ except for Belarus that reports directly to Russian authorities. Data was combined in Excel as for 2021 and 2022. The biological sampling of NEA haddock catches is considered good for the most important periods of the year and samples were taken from all types of gears in all areas. where the fisheries taken place

Catch-weight-at-age (Table 4.5)

The mean weight-at-age in the catch was obtained as a weighted average of the weight-at-age in the catch from Norway, Russia and Germany.

Stock-weight-at-age (Table 4.6)

Since 1983 the stock weights-at-age (Table 4.6) are calculated using the average of the weight-at-age estimate from the Joint Barents Sea winter survey and the Russian bottom trawl survey. These averages are assumed to give representative values for the beginning of the year (see stock annex for details). However, the Russian bottom trawl survey has been discontinued and therefor stock weights-at-age were calculated using a correction factor (WKDEM 2020). Since the benchmark in 2006 stock weight at age has been smoothed (ICES 2006, see stock annex and WD 4 for details).

Maturity-at-age (Table 4.7)

Since the benchmark 2006, smoothed estimates were produced separately for the Russian autumn survey and the Joint winter survey and then combined using arithmetic average. These averages are assumed to give representative values for the beginning of the year. However, the Russian bottom trawl survey has been discontinued and therefore maturity-at-age were calculated using a correction factor (see WKDEM 2020, stock annex and WD 4 for details).

Natural mortality (Table 4.8)

Natural mortality used in the assessment was 0.2. For ages 3–6 mortality predation by cod is added (see stock annex). For the period from 1984 and onwards actual estimates of predation by cod was used. For the years 1950–1983 the average natural mortality for 1984–202 3 was used (age groups 3–6). Estimated mortality from predation by cod in this year’s assessment is based on the ‘final run’ cod assessment. The proportion of F and M before spawning was set to zero.

Data for tuning (Table 4.9)

The following survey series are included in the data for tuning, the last age for all surveys is the plus group. Data are lacking (no survey) for FLT01 in 2016, and for FLT007 in 2018 and 2022 (not included due to poor/not synoptic coverage).

data tuning series
Name Acronym Place Season Age Year prior weight
FLT01: Russian bottom trawl RU-BTr-Q4 Barents Sea October–December 3–8+ 1991–2017 1
FLT02: Joint Barents Sea survey–acoustic BS-NoRU-Q1(Aco) Barents Sea February– March 3–9+ 1993–2024 1
FLT04: Joint Barents Sea survey–bottom trawl BS-NoRu-Q1 (BTr) Barents Sea February– March 3–10+ 1994–2024 1
FLT007: Joint Russian-Norwegian ecosystem autumn survey in the Barents Sea–bottom trawl Eco-NoRu-Q3 (Btr) Barents Sea August–September 3–9+ 2004–2023 1

Changes in data from last year (Table 4.6–Table 4.7, Table 4.9)

At the benchmark (WKDEM 2020) it was decided that historic values (1950–1993) of stock weight and maturity should not be updated in the following years. Due to the smoothing procedure (see stock annex) the stock weight and maturity at age back to 1994 are updated every year.

Natural mortality includes cod predation for the ages 3–6. The data from 1984 and onwards are updated every year after the update of the cod assessment. The averages used for the historic period (1950–1983) were updated and used in the assessment.

Assessment models and settings (Table 4.10)

At the benchmark in 2020 it was decided to continue using the SAM model as the main model.

The SAM configuration was revised during the benchmark in 2020. The main changes to the configuration were to include:

1) age group 3 in the winter survey indices (Fleet 02 and 04),

2) plus group in all survey series (new option in SAM),

3) prediction variance link for the observation variances (new option in SAM, Breivik et al., 2021) 4) correlation structure in observation variance for the surveys (Berg and Nielsen, 2016).

The configuration, settings and tuning of SAM that were decided on during the benchmark (WKDEM 2020) were used in the current assessment. The configuration file is given in Table 4.10 and in the stock annex.

XSA, with revised settings, and TISVPA are both used as additional models for comparison.

Results of the assessment (Table 4.11–Table 4.14 and Figure 4.1–Figure 4.3)

The dominating feature of the assessment is that the stock reached an all-time high level around 2011 due to the strong 2004–2006 year-classes combined with reduced fishing pressure. Since then, the stock has declined (Table 4.11; Figure 4.1).

The estimated SSB and TSB for 2024 is at the lowest levels since 2003 and 2001, respectively. The estimate of SSB for 2024 is 150 kt which is above MSY Btrigger = 80kt (Figure 4.1). The residuals and retrospective patterns are shown in Figure 4.2 and 4.3.

Fbar increased from 2013 to 2019 and has fluctuated without a trend since then. It been above Fmsy since 2016.

Comparison with last year’s assessment (Figure 4.4)

The text table below compares this year’s estimates with last year’s estimates. Compared to last year the current estimates of the total stock (TSB) in 202 3 is 11 % lower, whereas the spawning stock (SSB) estimate is 19% lower. The Fbar in 2022 is estimated as higher compared to last year’s assessment. Current estimates for 202 3 for all ages except ages 3 and 4 were lower compared to last year’s assessment. Ratios are calculated on original numbers (not rounded as shown in table).

Number at age
Assessment year, model F (202 2 ) Numbers 2023 (ages) SSB (202 3 ) TSB (202 3 )
    3 4 5 6 7 8 9 10 11 12 13+    
2023 SAM 0.35 157204 28014 107132 112780 88935 17075 3594 1770 908 624 1227 210340 454403
2024 SAM 0.42 164015 30160 97785 107760 70973 10278 2712 1283 670 531 969 170118 404413
Ratio 2024/2023 1.21 1.04 1.08 0.91 0.96 0.80 0.60 0.75 0.72 0.74 0.85 0.79 0.81 0.89

Additional assessment methods (Table 4.15, Figure 4.5–Figure 4.6)

XSA (Figure 4.5)

The Extended Survivors Analysis (XSA) was used to tune the VPA by available index series. As last years, FLR was used for the assessment of haddock (see stock annex), and thus all results concerning XSA are obtained using FLR. The settings used were the same as set in the benchmark in 2015 (WKARCT 2015). At this meeting the comparison confirmed that usage XSA with survivor estimate shrinkage 0.5 gave similar result to the estimates from SAM.

The estimated consumption of NEA haddock by NEA cod is incorporated into the XSA analysis by first constructing a catch number-at-age matrix, adding the numbers of haddock eaten by cod to the catches for the years where such data are available (1984–2023). The summary of XSA stock estimates with shrinkage value 0.5 are presented in Table 4.15. A retrospective estimate for XSA gave same signals as for the main model SAM (Figure 4.5).

TISVPA (Figure 4.5)

The TISVPA (Triple Instantaneous Separable VPA) model (Vasilyev 2005, 2006) represents fishing mortality coefficients (more precisely – exploitation rates) as a product of three parameters: f(year)*s(age)*g(cohort). The generation‐dependent parameters, which are estimated within the model, are intended to adapt traditional separable representation of fishing mortality to situations when several year classes may have peculiarities in their interaction with fishing fleets caused by different spatial distribution, higher attractiveness of more abundant schools to fishers, or by some other reasons. The TISVPA model was presented at benchmark groups for haddock stock (WKARCT 2015, WKDEM, 2020) and it was decided to apply to NEA haddock using the same data as SAM except that natural mortality values from cannibalism were taken from the SAM runs. All the input data, including catch-at-age, weight-at-age in stock and in catches, maturity-at-age were the same as used in SAM. All results of model run presented in WD #5. Generally, the biomass estimates of this model were higher than SAM estimates, which can be explained by different assumptions about catchability of indices. The retrospective pattern for TISVPA shows the same trends as both the SAM and XSA models (Figure 4.5).

Model comparisons (Figure 4.6)

Results from SAM, XSA and TISVPA are compared in Figure 4.6. Comparison of results of SAM, TISVPA and XSA with previous year settings shows that the models estimate similar trends. The TISVPA model is more flexible for settings than the others and considering a possible decrease in survey data consistency, it was attempted to do tuning of surveys not at abundance but to age proportions because of the probable change in effective survey catchability.

Predictions, reference points and harvest control rules (Table 4.16–Table 4.21)

Recruitment (Table 4.16–Table 4.17)

SAM was used to estimate the recruitment at age 3 of the 2021 year-class in 2024. The RCT3 program (R version) was used to estimate the recruiting year classes 2022–2023 in 2025 and 2026 with survey data from the ecosystem survey and winter survey (acoustics and bottom trawl). Input data and results are shown in Tables 4.16 and 4.17, respectively.

The text table below shows the recruitment estimates for the year classes 2008–2023 from assessments and RCT3 forecasts (shaded cells). In the most recent years, it is noticeable that the 2018 year-class was less than 50% of the initial RCT3 estimate: The 2020 and 2021 year-classes were estimated by SAM to be more than 73% and 70% higher than the initial RCT3 estimate, respectively.

Recruitment estimates
Year Class Year of assessment, base model
2011 XSA 2012 XSA 2013 XSA 2014 XSA 2015 XSA 2015 SAM 2016 SAM 2017 SAM 2018 SAM 2019 SAM 2020 SAM 2021 SAM 2022 SAM 202 3 SAM 202 3 SAM
2008 120 151 155 169 178 89 157 107 109 110 122 117 119 118 117
2009 315 320 345 357 363 230 351 294 291 293 356 340 344 335 331
2010 188 146 137 146 150 100 133 105 105 106 124 119 120 118 117
2011   483 513 482 398 298 397 340 329 332 425 411 415 407 400
2012     124 145 104 78 73 79 70 68 75 72 73 73 72
2013       394 290 197 235 184 174 177 219 213 215 212 206
2014         279 198 247 189 146 148 202 194 198 195 191
2015             422 398 333 336 384 368 370 363 353
2016               1067 933 930 875 822 831 808 775
2017                 577 629 497 442 449 432 414
2018                   344 294 154 164 161 154
2019                     39 31 38 47 45
2020                       95 89 158 164
2021                         303 372 514
2022                           231 360
2023                             387

Prediction data (Table 4.18, Figure 4.7)

The input data for the prediction are presented in Table 4.18.

Stock numbers for 2025–2026 at age 3 are taken from RCT3, and abundance-at-ages 3–13+ in 2024 from the SAM assessment.

The average fishing pattern observed in 2021–2023 scaled to F in 2023 was used for distribution of fishing mortality-at-age for 2024–2026 (Figure 4.7). The proportion of M and F before spawning was set to 0.

Input data to projection of weight at age in the stock, weight at age in the catch, maturity and mortality followed the stock annex (WKDEM, 2020).

Biomass reference points (Figure 4.1)

Biological and fisheries reference points for NEA haddock were last set following a thorough analysis as part of the WKNEAMP-2 (ICES, 2016) Harvest Control Rule evaluation in 2016. The revised model developed during the 2020 benchmark produced better fits to the data but only a small change in the reconstructed stock (WKDEM, 2020). A brief analysis at WKDEM 2020 indicated that the reference points from the current model are very similar to the previously estimated values. Given the more thorough analysis at WKNEAMP-2 (ICES, 2016), this is taken as indicating that there was no evidence to deviate from the reference points set in 2016.

At the last benchmark (WKDEM 2020) it was proposed to keep Blim = 50 000 t and Bpa = 80 000 t with the rationale that Blim is equal to Bloss, and Bpa = Blim*exp (1.645*σ), where σ = 0.3. This gives a 95% probability of maintaining SSB above Blim taking into account the uncertainty in the assessments and stock dynamics. BMSY trigger was proposed equal to Bpa, Btrigger was then selected as a biomass that is encountered with low probability if FMSY is implemented, as recommended by WKFRAME2 (ICES CM 2011/ACOM:33). Values of reference points compared with current stock values are reflected in Figure 4.1.

Fishing mortality reference points (Figure 4.1)

Biological and fisheries reference points for NEA haddock were last set following a thorough analysis as part of the WKNEAMP-2 (ICES, 2016) Harvest Control Rule evaluation in 2016. The revised model developed during the 2020 benchmark produced better fits to the data but only a small change in the reconstructed stock (ICES WKDEM 2020). A brief analysis at WKDEM 2020 indicated that the reference points from the current model are very similar to the previously estimated values. Given the more thorough analysis at WKNEAMP-2 (ICES, 2016), this is taken as indicating that there was no evidence to deviate from the reference points set in 2016.

There is no standard method of estimating Flim nor Fpa, and ACOM accepted to use geometric mean recruitment (146 million) and Blim as basis for the Flim estimate. Flim is then based on the slope of line from origin at SSB = 0 to the geometric mean recruitment (146 million) and SSB = Blim. The SPR value of this slope give Flim value on SPR curve; Flim = 0.77 (found using Pasoft). Using the same approach as for Bpa; Fpa = Flim*exp(-1.645*σ) = 0.47.

FMSY = 0.35 has been estimated by long-term stochastic simulations. Values of reference points compared with current stock values are reflected in Figure 4.1.

The estimates of cod’s consumption of haddock were revised following the cod benchmark in early 2021. At the AFWG 2021 meeting, the haddock FMSY was checked with the new updated mortality estimates and found to still be valid and precautionary.

Harvest control rule

The harvest control rule (HCR) was evaluated by ICES in 2007 (ICES CM 2007/ACFM:16) and found to be in agreement with the precautionary approach. The agreed HCR for haddock with last modifications is as follows (Protocol of the 40th Session of The Joint Norwegian Russian Fisheries Commission (JNRFC), 14 October 2011):

  • TAC for the next year will be set at level corresponding to FMSY.

  • The TAC should not be changed by more than +/- 25% compared with the previous year TAC.

  • If the spawning stock falls below Bpa, the procedure for establishing TAC should be based on a fishing mortality that is linearly reduced from FMSY at Bpa to F = 0 at SSB equal to zero. At SSB-levels below Bpa in any of the operational years (current year and a year ahead) there should be no limitations on the year-to-year variations in TAC.

As mentioned above Flim and Fpa were revised in 2011. The new values of Flim = 0.77 and Fpa = 0.47 are higher than the previous values (0.49 and 0.35, respectively). In the 2012 meeting of the JNRFC the proposals of ICES were accepted, and the current HCR management is based on FMSY instead of Fpa. This corresponds to the goal of the management strategy for this stock and should provide maximum sustainable yield.

In 2014, JNRFC decided that from 2015 onwards, Norway and Russia can transfer to next year or borrow from last year maximum 10% of the country’s quota. At its 45th session in October 2015, the Joint Norwegian-Russian Fisheries Commission (JNRFC) decided that a number of alternative harvest control rules (HCRs) for Northeast Arctic haddock should be evaluated by ICES. This was done by WKNEAMP (ICES 2015/ACOM:60, ICES C. M. 2016/ACOM:47). Six HCRs for NEA haddock including the existing one were tested. At its 46th session in October 2016, the JNRFC decided not to change the HCR.

Prediction results and catch options for 2025 (Table 4.19–Table 4.20)

The projection shows a decrease in SSB from 150 kt in 2024 to 128 kt in 2025 (Table 4.19). F corresponding to TAC constraint is used for 2024. The TAC set by the Joint Norwegian-Russian Fisheries Commission was 141 kt, which is 10% higher than the advice and not in accordance with the HCR.

 

Catch options for 2025 are shown in the text table below (weights in tonnes).
Basis Total catch (2025) F ages 4−7 (2025) SSB (2026) % SSB change * % TAC change ** % Advice change ***
Advice basis
Management plan 106 912 0.35 148 477 16 -24 -16
Other scenarios            
MSY approach: FMSY 106 912 0.35 148 477 16 -24 -16
F = 0 0 0.00 202 674 58 -100 -100
F = F2024 142 841 0.493 131 783 3 1 12
Fpa 137 261 0.47 134 320 5 -3 8
Flim 202 346 0.77 106 114 -17 44 59

* SSB 2026 relative to SSB 2025.

** Catch in 2025 relative to TAC in 2024 ( 141000 t)

*** Catch value for 2025 relative to advice value for 2024 ( 127550 t)

Detailed information about expected catches by following the HCR in 2025 and 2026 is given in Table 4.20. The forecast covers all catches. It is then implied that all types of catches are to be counted against this TAC.

Comments to the assessment and predictions (Figure 4.2-4.4 and Figure 4.7- Figure 4.10)

The one step ahead residuals did not show strong patterns. However, there were negative residuals in the last year for important ages for both catches and the ecosystem survey data (Fleet 007) (Figure 4.2). The leave one out analysis did not result in any large changes to the results (maximum change: 10% larger SSB 2024 leave out BS-NoRu-Q1 (Aco)). A jitter analysis did not reveal any problems with model optimization.

This year’s assessment showed a downwards revision for the SSB and TSB and an upwards revision for Fbar4-7, most apparent back to 2018 (Figure 4.4). The estimates ages >4 years in 2023 was revised down from the 2023 assessment. Mohn’s Rho increased compared to the years following the benchmark, especially for SSB.

Mohns rho
Retrospective bias (Mohn’s Rho), 5-year peel R SSB F TSB
AFWG 2018 3% 24% 7% 14%
AFWG 2019 5% 18% 7% 7%
WKDEM 2020 (Benchmark) 2% 3% 3% 1%
AFWG 2020 4% 3% 0% 5%
AFWG 2021 1% 6% 7% 3%
JRN_AFWG 2022 -2% 5% -6% 1%
JRN_AFWG 2023 0% 7% -6% 3%
JRN_AFWG 2024 4% 17% -13% 12%

Fishing mortality (Fbar4-7) has been above Fmsy since 2013. The assessments from 2017 to 2019 on which the TAC advice for 2018-2020 were based, had large positive retrospective biases for TSB and SSB (see text table above), implying that the stock sizes were overestimated. The retrospective bias was reduced after the revision at the 2020 benchmark (WKDEM 2020). In the current assessment, F in 2021 was revised upwards for most ages (Figure 4.7).

According to this year’s assessment, the 2016 year-class is the sixth strongest year class in the time-series back to 1950. The 2015 and 2017 year-classes were above average (average 1950-2024, R3=258 million individuals). These year classes are soon going to be fished out of the stock, but we assume that they will contribute 47% to the catch in biomass in 2024 and 23% in 2025 (Figure 4.10). The 2018 -2020 year-classes are weak. The 2021 year-class is above average and will enter the fishery this year and was also in the catch data last year as 2-year-old (Figure 4.8). The 2022 and 2023 year-classes are predicted to be above average.

In both 2022 and 2023 the fishing pattern was distributed more towards younger fishes in the catches than what we predicted (Figure 4.8). If this trend continues this will lead to growth overfishing. Fishing out haddock before they reach their full growth potential and before they reach maturity will reduce yield and SSB in the coming years (Figure 4.9 and 4.10). Therefore, it is critical that area closures to avoid by-catch of under-sized fish are implemented. Caution should be raised since the stock size has been over-estimated in the recent assessments (Figure 4.3).

References

Berg CW and Nielsen A. 2016. Accounting for correlated observations in an age-based state-space stock assessment model. ICES Journal of Marine Science, 73: 1788–1797.

Breivik ON, Nielsen A and Berg CW 2021. Prediction–variance relation in a state-space fish stock assessment model. ICES Journal of Marine Science, 78, 3650–3657

Fall, J., Wenneck, T. de Lange, Bogstad, B., Eidset, E., Fuglebakk, E., Godiksen, J. A., Høines, Å., Johannesen, E., Midtun, H. Aa., Moksness, I., Skage, M. L., Staby, A., Tranang, C. Aa., Windsland, K., Russkikh, A. A., and Kharlin, S. 2024. Fish investigations in the Barents Sea winter 2023. IMR-PINRO Joint Report Series 1-2024, 144 pp.

ICES 2006a. ICES Workshop on Biological Reference Points for North East Arctic Haddock (WKHAD). Svanhovd, Norway, 6-10 March 2006. ICES C.M. 2006/ACFM:19, 102 pp.

ICES 2006b. Report of the Arctic Fisheries Working Group, 19-28 April. 2006. ICES C.M. 2006/ACFM:25, 594 pp.

ICES 2011. Report of the Benchmark Workshop on Roundfish and Pelagic Stocks, Lisbon 24-31 January 2011. ICES C.M. 2011/ACOM:38, 418 pp.

ICES 2015. Report of the first Workshop on Management Plan Evaluation on Northeast Arctic cod and haddock and Barents Sea capelin ( WKNEAMP-1) , , . ICES CM 2015/ACOM:60, 27 pp.

ICES 2016. Report of the second Workshop on Management Plan Evaluation on Northeast Arctic cod and haddock and Barents Sea capelin (WKNEAMP-2) , 25-28 January 2016, Kirkenes, Norway. ICES CM 2016/ACOM:47, 76 pp.

ICES. 2015. Report of the Benchmark Workshop on Arctic Stocks (WKARCT), 26-30 January 2015, ICES Headquarters, Denmark. ICES CM 2015\ACOM:31. 126 pp.

ICES 2020. Report of the Arctic Fisheries Working Group (AFWG). ICES Scientific Reports. 2:52. 577 pp.

Johnsen E, Totland A , Skålevik Å , et al. 2019. StoX: An open source software for marine survey analyses. Methods in Ecology and Evolution 2019; 10: 1523 – 1528.https://doi.org/10.1111/2041-210X.13250

Prozorkevich D and Gjøsæter H 2014. WD_02 cod BESS_assessment. AFWG 2014.

Vasilyev D. 2005 Key aspects of robust fish stock assessment. M: VNIRO Publishing, 2005. 105 p.

Vasilyev D. 2006. Change in catchability caused by year class peculiarities: how stock assessment based on separable cohort models is able to take it into account? (Some illustrations for triple‐separable case of the ISVPA model ‐ TISVPA). ICES CM 2006/O:18. 35 pp

WKDEM 2020. Benchmark Workshop for Demersal Species (WKDEM). ICES Scientific Reports. 2:31. 136 pp. http://doi.org/10.17895/ices.pub.5548

Year Subarea 1 Division 2.a Division 2.b un-reported2) Total3) Norw. stat.areas 06 and 074)
1960 125026 27781 1844 - 154651 6000
1961 165156 25641 2427 - 193224 4000
1962 160561 25125 1723 - 187409 3000
1963 124332 20956 936 - 146224 4000
1964 79262 18784 1112 - 99158 6000
1965 98921 18719 943 - 118583 6000
1966 125009 35143 1626 - 161778 5000
1967 107996 27962 440 - 136398 3000
1968 140970 40031 725 - 181726 3000
1969 89948 40306 566 - 130820 2000
1970 60631 27120 507 - 88258 -
1971 56989 21453 463 - 78905 -
1972 221880 42111 2162 - 266153 -
1973 285644 23506 13077 - 322227 -
1974 159051 47037 15069 - 221157 10000
1975 121692 44337 9729 - 175758 6000
1976 94054 37562 5648 - 137264 2000
1977 72159 28452 9547 - 110158 2000
1978 63965 30478 979 - 95422 2000
1979 63841 39167 615 - 103623 6000
1980 54205 33616 68 - 87889 5098
1981 36834 39864 455 - 77153 4767
1982 17948 29005 2 - 46955 3335
1983 5837 16859 1904 - 24600 3112
1984 2934 16683 1328 - 20945 3803
1985 27982 14340 2730 - 45052 3583
1986 61729 29771 9063 - 100563 4021
1987 97091 41084 16741 - 154916 3194
1988 45060 49564 631 - 95255 3756
1989 29723 28478 317 - 58518 4701
1990 13306 13275 601 - 27182 2912
1991 17985 17801 430 - 36216 3045
1992 30884 28064 974 - 59922 5634
1993 46918 32433 3028 - 82379 5559
1994 76748 50388 8050 - 135186 6311
1995 75860 53460 13128 - 142448 5444
1996 112749 61722 3657 - 178128 5126
1997 78128 73475 2756 - 154359 5987
1998 45640 53936 1054 - 100630 6338
1999 38291 40819 4085 - 83195 5743
2000 25931 39169 3844 - 68944 4536
2001 35072 47245 7323 - 89640 4542
2002 40721 42774 12567 18736/5310 114798/101372 6898
2003 53653 43564 8483 33226/9417 138926/115117 4279
2004 64873 47483 12146 33777/8661 158279/133163 3743
2005 53518 48081 16416 40283/9949 158298/127964 5538
2006 51124 47291 33291 21451/8949 153157/140655 5410
2007 62904 58141 25927 14553/3102 161525/150074 7110
2008 58379 60178 31219 5828/- 155604/149776 6629
2009 57723 66045 76293 0 200061 4498
2010 62604 86279 100318 0 249200 3661
2011 86931 99307 123546 0 309785 4169
2012 90141 96807 128679 0 315627 3869
2013 68416 64810 60520 0 193744 4000
2014 61537 58320 57665 0 177522 3433
2015 75195 61567 57993 0 194756 3902
2016 78714 95140 59561 0 233416 3233
2017 94772 75455 57362 0 227589 2987
2018 80902 58522 51853 0 191276 4437
2019 87446 50967 36989 0 175402 2812
2020 98341 57397 26730 0 182468 3196
2021 109914 58006 36823 0 204743 2363
2022 85887 63415 27604 0 176906 2255
2023(1 92760 70916 15223 0 178899 2693
Table 4.1. Northeast Arctic haddock. Total nominal catch (t) by fishing areas.

1) Provisional figures, preliminary catches estimated by JRN AFWG in May 2024

2) Figures based on Norwegian/Russian IUU estimates. From 2009, IUU estimates are made by a Joint Russian-Norwegian analysis group under the Russian-Norwegian Fisheries Commission.

3) In 2002–2008, the Norwegian IUU estimates were used in final assessment.

4) Included in total landings and in landings in region 2.a.

  Subarea 1 Division 2.a Division 2.b Unreported2
Year Trawl Others Trawl Others Trawl Others  
1967 73.7 34.3 20.5 7.5 0.4 - -
1968 98.1 42.9 31.4 8.6 0.7 - -
1969 41.4 47.8 33.2 7.1 1.3 - -
1970 37.4 23.2 20.6 6.5 0.5 - -
1971 27.5 29.2 15.1 6.7 0.4 - -
1972 193.9 27.9 34.5 7.6 2.2 - -
1973 242.9 42.8 14 9.5 13.1 - -
1974 133.1 25.9 39.9 7.1 15.1 - -
1975 103.5 18.2 34.6 9.7 9.7 - -
1976 77.7 16.4 28.1 9.5 5.6 - -
1977 57.6 14.6 19.9 8.6 9.5 - -
1978 53.9 10.1 15.7 14.8 1 - -
1979 47.8 16 20.3 18.9 0.6 - -
1980 30.5 23.7 14.8 18.9 0.1 - -
1981 18.8 17.7 21.6 18.5 0.5 - -
1982 11.6 11.5 23.9 13.5 - - -
1983 3.6 2.2 8.7 8.2 0.2 1.7 -
1984 1.6 1.3 7.6 9.1 0.1 1.2 -
1985 24.4 3.5 6.2 8.1 0.1 2.6 -
1986 51.7 10.1 14 15.8 0.8 8.3 -
1987 79 18.1 23 18.1 3 13.8 -
1988 28.7 16.4 34.3 15.3 0.6 0 -
1989 20 9.7 13.5 15 0.3 0 -
1990 4.4 8.9 5.1 8.2 0.6 0 -
1991 9 8.9 8.9 8.9 0.2 0.2 -
1992 21.3 9.6 11.9 16.1 1 0 -
1993 35.3 11.6 14.5 17.9 3 0 -
1994 58.6 18.2 26.1 24.3 7.9 0.2 -
1995 63.9 12 29.6 23.8 12.1 1 -
1996 98.3 14.4 36.5 25.2 3.4 0.3 -
1997 57.4 20.7 44.9 28.6 2.5 0.3 -
1998 26 19.6 27.1 26.9 0.7 0.3 -
1999 29.4 8.9 19.1 21.8 4 0.1 -
2000 20.1 5.9 18.8 20.4 3.7 0.1 -
2001 28.4 6.7 23.4 23.8 7 0.3 -
2002 30.5 10.2 19.5 23.3 12.5 0.1 18.7/5.3
2003 42.7 10.9 21.9 21.7 8.1 0.4 33.2/9.4
2004 52.4 12.5 27 20.5 11.5 0.6 33.8/8.7
2005 38.5 15 24.9 20.9 13 1.6 40.3/9.9
2006 40.1 11 22 25.3 30.1 3.2 21.5/8.9
2007 51.8 11.1 30.5 27.7 20.4 5.5 14.6/3.1
2008 46.8 11.6 30.9 29.3 24.9 6.3 5.8/-
2009 49 8.8 40.1 25.3 67.1 7.8 0
2010 43.6 19 50 35.7 87 10.4 0
2011 55.8 31.1 61.1 38.9 107.7 14.3 0
2012 58.8 31.3 57.5 39.2 103.2 24.8 0
2013 40.1 28.3 37.7 26.9 52.1 8.1 0
2014 35.2 26.3 32.5 25.8 49 8.6 0
2015 49.1 26.1 34.6 27 48.5 9.4 0
2016 56.4 22.3 62.5 32.5 45.4 14.1 0
2017 65 29.8 50.7 24.7 47.1 10.3 0
2018 51.7 29.2 36.9 21.6 43.2 8.6 0
2019 53.9 33.5 30.4 20.4 31.0 5.9 0
2020 66.7 31.6 35.1 22.3 23.2 3.5 0
2021 81.4 28.5 41.0 17.0 31.0 5.8 0
2022 63.4 22.5 44.7 18.7 22.1 5.5 0
2023 (1 69.6 23.2 51.7 19.2 11.1 4.1 0
Table 4.2. Northeast Arctic haddock. Total nominal catch (‘000 t) by trawl and other gear for each area.

1) Provisional

2) Figures based on Norwegian/Russian IUU estimates.

Year Faroe Islands France GDR (–1990) & Greenland (1992–) Germany Norway4 Poland UK Russia2 Others Total3
1960 172 - - 5597 46263 - 45469 57025 125 154651
1961 285 220 - 6304 60862 - 39650 85345 558 193224
1962 83 409 - 2895 54567 - 37486 91910 58 187408
1963 17 363 - 2554 59955 - 19809 63526 - 146224
1964 - 208 - 1482 38695 - 14653 43870 250 99158
1965 - 226 - 1568 60447 - 14345 41750 242 118578
1966 - 1072 11 2098 82090 - 27723 48710 74 161778
1967 - 1208 3 1705 51954 - 24158 57346 23 136397
1968 - - - 1867 64076 - 40129 75654 - 181726
1969 2 - 309 1490 67549 - 37234 24211 25 130820
1970 541 - 656 2119 37716 - 20423 26802 - 88257
1971 81 - 16 896 45715 43 16373 15778 3 78905
1972 137 - 829 1433 46700 1433 17166 196224 2231 266153
1973 1212 3214 22 9534 86767 34 32408 186534 2501 322226
1974 925 3601 454 23409 66164 3045 37663 78548 7348 221157
1975 299 5191 437 15930 55966 1080 28677 65015 3163 175758
1976 536 4459 348 16660 49492 986 16940 42485 5358 137264
1977 213 1510 144 4798 40118 - 10878 52210 287 110158
1978 466 1411 369 1521 39955 1 5766 45895 38 95422
1979 343 1198 10 1948 66849 2 6454 26365 454 103623
1980 497 226 15 1365 66501 - 2948 20706 246 92504
1981 381 414 22 2402 63435 Spain 1682 13400 - 81736
1982 496 53 - 1258 43702 - 827 2900 - 49236
1983 428 - 1 729 22364 139 259 680 - 24600
1984 297 15 4 400 18813 37 276 1103 - 20945
1985 424 21 20 395 21272 77 153 22690 - 45052
1986 893 12 75 1079 52313 22 431 45738 - 100563
1987 464 7 83 3105 72419 59 563 78211 5 154916
1988 1113 116 78 1323 60823 72 435 31293 2 95255
1989 1217 - 26 171 36451 1 590 20062 - 58518
1990 705 - 5 167 20621 - 494 5190 - 27182
1991 1117 - Greenland 213 22178 - 514 12177 17 36216
1992 1093 151 1719 387 36238 38 596 19699 1 59922
1993 546 1215 880 1165 40978 76 1802 35071 646 82379
1994 2761 678 770 2412 71171 22 4673 51822 877 135186
1995 2833 598 1097 2675 76886 14 3111 54516 718 142448
1996 3743 6 1510 942 94527 669 2275 74239 217 178128
1997 3327 540 1877 972 103407 364 2340 41228 304 154359
1998 1903 241 854 385 75108 257 1229 20559 94 100630
1999 1913 64 437 641 48182 652 694 30520 92 83195
2000 631 178 432 880 42009 502 747 22738 827 68944
2001 1210 324 553 554 49067 1497 1068 34307 1060 89640
2002 1564 297 858 627 52247 1505 1125 37157 682 114798
2003 1959 382 1363 918 56485 1330 1018 41142 1103 138926
2004 2484 103 1680 823 62192 54 1250 54347 1569 158279
2005 2138 333 15 996 60850 963 1899 50012 1262 158751
2006 2390 883 1830 989 69272 703 1164 53313 1162 153157
2007 2307 277 1464 1123 71244 125 1351 66569 2511 161525
2008 2687 311 1659 535 72779 283 971 68792 1759 155604
2009 2820 529 1410 1957 104354 317 1315 85514 1845 200061
2010 3173 764 1970 3539 123384 379 1758 111372 2862 249200
2011 1759 268 2110 1724 158202 502 1379 139912 4763 309785
2012 2055 322 3984 1111 159602 441 833 143886 3393 315627
2013 1886 342 1795 500 99215 439 639 85668 3260 193744
2014 1470 198 1150 340 91306 187 355 78725 3791 177522
2015 2459 145 1047 124 95094 246 450 91864 3327 194756
2016 2460 340 1401 170 108718 200 575 115710 3838 233416
2017 2776 108 1810 170 113132 228 372 106714 2279 227588
2018 2333 183 1317 385 93839 169 453 90486 2173 191276
2019 1515 143 1208 204 93860 280 456 76125 1611 175402
2020 1392 96 910 282 88108 45 320 89030 2286 182468
2021 1722 105 1101 365 100673 131 78 98296 2390 204743
2022 1831 164 1101 268 89044 99 138 82364 1897 176906
2023 (1 1993 235 672 296 91325 139 112 81751 2376 178899
Table 4.3 Northeast Arctic haddock. Nominal catch (t) by countries. Subarea 1 and divisions 2.a and 2.b combined. (Data provided by Working Group members).

1) Provisional figures, preliminary catches estimated by JRN AFWG in May 2024., 2) USSR prior to 1991, 3) Figures based on Norwegian IUU estimates in 2002–2008 (see table 4.1), 4) Included landings in Norwegian statistical areas 06 and 07 (from 1983)

Year 1 2 3 4 5 6 7 8 9 10 11 12 13+
1950 0 4446 3189 37949 35344 18849 28868 9199 1979 1093 853 867 1257
1951 4069 222 65643 9178 18014 13551 6808 6850 3322 1182 734 178 436
1952 0 13674 6012 151996 13634 9850 4693 3237 2434 606 534 185 161
1953 392 8031 64528 13013 70781 5431 2867 1080 424 315 393 202 410
1954 1726 493 6563 154696 5885 27590 3233 1302 712 319 126 68 349
1955 0 989 1154 10689 176678 4993 28273 1445 271 100 50 30 20
1956 97 3012 16437 5922 14713 127879 3182 8003 450 200 80 60 45
1957 828 243 2074 24704 7942 12535 46619 1087 1971 356 17 40 119
1958 153 2312 1727 5914 31438 5820 12748 17565 822 1072 226 79 296
1959 169 2425 20318 7826 7243 14040 3154 2237 5918 285 316 71 113
1960 2319 3613 39910 70912 13647 7101 6236 1579 2340 2005 497 70 42
1961 362 5531 15429 56855 63351 8706 3578 4407 788 527 1287 67 80
1962 0 4524 39503 30868 48903 33836 3201 1341 1773 242 247 483 28
1963 3 2143 28466 72736 18969 13579 9257 1239 559 409 80 84 212
1964 149 834 22363 49290 30672 5815 3527 2716 833 104 206 235 190
1965 0 3498 5936 46356 40201 12631 1679 974 897 123 204 123 471
1966 0 2577 26345 22631 63176 29048 5752 582 438 189 186 25 30
1967 0 53 15907 41346 13496 25719 8872 1616 218 175 155 75 41
1968 0 33 657 67632 41267 7748 15599 5292 655 182 101 115 70
1969 0 1061 1524 1968 44634 19002 3620 4937 1628 316 43 43 23
1970 480 281 23444 2454 1906 22417 8100 2012 2016 740 166 26 96
1971 15 3535 1978 24358 1257 918 9279 3056 826 1043 369 130 35
1972 133 9399 230942 22315 42981 3206 1611 6758 2638 900 989 538 120
1973 0 5956 70679 260520 24180 6919 422 426 1692 529 147 339 95
1974 281 3713 9685 41706 88120 5829 4138 382 618 2043 935 276 659
1975 1321 4355 10037 14088 33871 49711 2135 1236 92 131 500 147 287
1976 3475 7499 13994 13454 6810 20796 40057 1247 1350 193 280 652 671
1977 184 18456 55967 22043 7368 2586 7781 11043 311 388 96 101 182
1978 46 2033 47311 18812 4076 1389 1626 2596 6215 162 258 3 139
1979 0 48 17540 35290 10645 1429 812 546 1466 2310 181 87 55
1980 0 0 627 22878 21794 2971 250 504 230 842 1299 111 50
1981 1 68 486 2561 22124 10685 1034 162 162 72 330 564 69
1982 2 29 883 900 3372 12203 2625 344 75 80 91 321 238
1983 3 351 1173 2636 1360 2394 2506 1799 267 37 60 100 132
1984 7 754 1271 1019 1899 657 950 2619 352 87 2 22 53
1985 4 2952 29624 1695 564 1009 943 886 1763 588 124 64 93
1986 506 650 23113 68429 1565 783 896 393 702 1144 443 130 414
1987 9 83 5031 87170 64556 960 597 376 212 230 419 245 73
1988 7 139 1439 12478 47890 20429 397 178 74 88 168 198 80
1989 611 221 2157 4986 16071 25313 3198 147 1 28 28 53 96
1990 2 446 1015 2580 2142 4046 6221 840 134 42 14 13 44
1991 23 533 4421 3564 2416 3299 4633 3953 461 83 9 18 27
1992 49 2793 11571 11567 4099 2642 2894 3327 3498 486 35 32 18
1993 498 272 13487 19457 13704 4103 1747 1886 2105 1965 201 96 25
1994 95 187 3374 47821 36333 13264 2057 903 1453 2769 1802 259 49
1995 2 85 2003 16109 72644 19145 6417 746 361 770 655 804 116
1996 35 478 1662 6818 36473 73579 13426 2944 573 365 533 598 767
1997 70 94 2280 5633 12603 32832 49478 5636 778 245 126 158 463
1998 547 1476 1701 11304 9258 8633 13801 19469 2113 330 59 54 377
1999 104 568 16839 8039 15365 6073 4466 6355 6204 647 117 109 220
2000 46 692 1520 29986 6496 5149 2406 1657 1570 1744 183 70 184
2001 374 1758 12971 5230 32049 5279 2941 1137 1161 1169 747 169 288
2002 59 603 7132 46335 11084 21985 2602 1602 482 448 581 349 98
2003 123 611 6803 31448 56480 11736 14541 1637 2178 858 411 413 395
2004 58 1295 7993 21116 41310 41226 4939 4914 598 1252 296 139 465
2005 102 865 11452 19369 22887 37067 24461 2393 2997 990 201 263 1059
2006 271 2496 4539 35040 27571 15033 16023 8567 1259 1298 222 175 321
2007 575 3914 30707 15213 45992 18516 10642 7889 2570 678 605 197 185
2008 440 2089 14536 44192 15926 31173 9145 4520 2846 1181 274 214 166
2009 483 1364 15379 55013 52498 13679 15382 3800 1669 887 285 353 321
2010 457 620 6545 52006 80622 50306 9273 5324 1954 1114 533 242 621
2011 909 806 1277 8501 90394 100522 39496 4397 2340 668 437 269 708
2012 268 611 7814 4206 18007 93055 82721 14445 1325 448 217 216 568
2013 402 904 1778 12780 3805 12297 58024 29930 4976 957 331 212 535
2014 528 649 6948 4503 14563 6833 16304 39620 16439 2431 619 440 545
2015 303 1334 1645 27317 8526 16624 7950 20538 25534 6677 1556 295 312
2016 294 655 5774 3482 33177 9563 18045 12030 21875 13492 4757 876 248
2017 724 1898 30744 46463 16895 48927 10518 14992 9 485 8447 6 640 1872 317
2018 679 1438 9424 16291 34060 8466 18882 5123 8902 4125 3564 4504 1040
2019 797 968 13908 28572 24171 32555 6278 6803 2601 3618 1225 1715 1400
2020 122 1298 10797 62206 46715 18137 10773 3051 2839 1445 996 915 1092
2021 263 641 2882 31573 99086 31202 7412 3595 1985 1161 814 802 966
2022 49 752 2836 18050 50522 55469 11172 2368 1016 544 285 335 479
2023 60 6615 10603 8935 29024 46726 27135 3052 888 337 175 222 313
Table 4.4. Northeast Arctic haddock. Catch numbers-at-age (numbers, ´000).
Year 1 2 3 4 5 6 7 8 9 10 11 12 13+
1950 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1951 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1952 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1953 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1954 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1955 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1956 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1957 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1958 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1959 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1960 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1961 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1962 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1963 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1964 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1965 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1966 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1967 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1968 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1969 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1970 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1971 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1972 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1973 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1974 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1975 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1976 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1977 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1978 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1979 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1980 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1981 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1982 0.299 0.519 0.75 1.038 1.321 1.617 1.873 2.147 2.418 2.698 2.931 3.094 3.461
1983 0.188 0.689 1.033 1.408 1.71 2.149 2.469 2.748 3.069 3.687 4.516 3.094 3.461
1984 0.408 0.805 1.218 1.632 2.038 2.852 2.845 3.218 3.605 4.065 4.407 4.734 5.099
1985 0.319 0.383 0.835 1.29 1.816 2.174 2.301 2.835 3.253 3.721 4.084 4.137 4.926
1986 0.218 0.325 0.612 1.064 1.539 1.944 2.362 2.794 3.25 3.643 4.14 4.559 5.927
1987 0.143 0.221 0.497 0.765 1.179 1.724 2.135 2.551 3.009 3.414 3.84 4.415 5.195
1988 0.279 0.551 0.55 0.908 1.097 1.357 1.537 1.704 2.403 2.403 2.486 2.531 2.834
1989 0.258 0.55 0.684 0.84 0.998 1.176 1.546 1.713 1.949 2.14 2.389 2.522 2.797
1990 0.319 0.601 0.793 1.172 1.397 1.624 1.885 2.112 2.653 3.102 3.18 3.438 3.319
1991 0.216 0.616 0.941 1.281 1.556 1.797 2.044 2.079 2.311 2.788 3.408 2.896 3.274
1992 0.055 0.458 0.906 1.263 1.535 1.747 2.043 2.2 2.298 2.494 2.49 2.673 2.923
1993 0.381 0.64 0.94 1.204 1.487 1.748 1.994 2.237 2.417 2.654 2.906 3.184 3.363
1994 0.278 0.521 0.614 0.906 1.287 1.602 1.968 2.059 2.39 2.545 2.881 2.918 3.222
1995 0.258 0.446 0.739 0.808 1.107 1.556 1.838 2.234 2.416 2.602 2.965 3.163 3.786
1996 0.287 0.427 0.683 0.868 1.045 1.363 1.71 1.886 2.214 2.37 2.438 2.707 2.896
1997 0.408 0.575 0.682 1.028 1.151 1.369 1.637 1.856 2.073 2.5 2.279 2.532 2.609
1998 0.409 0.593 0.748 0.974 1.262 1.433 1.641 1.863 2.069 2.335 2.511 2.8 2.849
1999 0.435 0.695 0.826 1.079 1.261 1.485 1.634 1.798 2.032 2.237 2.339 2.611 2.865
2000 0.378 0.577 0.853 1.186 1.395 1.588 1.808 1.989 2.264 2.415 2.587 2.647 3.098
2001 0.391 0.647 0.751 1.104 1.459 1.709 1.921 2.182 2.331 2.609 2.757 3.376 3.338
2002 0.159 0.407 0.687 1.001 1.363 1.643 1.975 2.086 2.294 2.487 2.612 2.847 3.501
2003 0.198 0.384 0.594 0.875 1.113 1.364 1.361 1.972 1.636 1.877 2.088 2.351 2.842
2004 0.328 0.429 0.636 0.886 1.183 1.508 1.821 2.075 2.339 2.58 2.527 3.153 3.197
2005 0.285 0.492 0.722 0.906 1.121 1.343 1.619 2.036 2.177 2.382 2.527 2.496 2.81
2006 0.311 0.567 0.745 1.041 1.287 1.504 1.72 2.082 2.377 2.738 3.082 3.02 3.43
2007 0.329 0.431 0.652 0.899 1.197 1.435 1.722 1.99 2.309 2.715 2.987 2.947 3.591
2008 0.383 0.484 0.658 0.901 1.242 1.515 1.781 2.18 2.33 2.664 3.019 3.326 3.829
2009 0.378 0.508 0.707 1.024 1.28 1.538 1.806 2.107 2.398 2.531 2.606 3.089 3.541
2010 0.317 0.499 0.642 0.887 1.137 1.396 1.702 1.907 2.095 2.404 2.534 3.064 3.249
2011 0.423 0.513 0.811 0.953 1.093 1.254 1.462 1.715 1.978 2.328 2.305 2.55 2.76
2012 0.271 0.506 0.756 1.004 1.174 1.371 1.514 1.715 2.051 2.444 2.414 2.615 2.932
2013 0.469 0.542 0.821 1.014 1.217 1.401 1.571 1.714 1.914 2.168 2.24 2.516 2.807
2014 0.469 0.645 0.792 1.033 1.253 1.417 1.625 1.793 1.941 2.081 2.479 2.703 3.011
2015 0.473 0.647 0.876 1.054 1.327 1.571 1.777 1.934 2.025 2.216 2.481 2.99 3.455
2016 0.497 0.743 0.882 1.115 1.369 1.662 1.917 2.089 2.301 2.567 3.076 3.286 3.331
2017 0.449 0.608 0.874 1.088 1.378 1.666 1.879 2.146 2.258 2.476 2.72 2.98 3.713
2018 0.443 0.663 0.820 1.051 1.339 1.629 1.927 2.156 2.372 2.588 2.728 2.773 3.175
2019 0.341 0.508 0.729 0.955 1.275 1.581 1.834 2.151 2.378 2.607 2.868 2.934 3.382
2020 0.364 0.523 0.629 0.788 1.131 1.489 1.821 2.126 2.426 2.651 2.771 3.147 3.359
2021 0.257 0.445 0.57 0.773 0.997 1.351 1.716 2.15 2.388 2.682 3.073 3.201 4.139
2022 0.175 0.436 0.642 0.808 1.093 1.329 1.651 2.031 2.473 2.727 3.000 3.278 4.297
2023 0.248 0.394 0.684 1.02 1.203 1.458 1.673 1.98 2.334 2.676 3.122 3.223 3.849
Table 4.5. Northeast Arctic haddock. Catch weights-at-age (kg).
Year 1 2 3 4 5 6 7 8 9 10 11 12 13+
1950-1979 0.031 0.145 0.354 0.653 1.016 1.427 1.867 2.327 2.771 3.195 3.597 3.597 3.597
1980 0.063 0.262 0.454 0.878 1.159 1.675 2.292 3.134 3.31 3.553 3.792 3.792 3.792
1981 0.051 0.274 0.603 0.805 1.315 1.582 2.118 2.728 3.51 3.679 3.904 3.904 3.904
1982 0.036 0.224 0.631 1.049 1.217 1.782 2.017 2.553 3.14 3.853 4.016 4.016 4.016
1983 0.035 0.164 0.524 1.098 1.558 1.663 2.255 2.448 2.97 3.524 4.165 4.165 4.165
1984 0.028 0.158 0.391 0.926 1.632 2.093 2.121 2.718 2.865 3.363 3.878 3.878 3.878
1985 0.03 0.127 0.379 0.700 1.394 2.195 2.626 2.572 3.158 3.261 3.728 3.728 3.728
1986 0.035 0.136 0.311 0.682 1.069 1.898 2.761 3.138 3.005 3.568 3.632 3.632 3.632
1987 0.042 0.161 0.331 0.569 1.047 1.473 2.411 3.307 3.616 3.412 3.946 3.946 3.946
1988 0.039 0.189 0.383 0.603 0.887 1.452 1.895 2.915 3.822 4.054 3.787 3.787 3.787
1989 0.037 0.175 0.445 0.689 0.936 1.248 1.878 2.317 3.395 4.297 4.449 4.449 4.449
1990 0.031 0.169 0.413 0.789 1.054 1.312 1.635 2.308 2.728 3.844 4.73 4.73 4.73
1991 0.025 0.141 0.402 0.737 1.193 1.458 1.714 2.035 2.732 3.122 4.256 4.256 4.256
1992 0.023 0.114 0.34 0.721 1.119 1.63 1.881 2.127 2.437 3.142 3.491 3.491 3.491
1993 0.025 0.107 0.279 0.616 1.100 1.537 2.08 2.308 2.54 2.831 3.531 3.531 3.531
Table 4.6a. Northeast Arctic haddock. Smoothed stock weights-at-age (kg). The data from 1950–1993 is unchanged since AFWG 2019, the data from 1994 and onward have been updated this year.
Year 3 4 5 6 7 8 9 10 11 12 13
1994 0.251 0.505 0.94 1.651 2.164 2.707 2.858 2.81 2.972 3.616 4.155
1995 0.262 0.472 0.804 1.315 2.119 2.627 3.159 3.288 3.206 3.156 3.93
1996 0.279 0.487 0.747 1.136 1.72 2.575 3.086 3.602 3.695 3.396 3.474
1997 0.344 0.518 0.769 1.071 1.495 2.128 3.013 3.522 4.018 3.862 3.713
1998 0.344 0.624 0.816 1.1 1.417 1.879 2.54 3.458 3.931 4.155 4.155
1999 0.364 0.629 0.973 1.158 1.451 1.777 2.27 2.95 3.863 4.085 4.444
2000 0.294 0.665 0.979 1.365 1.522 1.827 2.153 2.663 3.358 4.016 4.37
2001 0.306 0.54 1.027 1.365 1.769 1.9 2.2 2.532 3.043 3.537 4.316
2002 0.274 0.562 0.852 1.432 1.779 2.186 2.294 2.597 2.915 3.23 3.846
2003 0.249 0.509 0.883 1.204 1.85 2.197 2.604 2.689 2.972 3.113 3.552
2004 0.288 0.463 0.804 1.243 1.577 2.279 2.617 3.021 3.072 3.171 3.412
2005 0.285 0.53 0.741 1.136 1.624 1.974 2.709 3.035 3.437 3.26 3.474
2006 0.294 0.53 0.84 1.057 1.505 2.028 2.365 3.123 3.437 3.6 3.584
2007 0.224 0.544 0.834 1.181 1.399 1.879 2.427 2.77 3.532 3.616 3.913
2008 0.22 0.42 0.858 1.181 1.558 1.768 2.27 2.838 3.161 3.713 3.93
2009 0.249 0.417 0.672 1.212 1.549 1.942 2.13 2.663 3.236 3.35 4.016
2010 0.291 0.467 0.667 0.962 1.586 1.942 2.341 2.52 3.043 3.412 3.665
2011 0.297 0.536 0.741 0.962 1.284 1.985 2.329 2.743 2.9 3.23 3.73
2012 0.372 0.548 0.845 1.057 1.284 1.631 2.377 2.729 3.131 3.084 3.552
2013 0.341 0.67 0.864 1.196 1.399 1.622 1.987 2.783 3.131 3.32 3.396
2014 0.393 0.624 1.041 1.219 1.568 1.768 1.976 2.358 3.175 3.305 3.632
2015 0.355 0.707 0.973 1.45 1.596 1.964 2.142 2.346 2.722 3.366 3.616
2016 0.361 0.644 1.091 1.357 1.871 1.996 2.354 2.52 2.708 2.914 3.665
2017 0.35 0.654 1 1.512 1.769 2.303 2.39 2.756 2.9 2.9 3.215
2018 0.277 0.64 1.014 1.398 1.944 2.186 2.723 2.797 3.146 3.098 3.215
2019 0.257 0.514 0.993 1.416 1.809 2.387 2.604 3.152 3.191 3.335 3.396
2020 0.268 0.48 0.81 1.39 1.829 2.232 2.817 3.021 3.563 3.381 3.648
2021 0.294 0.501 0.758 1.151 1.799 2.255 2.657 3.257 3.421 3.73 3.681
2022 0.328 0.54 0.792 1.085 1.513 2.22 2.683 3.079 3.661 3.6 4.033
2023 0.249 0.6 0.852 1.129 1.434 1.889 2.643 3.108 3.484 3.829 3.913
2024 0.294 0.463 0.94 1.204 1.486 1.798 2.281 3.065 3.515 3.648 4.137
Table 4.6b Northeast Arctic haddock. Smoothed stock weights-at-age (kg), updated from 1994 and onwards this year.
Year 3 4 5 6 7 8 9 10  
1950-1979 0.027 0.101 0.311 0.622 0.845 0.944 0.982 0.994
1980 0.026 0.076 0.243 0.649 0.86 0.95 0.984 0.995
1981 0.056 0.104 0.303 0.549 0.857 0.948 0.984 0.995
1982 0.053 0.161 0.332 0.577 0.77 0.947 0.983 0.995
1983 0.057 0.183 0.472 0.665 0.8 0.906 0.983 0.995
1984 0.044 0.196 0.51 0.801 0.862 0.921 0.967 0.995
1985 0.027 0.149 0.522 0.796 0.928 0.953 0.973 0.989
1986 0.021 0.103 0.454 0.758 0.928 0.977 0.984 0.991
1987 0.021 0.076 0.294 0.713 0.918 0.976 0.993 0.994
1988 0.025 0.074 0.24 0.576 0.898 0.975 0.993 0.998
1989 0.032 0.09 0.25 0.534 0.822 0.966 0.993 0.998
1990 0.046 0.127 0.305 0.578 0.798 0.937 0.99 0.997
1991 0.041 0.164 0.358 0.623 0.82 0.925 0.98 0.997
1992 0.03 0.147 0.449 0.704 0.855 0.936 0.976 0.994
1993 0.018 0.113 0.396 0.741 0.878 0.95 0.979 0.992
Table 4.7a. Northeast Arctic haddock. Proportion mature at age. The data from 1950-1993 is unchanged since AFWG 2019. Age 1-2 are 0, and ages 11-13+ set to 1 (not shown)
Year 3 4 5 6 7 8 9 10
1994 0.026 0.088 0.283 0.644 0.821 0.914 0.938 0.944
1995 0.027 0.079 0.221 0.507 0.812 0.907 0.954 0.965
1996 0.03 0.083 0.197 0.422 0.711 0.902 0.95 0.974
1997 0.04 0.092 0.206 0.39 0.632 0.841 0.947 0.972
1998 0.04 0.124 0.226 0.404 0.601 0.79 0.913 0.97
1999 0.044 0.126 0.298 0.433 0.615 0.764 0.884 0.951
2000 0.032 0.138 0.301 0.529 0.642 0.777 0.868 0.935
2001 0.034 0.098 0.323 0.529 0.726 0.795 0.874 0.925
2002 0.029 0.105 0.242 0.559 0.729 0.851 0.887 0.93
2003 0.025 0.089 0.256 0.455 0.749 0.852 0.919 0.937
2004 0.031 0.077 0.221 0.474 0.663 0.865 0.92 0.955
2005 0.03 0.096 0.194 0.422 0.679 0.811 0.928 0.955
2006 0.032 0.096 0.237 0.383 0.636 0.822 0.896 0.959
2007 0.022 0.099 0.234 0.444 0.593 0.79 0.902 0.942
2008 0.022 0.066 0.245 0.444 0.656 0.761 0.884 0.946
2009 0.025 0.065 0.166 0.459 0.653 0.804 0.864 0.935
2010 0.031 0.078 0.164 0.335 0.666 0.804 0.893 0.924
2011 0.032 0.097 0.194 0.335 0.542 0.813 0.891 0.94
2012 0.045 0.101 0.24 0.383 0.542 0.721 0.897 0.939
2013 0.039 0.14 0.248 0.451 0.593 0.718 0.84 0.942
2014 0.049 0.124 0.33 0.462 0.659 0.761 0.838 0.909
2015 0.042 0.153 0.298 0.566 0.669 0.809 0.866 0.908
2016 0.043 0.131 0.353 0.526 0.754 0.816 0.894 0.924
2017 0.041 0.135 0.311 0.591 0.726 0.868 0.898 0.941
2018 0.029 0.129 0.317 0.544 0.773 0.851 0.929 0.943
2019 0.026 0.091 0.307 0.551 0.737 0.88 0.919 0.96
2020 0.028 0.081 0.224 0.54 0.743 0.858 0.935 0.955
2021 0.032 0.087 0.201 0.429 0.734 0.862 0.923 0.964
2022 0.037 0.098 0.216 0.397 0.639 0.856 0.926 0.957
2023 0.025 0.117 0.242 0.419 0.608 0.792 0.922 0.958
2024 0.032 0.077 0.283 0.455 0.629 0.769 0.885 0.957
Table 4.7b. Northeast Arctic haddock. Smoothed proportion mature at age. Data 1994-2024, Age 1-2 set to 0, and ages 11-13+ set to 1 (not shown)
Age 0 1 2 3 4 5 6 Biomass
1984 2211.03 1019.15 15.33 0.09 0.00 0.00 0.00 55.43
1985 2001.44 1361.72 5.06 0.00 0.00 0.00 0.00 52.90
1986 91.72 593.94 222.94 166.60 0.00 0.00 0.00 108.23
1987 0.00 1050.91 0.00 0.00 0.00 0.00 0.00 5.78
1988 0.00 16.69 0.48 8.68 0.00 0.20 0.00 2.50
1989 21.16 220.40 0.00 0.00 0.00 0.00 0.00 9.84
1990 48.39 137.35 34.29 3.33 0.00 0.00 0.00 14.09
1991 0.00 355.55 12.98 0.00 0.00 0.00 0.00 15.68
1992 132.13 1742.73 123.26 0.93 0.00 0.00 0.00 88.03
1993 824.28 1440.05 143.40 32.06 3.09 2.62 0.00 69.24
1994 1347.06 1482.72 73.28 23.84 6.89 0.81 0.01 48.24
1995 181.44 2866.91 167.12 12.38 28.14 27.77 0.32 113.44
1996 357.41 1531.75 154.59 38.26 5.19 2.46 3.19 66.30
1997 0.00 936.98 38.59 26.33 1.69 0.75 0.51 43.55
1998 0.00 1718.08 27.45 1.74 2.56 0.45 0.00 35.60
1999 0.00 1032.24 25.14 0.35 0.00 0.00 0.00 29.33
2000 809.13 1404.78 71.37 2.21 1.15 0.19 0.08 58.04
2001 1047.82 593.31 53.29 4.69 0.07 0.00 0.00 51.23
2002 455.83 2437.19 240.57 39.46 2.27 0.36 0.16 126.97
2003 1142.44 3574.05 214.12 39.25 12.68 1.21 0.00 165.96
2004 5389.73 2863.50 303.56 39.61 9.84 2.45 0.00 197.83
2005 7707.91 6679.54 275.70 54.87 9.25 2.24 0.87 324.23
2006 12794.26 8417.12 374.40 5.47 4.37 1.17 0.48 360.75
2007 1212.45 10184.39 657.29 71.27 3.80 2.18 0.21 377.29
2008 1368.08 966.98 894.26 227.17 43.30 5.56 3.16 291.38
2009 5641.94 1867.06 274.94 260.70 68.14 21.99 1.52 251.78
2010 1985.11 5719.13 179.00 65.90 67.01 60.68 11.30 264.61
2011 2324.69 2631.88 448.53 55.61 74.12 84.90 18.55 275.66
2012 234.85 7100.66 133.82 106.69 14.93 6.65 4.21 218.24
2013 2150.54 1581.86 373.20 30.96 21.76 5.40 4.08 197.25
2014 1154.90 1973.79 137.92 26.80 1.78 0.62 0.00 86.10
2015 4879.22 2534.35 127.69 13.11 42.54 1.40 0.22 174.16
2016 8003.64 2624.94 275.51 21.62 2.34 7.33 1.69 219.14
2017 4498.22 7607.64 227.18 22.45 12.34 6.10 13.21 269.40
2018 2272.80 6842.72 572.95 63.39 6.65 0.58 0.02 269.51
2019 523.60 4389.38 396.25 114.73 7.80 0.29 0.00 203.83
2020 1860.19 489.42 75.19 53.64 68.12 3.53 0.12 82.92
2021 1006.14 300.25 80.75 5.32 4.27 0.76 0.10 25.23
2022 4208.63 2123.94 217.82 8.34 1.24 0.06 0.00 77.59
2023 1595.50 829.28 192.13 8.27 1.91 0.07 0.00 69.55
Average 1984-202 3 2037.09 2581.11 196.03 41.40 13.23 6.27 1.60 134.92
Table 4.8. Northeast Arctic haddock. Consumption of Haddock by NEA Cod (mln. spec) age 0–6, and total biomass ages 0–6 consumed (1000 tonnes)
Survey Year\Age 3 4 5 6 7 8 9 10
RU-BTr-Q4 1991 62 9 3 6 18 17    
RU-BTr-Q4 1992 346 50 4 6 9 9    
RU-BTr-Q4 1993 1985 356 48 8 4 4    
RU-BTr-Q4 1994 442 1014 116 15 1 6    
RU-BTr-Q4 1995 31 123 370 40 5 4    
RU-BTr-Q4 1996 28 49 362 334 29 6    
RU-BTr-Q4 1997 32 32 10 27 10 8    
RU-BTr-Q4 1998 38 46 8 5 15 5    
RU-BTr-Q4 1999 196 39 37 8 3 14    
RU-BTr-Q4 2000 60 109 26 11 2 5    
RU-BTr-Q4 2001 334 40 65 11 4 4    
RU-BTr-Q4 2002 399 450 47 24 4 3    
RU-BTr-Q4 2003 221 299 231 34 16 3    
RU-BTr-Q4 2004 113 94 107 87 5 6    
RU-BTr-Q4 2005 240 86 48 57 24 3    
RU-BTr-Q4 2006 113 119 57 26 24 13    
RU-BTr-Q4 2007 838 73 137 38 14 15    
RU-BTr-Q4 2008 2557 1051 124 111 17 11    
RU-BTr-Q4 2009 1647 1704 631 57 32 9    
RU-BTr-Q4 2010 299 1697 1589 466 34 17    
RU-BTr-Q4 2011 47 268 1087 783 165 13    
RU-BTr-Q4 2012 209 49 160 720 480 70    
RU-BTr-Q4 2013 61 175 50 104 374 272    
RU-BTr-Q4 2014 250 46 175 56 142 416    
RU-BTr-Q4 2015 22 199 40 74 28 171    
RU-BTr-Q4 2016 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2017 71 99 9 38 6 27    
RU-BTr-Q4 2018 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2019 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2020 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2021 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2022 -1 -1 -1 -1 -1 -1    
RU-BTr-Q4 2023 -1 -1 -1 -1 -1 -1    
BS-NoRU-Q1(Aco) 1994 348.73 626.65 121.38 8.55 0.7 0.33 2.71  
BS-NoRU-Q1(Aco) 1995 41.47 121.49 395.37 47.61 2.8 0.05 0.83  
BS-NoRU-Q1(Aco) 1996 29.97 22.09 68.65 143.69 5.67 0.93 0.07  
BS-NoRU-Q1(Aco) 1997 57.27 22.22 15.47 56.13 62.77 4.68 0.19  
BS-NoRU-Q1(Aco) 1998 33.78 58.79 24.2 7.7 14.06 20.69 1.62  
BS-NoRU-Q1(Aco) 1999 83.67 21.64 22.1 6.17 1.55 3.88 2.77  
BS-NoRU-Q1(Aco) 2000 36.39 75.53 14.01 12.61 1.57 0.53 3.02  
BS-NoRU-Q1(Aco) 2001 233.45 40.2 41.38 2.2 1.61 0.15 0.71  
BS-NoRU-Q1(Aco) 2002 255.2 201.84 18.47 11.7 1.59 0.29 0.56  
BS-NoRU-Q1(Aco) 2003 203.68 184.57 136.04 12.26 6.01 0.26 0.9  
BS-NoRU-Q1(Aco) 2004 151.01 101.85 107.82 57.68 7.61 1.15 0.55  
BS-NoRU-Q1(Aco) 2005 221.33 115.67 57.43 56.71 12.69 0.38 0.33  
BS-NoRU-Q1(Aco) 2006 56.32 123.84 47.37 19.26 13.64 3.23 0.35  
BS-NoRU-Q1(Aco) 2007 209.28 46.14 80.57 28.92 10 5.05 2.79  
BS-NoRU-Q1(Aco) 2008 812.41 303.04 90.02 74.12 7.41 12.77 2.11  
BS-NoRU-Q1(Aco) 2009 883.68 629.98 266.65 38.87 14.57 1.26 1.05  
BS-NoRU-Q1(Aco) 2010 128.07 631.03 603.99 166.96 12.07 2.94 2.11  
BS-NoRU-Q1(Aco) 2011 54.16 84.23 313.02 292.21 54.91 1.71 1.46  
BS-NoRU-Q1(Aco) 2012 191.63 48.84 88.12 310.6 172.52 30.09 1.01  
BS-NoRU-Q1(Aco) 2013 67.29 146.77 35.41 53.03 223.77 102.68 14.37  
BS-NoRU-Q1(Aco) 2014 334.82 39.12 108.72 23.18 34.77 86.36 38.82  
BS-NoRU-Q1(Aco) 2015 24.35 189.4 26.63 46.13 9.22 22.45 31.99  
BS-NoRU-Q1(Aco) 2016 71.81 12.08 59.62 12.52 17.28 7.48 33.24  
BS-NoRU-Q1(Aco) 2017 81.15 65.05 4.81 34.81 6.24 7.93 17.72  
BS-NoRU-Q1(Aco) 2018 171.03 62.74 64.4 6.77 15.57 2.75 14.69  
BS-NoRU-Q1(Aco) 2019 507.61 146.22 31.73 21.88 4.72 3.46 4.19  
BS-NoRU-Q1(Aco) 2020 286.32 306.38 79.18 22.38 11.59 1.84 6.33  
BS-NoRU-Q1(Aco) 2021 50.76 130.37 181.8 19.35 5.44 0.94 1.77  
BS-NoRU-Q1(Aco) 2022 11.35 63.4 95.3 101.24 11.79 0.82 1.08  
BS-NoRU-Q1(Aco) 2023 76.99 9.02 51.28 53.25 38.07 2.69 0.49  
BS-NoRU-Q1(Aco) 2024 337.4 44 3.7 14.9 12.5 7.8 0.33  
BS-NoRu-Q1 (BTr) 1994 314.533 436.251 46.176 3.54 0.163 0.13 0.2 0.651
BS-NoRu-Q1 (BTr) 1995 54.857 167.104 343.38 29.623 1.441 0.025 0.043 0.404
BS-NoRu-Q1 (BTr) 1996 55.843 31.334 150.768 238.108 16.131 1.15 0 0.069
BS-NoRu-Q1 (BTr) 1997 79.632 39.855 18.255 61.566 88.411 3.277 0.082 0.043
BS-NoRu-Q1 (BTr) 1998 21.681 36.749 11.844 1.294 9.203 7.212 0.648 0.092
BS-NoRu-Q1 (BTr) 1999 56.92 15.874 9.418 2.831 0.807 1.282 0.771 0.034
BS-NoRu-Q1 (BTr) 2000 24.08 35.241 6.789 4.134 0.684 0.083 0.802 0.288
BS-NoRu-Q1 (BTr) 2001 293.996 26.252 22.997 1.634 0.752 0.058 0.06 0.329
BS-NoRu-Q1 (BTr) 2002 312.87 185.453 12.417 8.04 0.846 0.218 0.009 0.325
BS-NoRu-Q1 (BTr) 2003 352.236 174.452 72.708 5.104 1.682 0.119 0.104 0.217
BS-NoRu-Q1 (BTr) 2004 173.132 100.516 77.021 51.281 7.409 0.912 0.133 0.228
BS-NoRu-Q1 (BTr) 2005 317.889 141.058 50.664 61.191 10.082 0.249 0.08 0.009
BS-NoRu-Q1 (BTr) 2006 78.798 130.76 46.048 20.874 16.208 3.184 0.094 0.265
BS-NoRu-Q1 (BTr) 2007 443.266 81.784 84.667 26.279 5.411 2.197 1.376 0.896
BS-NoRu-Q1 (BTr) 2008 1591.031 583.606 53.079 54.732 6.794 10.248 0.23 0.167
BS-NoRu-Q1 (BTr) 2009 1230.426 751.012 368.33 25.414 12.437 0.851 0.09 0.363
BS-NoRu-Q1 (BTr) 2010 102.451 510.449 443.759 139.316 7.988 1.016 0.386 0.574
BS-NoRu-Q1 (BTr) 2011 52.883 123.634 469.482 290.036 65.236 1.416 1.121 0.184
BS-NoRu-Q1 (BTr) 2012 316.077 28.785 74.714 267.945 154.601 24.766 3.115 0.391
BS-NoRu-Q1 (BTr) 2013 57.444 143.984 22.019 33.624 191.145 69.385 6.114 0.076
BS-NoRu-Q1 (BTr) 2014 381.173 32.729 104.397 23.257 50.035 97.536 38.692 2.425
BS-NoRu-Q1 (BTr) 2015 30.615 187.035 43.601 39.44 14.668 18.735 30.744 10.2
BS-NoRu-Q1 (BTr) 2016 163.385 34.342 115.597 22.406 41.948 12.437 32.396 33.161
BS-NoRu-Q1 (BTr) 2017 134.9 105.5 7.553 55.338 9.692 15.6 2.527 23.861
BS-NoRu-Q1 (BTr) 2018 336.307 86.656 65.764 7.771 15.59 3.621 2.564 11.931
BS-NoRu-Q1 (BTr) 2019 1075.552 187.224 49.399 16.996 4.038 2.948 0.736 1.91
BS-NoRu-Q1 (BTr) 2020 424.225 586.985 99.123 22.08 6.057 2.605 1.042 2.827
BS-NoRu-Q1 (BTr) 2021 111.35 176.57 265.49 19.32 3.57 0.68 0.19 0.72
BS-NoRu-Q1 (BTr) 2022 12.226 86.54 121.699 113.566 9.099 0.617 0.113 0.44
BS-NoRu-Q1 (BTr) 2023 82.055 8.058 50.201 49.022 33.313 2.168 0.096 0.318
BS-NoRu-Q1 (BTr) 2024 346.712 40.855 3.345 15.762 12.595 7.724 0.355 0.119
FLT007: Eco-NoRu-Q3 (Btr) 2004 123.368 70.303 69.118 31.482 2.989 1.721 0.22  
FLT007: Eco-NoRu-Q3 (Btr) 2005 324.56 89.531 30.44 32.246 15.035 0.472 1.116  
FLT007: Eco-NoRu-Q3 (Btr) 2006 107.467 124.64 41.597 18.98 17.482 7.289 1.384  
FLT007: Eco-NoRu-Q3 (Btr) 2007 1282.94 88.498 90.369 19.227 5.881 7.102 3.209  
FLT007: Eco-NoRu-Q3 (Btr) 2008 1154.869 405.999 43.133 35.517 4.94 2.514 2.539  
FLT007: Eco-NoRu-Q3 (Btr) 2009 650.742 619.088 305.883 21.045 6.549 0.87 0.576  
FLT007: Eco-NoRu-Q3 (Btr) 2010 184.001 865.318 666.439 147.72 15.84 2.73 0.589  
FLT007: Eco-NoRu-Q3 (Btr) 2011 40.446 73.802 392.93 301.368 37.357 2.972 0.514  
FLT007: Eco-NoRu-Q3 (Btr) 2012 92.468 20.348 67.607 214.052 152.03 12.739 2.003  
FLT007: Eco-NoRu-Q3 (Btr) 2013 25.779 65.228 19.575 50.846 150.131 76.427 7.561  
FLT007: Eco-NoRu-Q3 (Btr) 2014 261.631 40.768 70.161 25.781 60.452 85.771 19.646  
FLT007: Eco-NoRu-Q3 (Btr) 2015 42.148 213.636 25.132 37.111 20.577 47.868 42.903  
FLT007: Eco-NoRu-Q3 (Btr) 2016 209.303 34.43 184.09 47.965 56.787 40.367 125.907  
FLT007: Eco-NoRu-Q3 (Btr) 2017 70.313 70.306 11.47 20.537 3.963 4.025 15.265  
FLT007: Eco-NoRu-Q3 (Btr) 2018 -1 -1 -1 -1 -1 -1 -1  
FLT007: Eco-NoRu-Q3 (Btr) 2019 896.982 160.736 38.067 15.133 5.303 5.037 11.56  
FLT007: Eco-NoRu-Q3 (Btr) 2020 204.059 341.372 58.813 4.918 1.959 0.802 1.483  
FLT007: Eco-NoRu-Q3 (Btr) 2021 129.533 345.768 330.627 32.25 5.446 0.885 1.41  
FLT007: Eco-NoRu-Q3 (Btr) 2022 -1 -1 -1 -1 -1 -1 -1  
FLT007: Eco-NoRu-Q3 (Btr) 2023 182.62 13.345 37.289 36.344 12.06 0.456 0.341  
Table 4.9. Northeast Arctic haddock. Survey indices for SAM tuning (see section 4.4.6). The last age is a plus group
#Configuration saved: Wed Feb 12 12:57:09 2020
# Where a matrix is specified rows corresponds to fleets and columns to ages.
# Same number indicates same parameter used
# Numbers (integers) starts from zero and must be consecutive
$minAge
# The minimum age class in the assessment
3
$maxAge
# The maximum age class in the assessment
13
$maxAgePlusGroup
# Is last age group considered a plus group for each fleet (1 yes, or 0 no).
1 1 1 1 1
$keyLogFsta
# Coupling of the fishing mortality states (nomally only first row is used).
0 1 2 3 4 5 5 5 5 5 5
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
$corFlag
# Correlation of fishing mortality across ages (0 independent, 1 compound symmetry, 2 AR(1), 3 separable AR(1).
2
$keyLogFpar
# Coupling of the survey catchability parameters (nomally first row is not used, as that is covered by fishing mortality).
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
0 1 1 1 1 1 -1 -1 -1 -1 -1
2 3 3 3 3 4 4 -1 -1 -1 -1
5 6 6 6 6 7 7 7 -1 -1 -1
8 9 9 9 9 9 9 -1 -1 -1 -1
$keyQpow
# Density dependent catchability power parameters (if any).
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
0 0 0 0 0 0 -1 -1 -1 -1 -1
1 1 1 1 1 2 2 -1 -1 -1 -1
3 3 3 3 3 4 4 4 -1 -1 -1
5 5 5 5 5 5 5 -1 -1 -1 -1
$keyVarF
# Coupling of process variance parameters for log(F)-process (nomally only first row is used)
0 1 1 1 1 1 1 1 1 1 1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
$keyVarLogN
# Coupling of process variance parameters for log(N)-process
0 1 1 1 1 1 1 1 1 1 1
$keyVarObs
# Coupling of the variance parameters for the observations.
0 1 2 2 2 2 2 2 2 2 2
3 3 3 3 3 3 -1 -1 -1 -1 -1
4 4 4 4 4 4 4 -1 -1 -1 -1
5 5 5 5 5 5 5 5 -1 -1 -1
6 6 6 6 6 6 6 -1 -1 -1 -1
$obsCorStruct
# Covariance structure for each fleet ("ID" independent, "AR" AR(1), or "US" for unstructured). | Possible values are: "ID" "AR" "US"
"ID" "AR" "AR" "AR" "AR"
$keyCorObs
# Coupling of correlation parameters can only be specified if the AR(1) structure is chosen above.
# NA's indicate where correlation parameters can be specified (-1 where they cannot).
#V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
NA NA NA NA NA NA NA NA NA NA
0 1 1 1 2 -1 -1 -1 -1 -1
3 3 3 3 3 4 -1 -1 -1 -1
5 5 5 5 5 6 6 -1 -1 -1
7 7 7 7 7 7 -1 -1 -1 -1
$stockRecruitmentModelCode
# Stock recruitment code (0 for plain random walk, 1 for Ricker, 2 for Beverton–Holt, and 3 piece-wise constant).
0
$noScaledYears
# Number of years where catch scaling is applied.
0
$keyScaledYears
# A vector of the years where catch scaling is applied.
$keyParScaledYA
# A matrix specifying the couplings of scale parameters (nrow = no scaled years, ncols = no ages).
$fbarRange
# lowest and higest age included in Fbar
4 7
$keyBiomassTreat
# To be defined only if a biomass survey is used (0 SSB index, 1 catch index, 2 FSB index, 3 total catch, 4 total landings and 5 TSB index).
-1 -1 -1 -1 -1
$obsLikelihoodFlag
# Option for observational likelihood | Possible values are: "LN" "ALN"
"LN" "LN" "LN" "LN" "LN"
$fixVarToWeight
# If weight attribute is supplied for observations this option sets the treatment (0 relative weight, 1 fix variance to weight).
0
$fracMixF
# The fraction of t(3) distribution used in logF increment distribution
0
$fracMixN
# The fraction of t(3) distribution used in logN increment distribution
0
$fracMixObs
# A vector with same length as number of fleets, where each element is the fraction of t(3) distribution used in the distribution of that fleet
0 0 0 0 0
$constRecBreaks
# This option is only used in combination with stock-recruitment code 3)
$predVarObsLink
# Coupling of parameters used in a mean-variance link for observations.
0 1 2 2 2 2 2 2 2 2 2
3 3 3 3 3 3 -1 -1 -1 -1 -1
4 4 4 4 4 4 4 -1 -1 -1 -1
5 5 5 5 5 5 5 5 -1 -1 -1
6 6 6 6 6 6 6 -1 -1 -1 -1
Table 4.10 SAM model configuration used. Updated at WKDEM 2020
Year R(age 3) Low High SSB Low High Fbar(4-7) Low High TSB Low High
 
1950 110038 70318 172195 213098 190932 237837 0.794 0.673 0.935 396840 356254 442049
1951 633959 422176 951982 124868 110849 140660 0.684 0.577 0.811 428048 342682 534678
1952 83966 54059 130419 101012 88332 115513 0.704 0.59 0.84 416060 333540 518997
1953 1186876 792673 1777121 120410 104189 139155 0.532 0.441 0.643 714915 553832 922851
1954 131478 84861 203703 173385 147570 203715 0.431 0.356 0.523 810600 646087 1017004
1955 59255 37752 93006 309421 264756 361621 0.449 0.374 0.54 837088 708066 989619
1956 222228 142942 345493 364154 310799 426668 0.475 0.395 0.57 681368 586892 791054
1957 61053 38964 95667 253086 217226 294865 0.428 0.357 0.513 432656 376505 497182
1958 74378 48008 115231 181370 157654 208654 0.519 0.432 0.623 314705 277335 357112
1959 385153 255704 580136 125441 109041 144308 0.446 0.369 0.54 332489 275103 401846
1960 314280 207100 476930 112870 99616 127888 0.54 0.452 0.646 415474 347752 496383
1961 142446 93949 215978 124441 110920 139609 0.664 0.563 0.784 399311 348149 457992
1962 290162 192872 436527 124618 110750 140222 0.794 0.675 0.933 373352 322574 432124
1963 312272 209555 465339 93938 82704 106698 0.76 0.639 0.905 350259 294351 416786
1964 352016 234914 527494 84244 74116 95757 0.634 0.527 0.761 384346 319775 461955
1965 125910 82095 193108 102938 90003 117731 0.526 0.436 0.634 385196 326882 453913
1966 309997 204532 469842 144858 126330 166104 0.559 0.467 0.67 447607 383591 522308
1967 339255 223412 515165 150777 130228 174568 0.444 0.367 0.535 461966 389984 547235
1968 18922 11732 30517 167119 144992 192622 0.486 0.402 0.587 423781 360686 497914
1969 20435 12628 33068 166772 143621 193655 0.416 0.341 0.509 314469 270086 366146
1970 205947 133671 317302 154545 131368 181813 0.387 0.313 0.477 284409 240497 336338
1971 111639 72682 171479 127155 107395 150550 0.329 0.264 0.41 262792 224002 308298
1972 1073335 707532 1628262 128143 111460 147322 0.657 0.54 0.799 608117 466519 792693
1973 310663 206659 467007 125382 108183 145315 0.54 0.443 0.658 640283 517757 791805
1974 65039 42241 100139 153937 134375 176347 0.502 0.416 0.607 463910 401436 536107
1975 59149 38437 91022 194781 167105 227042 0.496 0.414 0.594 378394 328933 435293
1976 59157 37549 93200 195674 168190 227648 0.719 0.606 0.853 294661 258141 336346
1977 120692 76059 191516 118859 100310 140838 0.732 0.605 0.887 200270 171674 233629
1978 213186 141614 320929 80895 67101 97524 0.627 0.511 0.77 198221 164238 239234
1979 160795 106373 243060 62278 52461 73932 0.584 0.472 0.722 205202 171221 245926
1980 23618 14727 37876 62543 53210 73512 0.476 0.383 0.591 212423 177930 253603
1981 11101 6634 18576 72421 61374 85457 0.438 0.352 0.545 167972 142138 198501
1982 16377 9962 26924 68421 56732 82517 0.384 0.306 0.483 122621 102921 146092
1983 8039 4650 13898 58508 48149 71095 0.348 0.273 0.445 87685 73534 104558
1984 13082 7978 21453 53166 43434 65078 0.314 0.243 0.406 71488 59765 85509
1985 357657 235975 542084 49030 40833 58873 0.399 0.314 0.508 190947 141322 257997
1986 476527 315596 719523 54603 46371 64296 0.537 0.428 0.673 372645 294883 470914
1987 92051 59718 141890 77211 66119 90163 0.632 0.509 0.783 354417 297023 422900
1988 39771 24957 63379 79561 67118 94310 0.513 0.412 0.638 253833 215822 298538
1989 27846 17231 44999 84262 69611 101996 0.372 0.295 0.467 192287 161491 228957
1990 36089 23201 56137 86042 70285 105332 0.211 0.166 0.269 153279 128483 182861
1991 107694 75940 152726 100226 84352 119086 0.239 0.191 0.299 184411 157815 215489
1992 317850 227133 444801 110116 95315 127214 0.296 0.239 0.367 285199 240254 338553
1993 812363 593836 1111307 123913 109413 140334 0.321 0.262 0.393 510759 425088 613695
1994 389416 316627 478938 154765 138530 172902 0.376 0.311 0.454 634099 556863 722047
1995 99474 78314 126352 190437 170166 213122 0.305 0.257 0.363 632812 561467 713222
1996 98946 78328 124993 216671 193990 242004 0.374 0.319 0.438 546859 489670 610727
1997 118812 94279 149730 186707 166912 208851 0.454 0.385 0.535 397989 358577 441733
1998 63028 49180 80776 129431 114942 145745 0.457 0.384 0.544 264817 237962 294704
1999 147657 118952 183289 94302 83762 106169 0.465 0.387 0.56 231362 207007 258582
2000 83270 65838 105318 78990 70062 89054 0.342 0.281 0.417 212974 188845 240185
2001 359701 296740 436021 92264 82413 103292 0.371 0.309 0.446 315084 279574 355105
2002 386866 318438 469997 109407 97831 122354 0.355 0.296 0.426 428709 380290 483294
2003 332712 270243 409620 138630 124677 154143 0.43 0.364 0.507 499406 446671 558368
2004 255646 210593 310337 156676 140945 174163 0.396 0.337 0.465 486085 437656 539873
2005 354171 293454 427450 166277 149640 184763 0.412 0.351 0.482 501627 452493 556096
2006 153663 125409 188283 151767 136561 168666 0.376 0.319 0.443 432698 390438 479533
2007 514191 423913 623695 153081 138058 169738 0.394 0.334 0.465 492074 442738 546907
2008 1048186 874520 1256339 161015 144262 179714 0.325 0.273 0.387 706824 626814 797048
2009 982329 820791 1175658 181636 162878 202555 0.27 0.227 0.321 959547 849025 1084456
2010 235386 192881 287259 246977 221307 275624 0.254 0.215 0.3 1091313 966678 1232016
2011 117342 93736 146894 356055 319054 397348 0.267 0.228 0.311 1142998 1019581 1281354
2012 331422 272529 403041 467020 415602 524800 0.229 0.195 0.269 1139170 1017626 1275230
2013 117064 93785 146122 509013 451179 574260 0.153 0.129 0.182 976918 872153 1094267
2014 399947 330282 484305 510434 455625 571837 0.159 0.133 0.19 961198 866571 1066158
2015 71899 56805 91002 488941 440830 542304 0.194 0.163 0.231 855052 775536 942721
2016 206289 167949 253382 479940 433696 531114 0.267 0.226 0.315 784180 712300 863314
2017 191476 156175 234757 402555 365961 442809 0.356 0.303 0.419 686853 626497 753025
2018 353237 288706 432191 296733 269095 327210 0.414 0.353 0.487 595026 540450 655112
2019 774629 643003 933201 225698 204447 249158 0.452 0.382 0.535 641335 576832 713051
2020 414489 341742 502721 186017 168034 205924 0.479 0.405 0.567 649569 581535 725562
2021 153939 123568 191774 170620 153632 189487 0.495 0.419 0.584 584250 523338 652252
2022 44626 33640 59199 167259 147656 189465 0.424 0.353 0.509 476747 422112 538452
2023 164015 130651 205900 170118 146693 197283 0.45 0.365 0.556 404413 352397 464106
2024 469037 372117 591201 150433 120071 188471       415805 348356 496313
 
Table 4.11. Northeast Arctic haddock. SAM model. Estimated recruitment, spawning-stock biomass (SSB), and average fishing mortality (Fbar ages 4.-7).
Year Age 3 4 5 6 7 8 9 10 11 12 13
 
1950 0.194 0.482 0.749 0.873 1.07 0.895 0.895 0.895 0.895 0.895 0.895
1951 0.131 0.375 0.616 0.767 0.977 0.881 0.881 0.881 0.881 0.881 0.881
1952 0.125 0.382 0.628 0.784 1.022 0.93 0.93 0.93 0.93 0.93 0.93
1953 0.08 0.281 0.468 0.582 0.799 0.737 0.737 0.737 0.737 0.737 0.737
1954 0.054 0.209 0.358 0.468 0.689 0.649 0.649 0.649 0.649 0.649 0.649
1955 0.051 0.203 0.372 0.506 0.715 0.605 0.605 0.605 0.605 0.605 0.605
1956 0.055 0.214 0.393 0.554 0.738 0.626 0.626 0.626 0.626 0.626 0.626
1957 0.05 0.201 0.369 0.494 0.646 0.551 0.551 0.551 0.551 0.551 0.551
1958 0.061 0.239 0.453 0.602 0.781 0.692 0.692 0.692 0.692 0.692 0.692
1959 0.061 0.232 0.411 0.522 0.62 0.568 0.568 0.568 0.568 0.568 0.568
1960 0.095 0.321 0.537 0.632 0.671 0.615 0.615 0.615 0.615 0.615 0.615
1961 0.127 0.409 0.684 0.782 0.782 0.693 0.693 0.693 0.693 0.693 0.693
1962 0.16 0.505 0.857 0.944 0.869 0.723 0.723 0.723 0.723 0.723 0.723
1963 0.14 0.472 0.809 0.912 0.848 0.683 0.683 0.683 0.683 0.683 0.683
1964 0.098 0.361 0.636 0.771 0.766 0.647 0.647 0.647 0.647 0.647 0.647
1965 0.076 0.294 0.515 0.637 0.657 0.567 0.567 0.567 0.567 0.567 0.567
1966 0.091 0.332 0.565 0.668 0.671 0.556 0.556 0.556 0.556 0.556 0.556
1967 0.071 0.272 0.449 0.517 0.537 0.465 0.465 0.465 0.465 0.465 0.465
1968 0.085 0.303 0.494 0.556 0.589 0.514 0.514 0.514 0.514 0.514 0.514
1969 0.08 0.275 0.434 0.473 0.484 0.418 0.418 0.418 0.418 0.418 0.418
1970 0.083 0.269 0.406 0.43 0.442 0.382 0.382 0.382 0.382 0.382 0.382
1971 0.072 0.238 0.353 0.356 0.367 0.324 0.324 0.324 0.324 0.324 0.324
1972 0.211 0.513 0.763 0.696 0.655 0.546 0.546 0.546 0.546 0.546 0.546
1973 0.218 0.496 0.647 0.534 0.481 0.385 0.385 0.385 0.385 0.385 0.385
1974 0.188 0.432 0.545 0.513 0.52 0.459 0.459 0.459 0.459 0.459 0.459
1975 0.206 0.458 0.546 0.493 0.487 0.418 0.418 0.418 0.418 0.418 0.418
1976 0.319 0.646 0.783 0.721 0.726 0.64 0.64 0.64 0.64 0.64 0.64
1977 0.357 0.708 0.849 0.716 0.656 0.559 0.559 0.559 0.559 0.559 0.559
1978 0.241 0.552 0.732 0.647 0.578 0.506 0.506 0.506 0.506 0.506 0.506
1979 0.167 0.448 0.675 0.654 0.558 0.503 0.503 0.503 0.503 0.503 0.503
1980 0.102 0.322 0.53 0.567 0.484 0.46 0.46 0.46 0.46 0.46 0.46
1981 0.085 0.282 0.479 0.543 0.448 0.43 0.43 0.43 0.43 0.43 0.43
1982 0.075 0.251 0.416 0.48 0.389 0.383 0.383 0.383 0.383 0.383 0.383
1983 0.075 0.246 0.384 0.423 0.34 0.339 0.339 0.339 0.339 0.339 0.339
1984 0.066 0.227 0.346 0.375 0.308 0.292 0.292 0.292 0.292 0.292 0.292
1985 0.075 0.262 0.417 0.485 0.433 0.414 0.414 0.414 0.414 0.414 0.414
1986 0.089 0.317 0.543 0.667 0.62 0.587 0.587 0.587 0.587 0.587 0.587
1987 0.1 0.361 0.648 0.79 0.727 0.66 0.66 0.66 0.66 0.66 0.66
1988 0.072 0.28 0.515 0.66 0.596 0.541 0.541 0.541 0.541 0.541 0.541
1989 0.054 0.218 0.386 0.467 0.415 0.364 0.364 0.364 0.364 0.364 0.364
1990 0.027 0.126 0.214 0.256 0.249 0.233 0.233 0.233 0.233 0.233 0.233
1991 0.029 0.136 0.243 0.291 0.286 0.263 0.263 0.263 0.263 0.263 0.263
1992 0.031 0.148 0.294 0.369 0.374 0.343 0.343 0.343 0.343 0.343 0.343
1993 0.025 0.132 0.297 0.412 0.442 0.402 0.402 0.402 0.402 0.402 0.402
1994 0.023 0.128 0.312 0.482 0.582 0.548 0.548 0.548 0.548 0.548 0.548
1995 0.018 0.103 0.239 0.375 0.503 0.496 0.496 0.496 0.496 0.496 0.496
1996 0.024 0.128 0.295 0.45 0.622 0.628 0.628 0.628 0.628 0.628 0.628
1997 0.033 0.163 0.382 0.545 0.724 0.693 0.693 0.693 0.693 0.693 0.693
1998 0.039 0.182 0.406 0.557 0.683 0.686 0.686 0.686 0.686 0.686 0.686
1999 0.047 0.206 0.435 0.564 0.656 0.631 0.631 0.631 0.631 0.631 0.631
2000 0.033 0.16 0.326 0.414 0.47 0.443 0.443 0.443 0.443 0.443 0.443
2001 0.035 0.168 0.361 0.46 0.496 0.455 0.455 0.455 0.455 0.455 0.455
2002 0.031 0.155 0.326 0.456 0.484 0.427 0.427 0.427 0.427 0.427 0.427
2003 0.037 0.175 0.373 0.537 0.633 0.574 0.574 0.574 0.574 0.574 0.574
2004 0.036 0.165 0.338 0.493 0.587 0.555 0.555 0.555 0.555 0.555 0.555
2005 0.038 0.169 0.343 0.504 0.63 0.608 0.608 0.608 0.608 0.608 0.608
2006 0.038 0.164 0.323 0.452 0.566 0.556 0.556 0.556 0.556 0.556 0.556
2007 0.04 0.165 0.329 0.478 0.604 0.586 0.586 0.586 0.586 0.586 0.586
2008 0.026 0.118 0.239 0.396 0.546 0.542 0.542 0.542 0.542 0.542 0.542
2009 0.021 0.094 0.187 0.319 0.478 0.495 0.495 0.495 0.495 0.495 0.495
2010 0.02 0.089 0.177 0.299 0.451 0.503 0.503 0.503 0.503 0.503 0.503
2011 0.022 0.094 0.193 0.317 0.462 0.506 0.506 0.506 0.506 0.506 0.506
2012 0.021 0.086 0.166 0.276 0.389 0.417 0.417 0.417 0.417 0.417 0.417
2013 0.014 0.064 0.111 0.176 0.261 0.324 0.324 0.324 0.324 0.324 0.324
2014 0.017 0.072 0.124 0.183 0.257 0.358 0.358 0.358 0.358 0.358 0.358
2015 0.022 0.092 0.162 0.227 0.294 0.407 0.407 0.407 0.407 0.407 0.407
2016 0.03 0.12 0.229 0.32 0.399 0.522 0.522 0.522 0.522 0.522 0.522
2017 0.039 0.154 0.308 0.447 0.516 0.599 0.599 0.599 0.599 0.599 0.599
2018 0.039 0.162 0.356 0.538 0.602 0.651 0.651 0.651 0.651 0.651 0.651
2019 0.037 0.165 0.389 0.627 0.627 0.619 0.619 0.619 0.619 0.619 0.619
2020 0.039 0.171 0.411 0.66 0.674 0.631 0.631 0.631 0.631 0.631 0.631
2021 0.041 0.176 0.416 0.676 0.711 0.692 0.692 0.692 0.692 0.692 0.692
2022 0.042 0.172 0.373 0.562 0.588 0.561 0.561 0.561 0.561 0.561 0.561
2023 0.054 0.203 0.414 0.602 0.581 0.531 0.531 0.531 0.531 0.531 0.531
                       
 
Table 4.12. Northeast Arctic haddock. SAM model estimated fishing mortality-at-age. SAM model.
Year 3 4 5 6 7 8 9 10 11 12 13 +
1950 110038 99320 73858 36888 46567 16586 4919 2700 1379 1453 2050
1951 633959 56570 45062 26846 12670 12358 5389 1920 1001 444 1089
1952 83966 425499 32389 19052 9007 4294 3831 1645 727 353 508
1953 1186876 49643 209247 14441 6401 2657 1332 1062 536 249 306
1954 131478 889106 25767 91865 6990 2341 1091 547 392 200 224
1955 59255 84625 620447 14535 51661 3108 926 455 236 162 168
1956 222228 41126 55834 320675 7224 17631 1440 403 213 112 153
1957 61053 148240 27684 35782 110978 3082 6154 695 168 98 127
1958 74378 40570 91720 15508 20580 40243 1618 2519 347 84 116
1959 385153 52194 26188 40018 7324 7275 14928 715 908 144 86
1960 314280 264331 35776 15617 17131 3465 3637 6210 355 375 106
1961 142446 190392 144752 17689 6959 8010 1590 1507 2809 154 206
1962 290162 85298 91665 59442 6768 2699 3274 658 611 1165 140
1963 312272 174851 37672 26424 17522 2634 1084 1229 272 244 537
1964 352016 198430 75281 12251 7708 5820 1210 439 508 121 344
1965 125910 239590 114578 30280 4181 2802 2269 530 198 218 209
1966 309997 82056 157982 61793 12353 1711 1282 951 267 91 187
1967 339255 199339 43463 72367 24770 4871 792 603 453 130 132
1968 18922 245403 117307 21887 35982 12431 2361 410 314 234 136
1969 20435 12261 140587 54877 10665 15737 5745 1167 197 156 175
1970 205947 12620 7606 69921 25065 5868 8058 3009 644 106 185
1971 111639 133298 7132 4530 33323 12264 3336 4544 1692 370 162
1972 1073335 80793 81228 4497 3094 17547 6735 2002 2771 1025 315
1973 310663 616875 45790 23323 1692 1531 7654 2912 922 1373 611
1974 65039 168377 252131 16477 10683 877 993 4440 1678 542 1210
1975 59149 36901 90274 140385 6834 4974 446 550 2146 817 925
1976 59157 33714 16548 44258 78807 3174 2772 245 324 1147 962
1977 120692 29930 13759 6456 17662 30361 1296 1185 102 144 812
1978 213186 54796 9582 4471 2890 7753 15037 631 563 45 432
1979 160795 116683 23131 3222 2037 1397 4089 7073 337 273 227
1980 23618 102289 58083 8308 1153 1041 711 2150 3479 173 240
1981 11101 16419 62843 26104 3462 551 554 377 1132 1717 214
1982 16377 7286 11243 31475 10522 1725 278 304 214 618 961
1983 8039 11101 4817 6840 13599 5594 983 147 175 124 807
1984 13082 4902 6625 2818 3898 8782 2900 577 81 103 521
1985 357657 8985 2837 3594 1808 2561 5341 1845 368 52 398
1986 476527 275573 5237 1562 1837 998 1463 2785 1025 205 260
1987 92051 250188 154962 2553 641 788 470 675 1206 470 208
1988 39771 70745 135394 46152 1065 230 318 204 298 506 279
1989 27846 26095 49207 70481 12235 544 95 151 98 143 364
1990 36089 20513 17347 26290 32738 5519 349 58 86 56 275
1991 107694 24388 13582 14123 20141 20224 3161 244 39 57 204
1992 317850 81879 15800 10055 10356 12558 12588 1896 161 25 157
1993 812363 219294 56430 10501 5906 6199 7596 7235 1053 98 106
1994 389416 563836 151681 31129 4641 3144 3709 4691 4271 593 113
1995 99474 220632 421856 77411 14506 2075 1427 1838 2162 2106 337
1996 98946 60985 164625 242974 31864 7203 1071 705 918 1080 1238
1997 118812 55173 37608 94538 102195 13880 2511 484 310 405 1068
1998 63028 79514 35162 17847 36685 38539 5199 986 205 129 683
1999 147657 48383 47142 17476 8805 15731 13722 1903 406 90 370
2000 83270 116941 30895 21507 6900 4238 6558 5390 806 185 219
2001 359701 69408 92333 16794 10241 3495 2538 3494 2657 433 227
2002 386866 290527 51867 47189 9163 5480 1869 1420 1912 1394 346
2003 332712 254138 191546 34400 24401 4592 3430 1197 812 1079 985
2004 255646 168392 162285 109698 16477 10768 2137 1627 598 384 1048
2005 354171 168003 93486 108417 50308 6630 5493 1128 724 299 765
2006 153663 212288 107151 51751 44669 20637 3195 2788 547 340 517
2007 514191 118872 161639 60744 26614 19160 8170 1731 1455 278 429
2008 1048186 439153 95399 101076 21536 14005 7127 3294 872 701 344
2009 982329 686754 364165 61483 39620 10207 5290 3125 1450 473 566
2010 235386 655241 582703 228805 32276 15057 4759 2697 1590 770 604
2011 117342 188975 532783 414270 121264 14258 6174 2107 1323 814 779
2012 331422 72976 135165 385424 261149 54458 6168 2565 1023 683 894
2013 117064 195098 57585 93695 267711 126218 23649 3152 1393 577 935
2014 399947 72708 143328 49531 86723 143927 61168 10836 1851 868 952
2015 71899 277123 65191 91417 40420 68908 72878 25634 5339 1006 998
2016 206289 49458 164387 45871 61192 33238 48731 37703 12782 2565 987
2017 191476 171737 33667 108363 28063 36233 18549 21695 17867 5598 1478
2018 353237 132741 122749 24567 43177 14578 17648 8793 9191 8406 3111
2019 774629 232081 86135 61292 16268 17196 6851 7501 3632 3827 4220
2020 414489 492059 152046 44238 21817 8432 7004 3353 3164 1705 3297
2021 153939 254448 327613 65201 17979 7888 3780 2845 1575 1437 2160
2022 44626 135191 176438 156957 26501 6387 2932 1497 1116 671 1441
2023 164015 30160 97785 107760 70973 10278 2712 1283 670 531 969
2024 469037 105164 18270 52217 44856 34295 4681 1276 611 321 713
Table 4.13. Northeast Arctic haddock. SAM model. Estimated stock numbers-at-age.
 
Year 3 4 5 6 7 8 9 10 11 12 13
 
1950 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1951 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1952 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1953 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1954 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1955 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1956 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1957 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1958 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1959 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1960 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1961 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1962 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1963 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1964 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1965 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1966 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1967 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1968 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1969 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1970 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1971 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1972 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1973 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1974 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1975 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1976 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1977 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1978 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1979 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1980 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1981 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1982 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1983 0.343 0.255 0.24 0.238 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1984 0.215 0.219 0.212 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1985 0.209 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1986 0.635 0.261 0.2 0.21 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1987 0.2 0.206 0.414 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1988 0.38 0.2 0.2 0.385 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1989 0.2 0.2 0.2 0.23 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1990 0.33 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1991 0.202 0.214 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1992 0.215 0.203 0.202 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1993 0.252 0.246 0.273 0.258 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1994 0.288 0.211 0.291 0.223 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1995 0.38 0.339 0.313 0.29 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1996 0.72 0.319 0.245 0.277 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1997 0.501 0.265 0.254 0.275 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1998 0.231 0.29 0.266 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1999 0.2 0.207 0.272 0.262 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2000 0.213 0.2 0.215 0.244 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2001 0.21 0.2 0.225 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2002 0.323 0.211 0.2 0.203 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2003 0.416 0.247 0.205 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2004 0.414 0.298 0.2 0.224 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2005 0.396 0.301 0.228 0.266 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2006 0.222 0.212 0.272 0.209 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2007 0.296 0.2 0.232 0.322 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2008 0.374 0.272 0.259 0.332 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2009 0.405 0.245 0.278 0.251 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2010 0.357 0.246 0.27 0.28 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2011 0.527 0.466 0.305 0.224 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2012 0.595 0.311 0.202 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2013 0.456 0.337 0.245 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2014 0.282 0.205 0.218 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2015 0.34 0.395 0.208 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2016 0.304 0.2 0.242 0.225 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2017 0.341 0.295 0.231 0.407 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2018 0.437 0.265 0.267 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2019 0.374 0.261 0.22 0.279 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2020 0.361 0.359 0.291 0.216 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2021 0.221 0.205 0.236 0.21 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2022 0.412 0.2 0.2 0.208 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2023 0.274 0.283 0.202 0.227 0.2 0.2 0.2 0.2 0.2 0.2 0.2
 
Table 4.14. Northeast Arctic haddock. SAM model. Natural mortality estimated age 3-6 from 0.20 + consumption from cod, ages 7-13+ natural mortality set to 0.2

FLR Tue May 28 10:43:50 2024

YEAR RECR_a3 TOTBIO TOTSPB LANDINGS YIELDSSB SOPCOFAC FBAR 4–7
1950 82150 242410 134545 132125 0.982 1.5897 0.8315
1951 667158 355315 101062 120077 1.1882 1.2272 0.624
1952 76664 235232 57466 127660 2.2215 1.7404 0.7248
1953 1271227 510739 82465 123920 1.5027 1.4279 0.5162
1954 152142 537327 117271 156788 1.337 1.474 0.3805
1955 68448 485090 178661 202286 1.1322 1.536 0.512
1956 208114 474546 243559 213924 0.8783 1.2623 0.4335
1957 65983 326149 186248 123583 0.6635 1.2455 0.4328
1958 86803 276778 156936 112672 0.7179 1.1252 0.519
1959 397380 364448 133259 88211 0.662 0.9405 0.3672
1960 288953 400688 114611 154651 1.3494 1.0411 0.4845
1961 130461 391055 129928 193224 1.4872 0.9942 0.637
1962 290185 346122 118846 187408 1.5769 1.0518 0.8005
1963 340061 310356 82631 146224 1.7696 1.1458 0.8652
1964 397118 301432 63818 99158 1.5538 1.3572 0.6525
1965 123978 357560 95394 118578 1.243 1.1507 0.4938
1966 293052 387189 127481 161778 1.269 1.1621 0.5838
1967 361268 467338 154495 136397 0.8829 0.9984 0.4152
1968 23865 421001 169448 181726 1.0725 0.9976 0.5032
1969 21372 342266 184063 130820 0.7107 0.882 0.3975
1970 201900 286413 156073 88257 0.5655 0.9762 0.358
1971 122159 345330 168562 78905 0.4681 0.7638 0.2468
1972 1248517 618185 122976 266153 2.1643 1.0883 0.6925
1973 341012 602898 114640 322226 2.8108 1.1656 0.537
1974 69040 602980 200594 221157 1.1025 0.8946 0.4322
1975 60032 492721 256165 175758 0.6861 0.8957 0.4275
1976 66739 307280 206695 137264 0.6641 1.12 0.571
1977 134109 228870 141805 110158 0.7768 1.09 0.6842
1978 212923 255775 130576 95422 0.7308 0.9219 0.5118
1979 175560 317943 129512 103623 0.8001 0.7684 0.552
1980 34645 342858 133178 87889 0.6599 0.7568 0.3982
1981 13382 292659 148182 77153 0.5207 0.7174 0.4015
1982 17350 211794 127206 46955 0.3691 0.7224 0.3093
1983 9548 104337 71467 24600 0.3442 1.0373 0.2715
1984 13434 83502 64118 20945 0.3267 1.0547 0.2498
1985 288301 182799 62012 45052 0.7265 0.9761 0.32
1986 527830 343193 62296 100563 1.6143 1.0484 0.4388
1987 109761 333920 75055 154916 2.064 0.992 0.5958
1988 54831 260035 78423 95255 1.2146 0.9955 0.499
1989 26591 212726 91989 58518 0.6361 0.9774 0.3892
1990 36931 170799 95307 27182 0.2852 1.0159 0.1562
1991 104273 195368 110525 36216 0.3277 1.0374 0.2082
1992 207549 269161 125748 59922 0.4765 0.9797 0.2838
1993 661570 442097 130405 82379 0.6317 1.0031 0.359
1994 292115 544752 148236 135186 0.912 1.0056 0.425
1995 97797 543330 165440 142448 0.861 1.0247 0.3828
1996 102160 473717 188933 178128 0.9428 1.0175 0.4235
1997 115480 350987 164381 154359 0.939 1.0519 0.4862
1998 58311 250404 124351 100630 0.8092 1.0113 0.4235
1999 230847 253416 93666 83195 0.8882 1.021 0.4212
2000 89236 252319 87386 68944 0.789 1.026 0.2802
2001 365889 358870 113312 89640 0.7911 0.9903 0.2792
2002 342042 445297 131813 114798 0.8709 1.011 0.3173
2003 223157 477243 154897 138926 0.8969 1.019 0.43
2004 224240 456772 161350 158279 0.981 1.0192 0.3815
2005 345633 471321 169615 158298 0.9333 1.0029 0.493
2006 155579 415557 144582 153157 1.0593 0.9938 0.4088
2007 664161 496669 141235 161525 1.1437 0.9916 0.4285
2008 1334075 737127 146844 155604 1.0597 0.9928 0.3952
2009 1450794 1078241 169700 200061 1.1789 1.0019 0.3572
2010 524017 1257239 237524 249200 1.0492 0.9994 0.2978
2011 243697 1282830 347281 309785 0.892 0.9978 0.32
2012 382605 1163293 427208 315627 0.7388 0.9994 0.2658
2013 149537 989123 469629 193744 0.4125 0.9967 0.1332
2014 376481 990579 513627 177522 0.3456 0.9968 0.1112
2015 100059 929113 528262 194756 0.3687 0.9953 0.159
2016 252390 834240 496074 233183 0.4701 1.0006 0.2268
2017 172479 704506 410993 227588 0.5538 0.994 0.3562
2018 321734 569472 295798 191276 0.6466 0.9943 0.4322
2019 732881 593040 213566 175402 0.8213 0.9963 0.5215
2020 381812 602431 169316 182468 1.0777 0.9962 0.587
2021 184361 542346 153608 204743 1.3329 0.9981 0.573
2022 59301 453987 150003 176906 1.1793 0.998 0.4768
2023 176914 491200 193180 178898 0.9261 0.9854 0.5082
Table 4.15. Northeast Arctic haddock. Summary XSA (p-shrinkage not applied, F shrinkage= 0.5).
YC R3 NT1 NT2 NAK1 NAK2 ECO1 ECO2
1990 812363 NA NA NA NA NA NA
1991 389416 NA NA 314.53 NA NA 348.73
1992 99474 NA 224.79 54.86 NA 187.96 41.47
1993 98946 604.20 199.52 55.84 887.82 88.59 29.97
1994 118812 1429.04 265.08 79.63 1198.18 94.52 57.27
1995 63028 300.78 90.81 21.68 132.6 26.51 33.78
1996 147657 1117.83 196.7 56.92 508.87 150.99 83.67
1997 83270 248.27 83.2 24.08 210.96 30.11 36.39
1998 359701 1207.98 437.22 294 653.4 404.77 233.45
1999 386866 832.3 446.84 312.87 1063.01 266.12 255.2
2000 332712 1230.98 475.31 352.24 753.01 267.9 203.68
2001 255646 1700.19 471.68 173.13 1315.15 362.35 151.01
2002 354171 3327.32 706.61 317.89 2743.74 466.54 221.33
2003 153663 700.86 386.39 78.8 528.97 143.98 56.32
2004 514191 4473.16 1310.22 443.27 2276.46 624.78 209.28
2005 1048186 4944.6 1684.83 1591.03 2091.11 953.5 812.41
2006 982329 3731.19 2042.01 1230.43 2015.71 1753.54 883.68
2007 235386 853.09 317.05 102.45 778.39 209.05 128.07
2008 117342 562.61 79.89 52.88 443.93 86.03 54.16
2009 331422 1634.82 353.87 316.08 1559.42 288.27 191.63
2010 117064 676.31 137.38 57.44 428.46 94.54 67.29
2011 399947 1866.96 490.28 381.17 1583.44 407.16 334.82
2012 71899 344.58 123.95 30.61 292.71 109.92 24.35
2013 206289 1281.4 342.02 163.38 1838.71 246.59 71.81
2014 191476 1133.97 561.96 134.94 1593.12 107.18 81.15
2015 353237 2299.37 770.04 336.31 1276 331.42 171.03
2016 774629 5065.43 1675.64 1075.55 3343.93 810.16 507.61
2017 414489 3823.29 1125.27 424.22 2925.9 687.8 286.32
2018 153939 1898.2 267.79 109.8 1544.96 260.72 50.76
2019 44626 110.62 25.12 12.2 272.94 15.69 11.4
2020 164015 406.3 110.3 82.5 431.68 70.2 77
2021 469037 1662.1 583.9 346.71 1797.1 511.1 337.4
2022 NA 1343.8 650.98 NA 1032.7 634.0 NA
2023 NA 2179.51 NA NA 1690.2 NA NA
Table 4.16. Northeast Arctic haddock. Input data for recruitment prediction (RCT3)- recruits as 3 year-olds. R3: recruitment estimate from SAM 2024. NT1: Norwegian Russian winter bottom trawl survey age 1 NT2: Norwegian Russian winter bottom trawl survey age. NAK1: Norwegian Russian winter acoustic survey age 1 NAK2: Norwegian Russian winter acoustic survey age 2. ECO1: Ecosystem survey age 1. ECO2: Ecosystem survey age 2. The Russian survey (RT) was discontinued in 2017 and has not been used for recruitment forecast since.
`yearclas s:2021`                
index slope intercept se rsquare n indices prediction se.pred WAP.weights
NT1 0.826 6.455 0.375 0.849 20 7.416 12.583 0.429 0.070
NT2 0.740 8.017 0.339 0.873 20 6.371 12.730 0.390 0.085
NT3 0.662 8.958 0.103 0.987 20 5.851 12.830 0.119 0.322
NAK1 1.141 4.336 0.536 0.734 20 7.494 12.884 0.620 0.033
NAK2 0.799 8.056 0.381 0.845 20 6.239 13.040 0.446 0.065
NAK3 0.757 8.765 0.161 0.968 20 5.824 13.172 0.191 0.322
`yearclas s:2022`                
index slope intercept se rsquare n indices prediction se.pred WAP.weights
NT1 0.849 6.326 0.403 0.827 20 7.204 12.444 0.460 0.192
NT2 0.754 7.956 0.348 0.866 20 6.480 12.843 0.401 0.253
NT3 NA NA NA NA NA NA NA NA NA
NAK1 1.141 4.331 0.517 0.744 20 6.941 12.248 0.590 0.117
NAK2 0.794 8.086 0.371 0.850 20 6.454 13.210 0.439 0.212
NAK3 NA NA NA NA NA NA NA NA NA
`yearclas s:2023`                
index slope intercept se rsquare n indices prediction se.pred WAP.weights
NT1 0.837 6.410 0.411 0.825 19 7.687 12.844 0.481 0.509
NT2 NA NA NA NA NA NA NA NA NA
NT3 NA NA NA NA NA NA NA NA NA
NAK1 1.126 4.419 0.515 0.750 19 7.433 12.786 0.600 0.327
NAK2 NA NA NA NA NA NA NA NA NA
NAK3 NA NA NA NA NA NA NA NA NA
  WAP logWAP int.se            
yearclass:2021 431599 12.98 0.08925            
yearclass:2022 352595 12.77 0.20178            
yearclass:2023 340315 12.74 0.34302            
Table 4.17. Northeast Arctic haddock Analysis by RCT3 ver3.1 - R translation. Data for 6 surveys over 34 year classes : 1990 – 2023 Regression type = C, Tapered time weighting applied, power = 3 over 20 years, Survey weighting not applied, Final estimates shrunk towards mean, Estimates with S.E.'S greater than that of mean included, Minimum S.E. for any survey taken as 0.2, Minimum of 3 points used for regression, Forecast/Hindcast variance correction used.
2024                
Age N M Mat PF PM SWt Sel CWt
3 469037 0.302 0.032 0 0 0.294 0.0450 0.723
4 105164 0.229 0.077 0 0 0.463 0.1810 0.872
5 18270 0.213 0.283 0 0 0.94 0.3960 1.285
6 52217 0.215 0.455 0 0 1.204 0.6050 1.455
7 44856 0.2 0.629 0 0 1.486 0.6180 1.667
8 34295 0.2 0.769 0 0 1.798 0.5870 1.947
9 4681 0.2 0.885 0 0 2.281 0.5870 2.227
10 1276 0.2 0.957 0 0 3.065 0.5870 2.594
11 611 0.2 1.000 0 0 3.515 0.5870 2.863
12 321 0.2 1.000 0 0 3.648 0.5870 3.227
13 713 0.2 1.000 0 0 4.137 0.5870 3.603
2025                
Age N M Mat PF PM SWt Sel CWt
3 352595 0.302 0.031 0 0 0.291 0.045 0.72
4 0 0.229 0.099 0 0 0.54 0.181 0.955
5 0 0.213 0.194 0 0 0.741 0.396 1.103
6 0 0.215 0.521 0 0 1.315 0.605 1.556
7 0 0.2 0.698 0 0 1.586 0.618 1.726
8 0 0.2 0.819 0 0 1.858 0.587 1.942
9 0 0.2 0.898 0 0 2.177 0.587 2.197
10 0 0.2 0.955 0 0 2.676 0.587 2.509
11 0 0.2 1.000 0 0 3.468 0.587 2.794
12 0 0.2 1.000 0 0 3.681 0.587 3.055
13 0 0.2 1.000 0 0 3.964 0.587 3.606
2026                
Age N M Mat PF PM SWt Sel CWt
3 340315 0.302 0.029 0 0 0.282 0.045 0.711
4 0 0.229 0.098 0 0 0.534 0.181 0.949
5 0 0.213 0.242 0 0 0.852 0.396 1.205
6 0 0.215 0.394 0 0 1.057 0.605 1.321
7 0 0.2 0.742 0 0 1.709 0.618 1.799
8 0 0.2 0.847 0 0 1.974 0.587 1.992
9 0 0.2 0.908 0 0 2.246 0.587 2.192
10 0 0.2 0.947 0 0 2.571 0.587 2.485
11 0 0.2 1.000 0 0 3.058 0.587 2.722
12 0 0.2 1.000 0 0 3.648 0.587 3.008
13 0 0.2 1.000 0 0 3.998 0.587 3.467
Table 4.18. Northeast Arctic haddock. Prediction with management option table: Input data (based on SAM estimates and forecast estimates according to stock annex).

(TAC constraint applied for intermediate year) MFDP R version. Run22 data from file fhcr_fmgmt.xls. Input units are thousands and kg - output in tonnes

2024            
Biomass SSB FMult FBar Landings  
415806 150433 1.0962 0.4933 141000    
2025         2026  
Biomass SSB FMult FBar Landings Biomass SSB
455463 128267 0 0 0 640041 202674
. . 0.1 0.045 15525 626015 194426
. . 0.2 0.09 30476 612564 186597
. . 0.3 0.135 44880 599662 179164
. . 0.4 0.18 58762 587279 172106
. . 0.5 0.225 72148 575391 165401
. . 0.6 0.27 85059 563973 159031
. . 0.7 0.315 97520 553003 152978
. . 0.8 0.36 109549 542458 147224
. . 0.9 0.405 121167 532317 141753
. . 1 0.45 132393 522562 136550
. . 1.1 0.495 143245 513173 131600
. . 1.2 0.54 153738 504134 126890
. . 1.3 0.585 163890 495428 122408
. . 1.4 0.63 173715 487038 118140
. . 1.5 0.675 183228 478950 114075
. . 1.6 0.72 192442 471151 110203
. . 1.7 0.765 201371 463626 106513
. . 1.8 0.81 210027 456363 102995
. . 1.9 0.855 218421 449350 99642
. . 2 0.9 226564 442575 96443
Table 4.19. Northeast Arctic haddock. Prediction with management option table for 2024-2026

 

 

Table 4.20. Northeast Arctic haddock. Prediction single option table for 2023-2025 based on HCRMFDP R version, data from file fhcr_fmgmt.xls Fbar age range: 4-7. Input units are thousands and kg - output in tonnes
Year: 2024 F multiplier: 1.0962 Fbar: 0.4933  
age CatchN CatchYield F SSB (Jan) StockBiomass (Jan) StockN (Jan)
3 19510 14106 0.0493 4413 137897 469037
4 16980 14807 0.1984 3749 48691 105164
5 5839 7504 0.4341 4860 17174 18270
6 23048 33535 0.6632 28606 62869 52217
7 20231 33725 0.6775 41927 66656 44856
8 14908 29025 0.6435 47418 61662 34295
9 2035 4531 0.6435 9449 10677 4681
10 555 1439 0.6435 3743 3910.9 1276
11 266 760 0.6435 2148 2147.7 611
12 140 450 0.6435 1171 1171 321
13 310 1117 0.6435 2950 2949.7 713
TOTAL 103822 141000   150433 415806 731441
Year: 2025 F multiplier: 0.7778 Fbar: 0.35  
age CatchN CatchYield F SSB (Jan) StockBiomass (Jan) StockN (Jan)
3 10477 7543 0.035 3181 102605 352595
4 38845 37097 0.1408 17646 178246 330085
5 16465 18161 0.308 9860 50823 68587
6 3258 5069 0.4706 6553 12578 9565.4
7 7565 13057 0.4807 24019 34412 21697
8 6244 12125 0.4566 28383 34656 18652
9 4939 10850 0.4566 28843 32119 14754
10 674 1691 0.4566 5146 5388.9 2013.8
11 184 513 0.4566 1904 1903.7 548.94
12 88 269 0.4566 968 967.57 262.85
13 149 537 0.4566 1763 1763.3 444.83
TOTAL 88886 106912   128267 455463 819206
Year: 2026 F multiplier: 0.6487 Fbar: 0.32  
age CatchN CatchYield F SSB (Jan) StockBiomass (Jan) StockN (Jan)
3 9211 6549 0.0318 2783 95969 340315
4 27107 25725 0.1281 13173 134419 251721
5 50436 60776 0.2802 47021 194300 228052
6 12861 16989 0.4280 16965 43057 40736
7 1558 2803 0.4372 6111 8236 4819.1
8 3407 6787 0.4153 18366 21684 10985
9 3000 6577 0.4153 19728 21727 9673.8
10 2373 5897 0.4153 18630 19673 7651.9
11 324 882 0.4153 3194 3194 1044.4
12 88 266 0.4153 1039 1039 284.7
13 114 395 0.4153 1467 1467 367.03
TOTAL 110480 133645   148477 544765 895649

 

Summary graphs
Figure 4.1 Northeast Arctic haddock landings (top left 1950-2023), fishing mortality (top right 1950-2023), recruitment (bottom left 1950-2024), and total stock biomass for ages 3+ (TSB) and spawning-stock biomass (SSB) (bottom right 1950–202 4 ). The reference points in the SSB and TSB plot refers to the spawning stock biomass. Fishing mortality and total and spawning stock biomass are given with point wise 95% confidence intervals (shaded areas), recruitment is given with upper 95% confidence interval (bar).

 

 

residuals
Figure 4.2. Northeast Arctic haddock; one step ahead residuals for the final SAM run 2024. Blue circles indicate positive residuals (observations larger than predicted) and red circles indicate negative residuals.

 

retros
Figure 4.3.

 

retro
Figure 4.3. Northeast Arctic haddock. 5 year retrospective plots of Recruitment (top left), catch (top middle) and TSB (top right), SSB (bottom left), and fishing mortality TSB (bottom right) for years 1950–2024 (2023 catches and F) (SAM with 95% confidence intervals).

 

 

comparison
Figure 4.4. Results of assessment of NEA haddock. Fbar (4-7), TSB, recruits and SSB from AFWG 2022 (orange), JRN-AFWG 2023 (green) and this year’s (2024) assessment (red) from 2001 and onwards. The last black circles on the lines for JRN-AFWG 2022 and 2023 are forecasts for 2023 and 2024.
retrospective plots
Figure 4.5. Northeast Arctic haddock. Retrospective plots of SSB, fishing mortality and recruitment for assessment years 1950–2023 (left - XSA without P shrinkage, F shrinkage= 0.5) and right - for assessment years 1990–2023 from the TSVPA model.
   
   

 

 

model comparison
Figure 4.6. Comparison of results of assessment of NEA haddock. Recruits, biomass, spawning biomass and F in 1990–2023 by different models: median SAM estimates, XSA with setting mentioned at section 4.9 and TISVPA with settings established in WKDEM 2020.

 

 

selection pattern
Figure 4.7 Standard selection pattern model (red) used for short-term forecasts at the current meeting.

 

 

Catch by age
Figure 4.8 Catch in numbers in 2022 (left), 2023 (middle) and 2024 (left). Catch in numbers is in blue, forecasts for intermediate years are in orange, forecasts for Quota years are in grey and forecasts for Quota year + 1 in yellow. The numbers are taken for the working group reports from 2021, 2022, 2023 and 2024.

 

age structure
Figure 4.9.

 

age structure
Figure 4.9. Age structure from assessment (2009-2024) and prediction (2025-2026).

 

 

catch projection by age
Figure 4.10 Forecasted catch for 2024 (blue), 2025 (orange) and 2026 (grey), left in biomass, right in numbers, all numbers taken from Table 4.20 this year’s report.

Chapter 6. Beaked redfish in subareas 1 and 2 (Northeast Arctic)

Status of the fisheries

Development of the fishery

A description of the historical development of the fishery in subareas 1 and 2 is found in the ICES stock annex (ICES 2018c) for this stock.

An international pelagic fishery for S. mentella in the Norwegian Sea outside EEZs has developed since 2004 (Figure 6.1). This pelagic fishery, which is further described in the stock annex, is managed by the Northeast Atlantic Fisheries Commission (NEAFC). Since 2014 the directed demersal and pelagic fisheries are reopened in the Norwegian Economic Zone, the Fisheries Protection Zone around Svalbard and, for pelagic fisheries only, in the Fishing Zone around Jan Mayen. The spatial regulation for this fishery is illustrated in Figures 6.2 and 6.3. In 2021, most of the catches of S. mentella from the Russian and Norwegian fisheries were taken in the Norwegian Exclusive Economic Zone.

Figure 6.2 shows the distribution of catch among national fishing fleets for 2018 to 2023 and the location of Norwegian S. mentella catches in the Norwegian EEZ in 2023 as well as bycatch in other areas. The 44th Session of the Joint Norwegian-Russian Fisheries Commission decided to split the total TAC among countries as follows: Norway: 72%, Russia: 18%, Third countries: 10% (as bycatch in the fishery protection zone at Svalbard (Spitsbergen): 4.1%, and international waters of the Norwegian Sea (NEAFC-area): 5.9%). This split was reconducted at the 51st session of the commission in 2021.

Bycatch in other fisheries

During 2003–2013, all catches of S. mentella, except the pelagic fishery in the Norwegian Sea outside EEZ, were taken as bycatches in other fisheries. Some of the pelagic catches are taken as bycatches in the blue whiting and herring fisheries. From 2014 onwards most of the catch is taken as targeted catch and no longer as bycatch, following the opening of a targeted fishery in the Norwegian EEZ, Svalbard Fisheries Protection Zone and around Jan Mayen. When fishing for other species it has since 2013 been allowed to have up to 20% redfish (both species together) in round weight as bycatch outside 12 nautical miles and only 10% bycatch inside 12 nautical miles to better protect S. norvegicus.

Landings prior to 2024 (Tables 6.1–6.7, Figure 6.1)

Nominal catches of S. mentella by country for subareas 1 and 2 combined are presented in Table 6.1, while they are presented separately for Subarea 1 and divisions 2.a and 2.b in Tables 6.2–6.4. The pelagic catch of S. mentella in the Norwegian Sea outside EEZs reported to NEAFC and/or ICES amounted to 7 739 t in 2018, 6060 t in 2019, 5469 t in 2020, 2 872 t in 2021, 2 680t in 2022 and only 5t in 2023, as shown by country in Table 6.5. Nominal catches for both redfish species combined (i.e. S. mentella and S. norvegicus) by country are presented in Table 6.6. The sources of information used are catches reported to ICES, NEAFC, Norwegian and Russian authorities (foreign vessels fishing in the Norwegian and Russian economic zones) or direct reporting to the AFWG. Where catches are reported as Sebastes sp., they are split into S. norvegicus and S. mentella by AFWG experts based on available correlation between official catches of these two species in the considered areas. All tables have been updated for 2023, and new figures presented for 2023. Total international landings in 1952–2023 are also shown in Figure 6.1.

In 2014, ICES advised that the annual catch in 2015, 2016, and 2017 should be set at no more than 30 000 t and in 2017, ICES advised that the annual catch in 2018 should not exceed 32 658 t. Following the ICES benchmark (WKREDFISH, ICES 2018a) and the subsequent evaluation of a management plan for the stock (WKREBMSE, ICES 2018b) ICES advised an annual catch of no more than 53 757 t for 2019 and 55 860 t in 2020, corresponding to a fishing mortality of F = 0.06. This was continued in 2020, when ICES advised an annual catch of no more than 66 158 t in 2021 and 67 210 t in 2022, still corresponding to F = 0.06. JRN-AFWG advised an annual catch of no more than 66 779t in 2023 and 70 164t in 2024, corresponding to F = 0.097.

Because of the novelty of the situation, related with reopening fisheries after 10 years of its ban, the total landings of S. mentella in subareas 1 and 2 in 2014, demersal and pelagic catches, amounted to only 18 426 t, then increased from 34 754 t in 2016 to 63 479 t in 2021. This catch was 60 466 t in 2023, of which only 5 t were reported from the pelagic fishery in international waters of the Norwegian Sea. The total landings in 2017 and 2018 were respectively 783 t and 5 388 t above the TAC advised by ICES, but were 8 117 t, 2 229 t, 2 679 t, 5 016 t and below the advised TAC in the years 2019-2022, respectively. The catch was 6 313 t below the TAC advised by the JRN-AFWG in 2023. Norway caught the major share of the demersal catches, but Russian demersal catches increased substantially after 2017, particularly in ICES Division 2.b.

The redfish population in Subarea 4 (North Sea) is believed to belong to the Northeast Arctic stock. Since this area is outside the traditional areas handled by this Working Group, the catches are not included in the assessment. The total redfish landings (golden and beaked redfish combined) from Subarea 4 were up to 2003 between 1000–3000 t per year. Since 2005 the annual landings from this area have varied between 85 and 341 t (Table 6.7).

Expected landings in 2024

JRN-AFWG has advised on the basis of precautionary considerations that the annual catch should be set at no more than 70 164 t in 2024. The 53st sessions of the Joint Norwegian-Russian Fisheries Commission decided to follow this advice.

In 2024, Norwegian fishing vessels can catch and land up to 46 418 t of redfish in the Norwegian economic zone (NEZ) in a limited area north of 65°20’N (see map in Figure 6.3), in international waters and the fisheries zone around Jan Mayen. Only vessels with cod and saithe trawl permits can participate in the directed fishery for redfish. Each vessel which has the right to participate is assigned a maximum quota, which can be adjusted during the year, per how much of the national quota is exploited. The fishery may be stopped if the total quota is reached. This quota must also cover catches of redfish (both species) in other fisheries. It is prohibited to fish for redfish with bottom trawls in the period from 1 March until 10 May. Investigations were conducted in 2015–2016 to see if the protection of females during the main time of larvae release should be improved by extending the period of prohibited fishing until later in May, and to see if the area south of Bear Island (Area 20 in Figure 6.3) can be opened for directed fishing, either with or without sorting grid, and permissions were granted to a small number of vessels of the Norwegian reference fleet for an earlier onset of fishing to gain further data. The hitherto conclusion is that males dominated the catches (more than 70%) in the main fishing areas south and southwest of Bear Island during the investigations from late April until the directed fishery started on 10 May, and that the area south of Bear Island should stay closed during January-February due to smaller S. mentella inhabiting this area at the beginning of the year. 

Since 2015, Russia has had access to the NEZ when fishing their quota share. In 2024 Russia may fish 15 730 t including transfer from Norway to Russia. The remaining 8 016 t are divided between third countries in the NEZ and Svalbard Zone and the NEAFC areas.

Catch in the NEAFC areas in 2023 amounted to 5 t while the catch in the national economic zones of Norway and Russia as well as the fisheries protection zone around Svalbard was 60 461 t. The total catch in 2023 was 6313 t lower than the agreed TAC.

Data used in the assessment

Analytical assessment was conducted for this stock following recommendation from the benchmark assessment working group (WKREDFISH, ICES 2018a). Input datasets were updated with the most recently available data. The analytical assessment, based on a statistical catch-at-age model (SCAA), covers the period 1992–2023. The input data consists of the following tables:

  • Total catch in tonnes (Table 6.1)

  • Catch in tonnes in the pelagic fishery Norwegian Sea outside EEZs (Table 6.5)

  • Total catch numbers-at-age 6–19+ (Table 6.8)

  • Catch numbers-at-age 7–19+ in the pelagic fishery (Table 6.9)

  • Weight-at-age 2–19+ in the population (Table 6.12)

  • Maturity-at-age 2–19+ in the population (Table 6.14)

  • Russian autumn survey numbers-at-age 0–11 (Table 6.15)

  • Ecosystem survey numbers-at-age 2–15 (Table 6.17)

  • Winter survey numbers-at-age 2–15 (Table 6.18b)

  • Deep pelagic ecosystem survey proportions-at-age (Table 6.19)

There was no direct observation of catch numbers-at-age for the pelagic fishery in the Norwegian Sea outside EEZs in 2012–2023. Instead, numbers-at-age were estimated based on catch-at-age from previous or following year, and weight-at-age and fleet selectivities (section 6.2.2 in AFWG report 2013). In 2013, 2016, 2019 and 2022, observations from the scientific survey in the Norwegian Sea were used to derive numbers-at-age in the pelagic fishery. This was considered appropriate given that the survey operates in the area of the fishery, with a commercial pelagic trawl and at the time of the start of the fishery.

Length- composition from the fishery (Figure 6.4)

Comparison of length distributions of the Norwegian and Russian catches of S. mentella in 2022–2023 are shown in Figure 6.4. In 2022, the length distributions from Russian and Norwegian fleets were almost identical, with maximum catches around 38 cm length. In 2023, length of beaked redfish in Norwegian catches was slightly larger than in Russian catches. This may be due to differences in the fishing areas. The Russian fleet largely operated in area 2b, and the Norwegian fleet in area 2a.

Catch-at-age (Tables 6.8–6.11, Figure 6.5)

For JRN-AFWG 2022, catch-at-age in the Norwegian fishery was estimated using StoX-Reca for 2014 and 2020. For 2015, 2016 and 2018, running StoX-Reca failed and catch-at-age for the Norwegian Fishery was estimated using the older Biomass program in SAS (Table 6.8).

Not enough age readings were available to estimate catch-at-age in 2017, 2019 and 2021. For the pelagic fisheries 2017, 2018, 2020 and 2021 (Table 6.9) proportions-at-age in the catch were derived from proportions at-age in earlier years, weight-at-age and fleet selectivity (section 6.2.2 in AFWG report 2013). This procedure for estimating catch-at-age for recent years in which age data are not available is somewhat problematic. This is because the last year of observation has a large effect on the estimated catch-at-age for several years. At the assessment working group in 2017 and at the benchmark assessment in January 2018, the last year of observations for the catch-at-age was 2014 and the values for the years 2015 and 2016 were extrapolated. Once available, the data for 2015 (demersal) and 2016 (pelagic) were substantially different from these earlier extrapolations. In the 2022 assessment the catch-at-age observations in 2018, had a large effect on the years around it, producing a very large proportion of the 19+ class in the catch and a correspondingly high F19+. As the age structure in 2018 was based on less than 1000 aged fish it was decided to use a time-averaged age-length-key (ALK) to convert the length distribution in 2017-2019 and in 2021 to an age distribution. The time-averaged ALK is based on the Norwegian age-length data back to 2009, excluding the years 2017, 2019 and 2021 and on commercial catches with demersal gears. The conversion still produced a fraction of the 19+-group of >60% but F19+ was lower than in the standard method.

Several other options were considered. Firstly, extrapolation as in the standard method but extrapolating also the 19+-group and then rescaling to sum up to 100%, rather than calculating the 19+ as the difference between other ages and 100%. Secondly, calculating the fraction of each age-class as an average of the same cohort’s fraction in the year before and after. Thirdly, as an average of the fraction of the same age-class in the last 3 years with data or last 3 calendar years. Finally, using a combined Russian-Norwegian ALK for individual years. Whilst some of these options produced lower fishing mortalities for the 19+-group, the change in observed selectivity for the demersal catches since 2017 remained largely the same. Therefore, the option of a common ALK across years was chosen because a as the option with the most sensible underlying reasoning.

Age composition of the Russian and Norwegian catches in 2021 was calculated using the age–length key, based on Russian age readings. The joint age–length key for the last three years (2019–2021) was applied. In general, the age distribution in the Norwegian fishery was shifted towards older fish compared to the Russian fishery. In the Russian catches fish at age 15–16 dominated, while in the Norwegian catches 16–17 years old made up the majority of the catches. (Figure 6.5). The proportion (by numbers) of individuals at age 18 and older in the Norwegian catches was almost twice as large as in the Russian ones.

For JRN-AFWG 2024, StoX-Reca again failed in producing catch-at-age data for Norwegian catch in 2022. In addition, the older Biomass program could not be run. A simplified method was therefore used. Catch-at-length was calculated (by gear “bottom trawl” and “pelagic trawl”, and by stratum “Norwegian statistical area 12/20” and “other areas”) through a length-weight relationship and length distributions from the Norwegian reference fleet. An age-length-key was used to convert catch-at-length to catch-at-age. Ages were not available for 2023, and proportions-at-age in the catch were derived from proportions at-age in earlier years, similar to earlier years.

Catch-at-age for the pelagic fleet in 2022 was derived from proportion-at-age in the scientific survey in the Norwegian Sea. Catch-at-age for the 2023 pelagic catches (only 5 tonnes) were extrapolated for 2023 like earlier years.

Age–length-keys for S. mentella are uncertain because of the slow growth rate of individuals and therefore these data should be used with caution. Given that age is difficult to derive from length it is important that age readings are available for the most recent years, at the time of the working group.

Weight-at-age (Tables 6.12, 6.13, Figures 6.6, 6.7)

In earlier assessment, weight-at-age in the stock was set equal to the weight-at-age in the catch. This turned out to be problematic because of important fluctuations in reported weight-at-age in the catch that cannot be explained biologically (i.e. these are noisy data). In 2015, it was advised to either use a fixed weight-at-age for the 19+ group, or use a modelled weight-at-age based on catch and survey records (Planque, 2015). The second option was chosen. Weight-at-age in the population was modelled for each year using mixed-effect models of a von Bertalanffy growth function (in weight). In 2018 an attempt was made to model weight-at-age for each cohort (rather than each year of observation). This showed that the growth function is nearly invariant between cohorts. Therefore, it was decided to use a fixed (i.e. common to all years) weight-at-age as input to the Statistical Catch-at-age model. The observed and modelled weight-at-age are presented in Table 6.12 as well as Figures 6.6 and 6.7 (not updated after 2019).

Maturity-at-age (Table 6.14, Figure 6.8)

The proportion maturity-at-age was estimated for individual years using a mixed-effect statistical model (Table 6.14, Figure 6.8). Since JRN-AFWG 2024 maturity-at-age used in the statistical catch-at-age model are identical for every year, based on average values from the previous years.

Natural mortality

In previous years, natural mortality for S. mentella was set to 0.05 for all ages and all years. This was based on life-history correlates presented in Hoenig (1983). Thirty-nine alternative mortality estimates were explored during the 2018 benchmark workshop, based on the review work by Kenchington (2014) and several additional recent papers (Then et al., 2014; Hamel, 2014; Charnov et al., 2013). Overall, the mode of these natural mortality estimates is 0.058 which departs only slightly from the original estimate of 0.050 (Figure 6.9). WKREDFISH (ICES, 2018a) decided to continue using 0.050 as the value of M in the assessment model. These estimates were updated for a peer-reviewed paper submitted in 2022 (Höffle and Planque, 2023) with 44 estimators resulting in a mode of the distribution of 0.07.

Figure 6.10 shows cod’s predation on juvenile (5–14 cm) redfish during 1984–2020. This time-series confirms the presence of redfish juveniles and may be used as an indicator of redfish abundance. A clear difference is seen between the abundance/consumption ratio in the 1980s and at present. A change in survey trawl catchability (smaller meshes) from 1993 onwards (Jakobsen et al., 1997) and/or a change in the cod’s prey preference may cause this difference. As long as the trawl survey time-series has not been corrected for the change in catchability, the abundance index of juvenile redfish less than 15 cm during the 1980s might have been considerably higher, if this change in catchability had been corrected for. The decrease in the abundance of young redfish in the surveys during the 1990s is consistent with the decline in the consumption of redfish by cod. It is important that the estimation of the consumption of redfish by cod is being continued.

Scientific surveys

Following a dedicated review, ICES AFWG approved the use of the new SToX versions of winter and ecosystem surveys for use in the S. mentella assessment (WD 17 and WD 18 in ICES AFWG 2020). The group recommended that the data be monitored annually to identify if a significant portion of the mentella stock moves east of the strata system. The group further recommended that work continues to investigate redfish-specific strata systems for the winter survey.

The results from the following research vessel survey series were evaluated by the Working Group:

Surveys in the Barents Sea and Svalbard area (Tables 1.1, 1.2, 6.15–6.18, Figures 6.11, 6.12)

Russian bottom-trawl survey in the Svalbard and Barents Sea areas in October-December for 1978–2015 in fishing depths of 100–900 m (Table 6.15, Figure 6.11). ICES acronym: RU-BTr-Q4.

Russian-Norwegian Barents Sea ‘Ecosystem survey’ (bottom-trawl survey, August-September) from 1986–2023 in fishing depths of 100–500 m (Figures 6.11–6.12). Data disaggregated by age for the period 1996–2009, 2011-2015, 2017 and 2019 (Tables 6.16b-6.17). ICES acronym: Since 2003 part of Eco-NoRu-Q3 (BTr), survey code: A5216.

Winter Barents Sea seabed-trawl survey (February) from 1986–2023 (jointly with Russia since 2000, except 2006 and 2007) in fishing depths of 100–500 m (Figures 6.11–6.12). Data disaggregated by age for the period 1992–2011, 2013, 2018 and 2020 (Table 6.18b). ICES acronym: BS-NoRu-Q1 (BTr), survey code: A6996.

The Norwegian survey initially designed for redfish and Greenland halibut is now part of the ecosystem survey and covers the Norwegian Economic Zone (NEZ) and Svalbard Fisheries Protection Zone incl. north and east of Spitsbergen during August 1996–2012 from less than 100 m to 800 m depth. This survey includes survey no. 2 above, and has been a joint survey with Russia since 2003, and since then called the Ecosystem survey. ICES acronym: Eco-NoRu-Q3 (Btr), survey code: A5216.

Pelagic survey in the Norwegian Sea (Table 6.19, Figures 6.13, 6.14)

The international deep pelagic ecosystem survey in the Norwegian Sea (WGIDEEPS, ICES 2016, survey code: A3357) monitors deep pelagic ecosystems, focusing on beaked redfish (S. mentella). The latest survey was conducted in the open Norwegian Sea from 22 July until 12 August 2022, following similar surveys in 2008, 2009, 2013, 2016 and 2019. The spatial coverage of the 2022 survey and the catch rates of beaked redfish in the 2019 survey are presented in Figure 6.13. The survey is scheduled every third year. Estimated numbers-at-age from this survey were presented at the benchmark assessment in 2018 and used in the SCAA model. Data for 2016 was updated in 2019, using additional age readings and numbers-at-age for the 2019 survey were presented during AFWG 2020, used in the assessment and updated for AFWG 2021. The details of the data preparation, using StoX, are available from WD7 of AFWG 2018 (Planque et al., 2018). The data used as input to the analytical assessment consists of proportions-at-age from age 2 to 75 years (Figure 6.14).

Additional surveys (Figures 6.15–6.17)

The international 0-group survey in the Svalbard and Barents Sea areas in August-September 1980–2023, is now part of the Ecosystem survey (Figures 6.15 and 6.16). ICES acronym: Eco-NoRu-Q3 (Btr), survey code: A5216.

A slope survey, “Egga-sør survey” was carried out by IMR from 29 February to 23 March 2024, following similar surveys in 2009, 2012, 2014, 2016, 2018, 2020 and 2022. The spatial coverage of the 2022 survey and the distribution of beaked redfish registered by acoustic is presented in Figure 6.17. Egga-Sør and Egga-Nord surveys operate on a biennial basis. The length and age distributions of beaked redfish from these surveys show consistent ageing in the population and gradual incoming of new cohorts after the recruitment failure period. These surveys are considered as candidates for data input to the analytical assessment of S. mentella (see also Planque, 2016).

Assessment

The group performed the analytical assessment using the statistical catch-at-age (SCAA) model reviewed at the benchmark in January 2018 (WKREDFISH, ICES 2018a). The model was configured as the benchmark baseline model which includes 53 parameters to be estimated and the model converged correctly.

Results of the assessment (Tables 6.20, 6.21, Figures 6.18–6.24)

Stock trends

The temporal patterns in recruitment-at-age 2 (Figures 6.18, 6.21) imply recruitment failure for the year classes 1996 to 2003 and indicate a return to high levels of recruitment. The estimates of year-class strength for recent years are uncertain due to limited age data from the winter and ecosystem surveys. Modelled spawning-stock biomass (SSB) increased from 1992 to 2007 (Table 6.21). In the late 2000s the total-stock biomass (TSB) consisted of a larger proportion of mature fish than in the 1990s. This is reversing as individuals from new successful year classes, but still immature, are growing. TSB has increased from about 1.0 to slightly below 1.5 million tonnes in the last 10 years (Table 6.21 and Figures 6.21–6.22). The concurrent decline in SSB from 2007 to 2014 can be attributed to the weak year classes (1996–2003) entering the mature stock. This trend has levelled off, and SSB has increased every year after 2017. SSB at the start of 2022 is estimated at 1 074 827 t.

Fishing mortality (Tables 6.20a,b–6.21, Figure 6.19)

The patterns of fleet selectivity-at-age indicate that most of the fish captured by the demersal fleet as well as the pelagic fleet in 2023 are of age 15 and older (Tables 6.20a,b and Figure 6.19). Model results at the benchmark workshop did show a gradual shift in the demersal selectivity towards older ages, a shift that was not observed after the 2015 catch-at-age data were incorporated in the model. This shift towards older ages is now again visible in the data from 2017 onwards, similar to what was observed in 2014. In 2023 F19+ is estimated at 0.08 (Table 6.21), with 0.077 for the demersal and 0.0002 for the pelagic fleets (Table 6.20a), respectively.

Survey selectivity patterns (Figure 6.20)

Winter and ecosystem surveys selectivity at age are very similar and show reduced selectivity for age 8 years and older, which is consistent with the known geographical distribution of different life stages of S. mentella (Figure 6.20). Conversely, the Russian survey shows a reduced selectivity for age 7 years and younger. This is believed to result from gear selectivity.

Residual patterns (Figure 6.23)

Residual patterns in catch and survey indices are presented in Figure 6.23a-e. There is generally no visible trend in the residuals for the Russian groundfish survey neither by age nor by year. Trends in residuals are visible in recent years for winter and ecosystem surveys and will need to be investigated further. Alternative methods for the estimation of the survey selectivity patterns will be investigated in the benchmark assessment planned for 2026 and could resolve the issue. Residual patterns for the demersal fleet indicate a similar fit of the model compared to AFWG 2018, when a time varying selectivity-at-age for this fleet was introduced.

Retrospective patterns (Figure 6.24)

The historical and analytical retrospective patterns for the years 2007 to 2016 are presented in Figures 6.24 and 6.25. All model parameters were estimated in each individual run. The most recent model run (last year of data 2023) is consistent with previous runs. As observed in previous assessments, the SSB time-series is smoother than before, due to fixed weight-at-age for every year. New data led to an increase in estimated SSB, up to >26% in the early years and around 2% to 4% in later years. The benchmark run stands out and this is due to the unavailability of recent catch-at-age data during the benchmark assessment (see section 6.2.2). The analytical retrospectives back to 2022 showed similar or up to ca. 7% upwards revision in SSB. The analytical retrospectives showed a consistent pattern for F12-18 until 2018 after which it started to deviate. Likewise, the pattern for F19+ was very similar in the analytical retrospectives, with small deviations from 2018 onwards.

Projections

FMSY at age 19+ is approximated using F0.1 and estimated at 0.084 (section 1.4 of the WKREBMSE report, ICES 2018b).

The estimated fishing mortality in 2023 is: F19+ = 0.077.

If the fishing mortality is maintained, this is expected to lead to a catch of 64 029 t in 2024, more than 6 000 t less than the advised TAC for 2024. This would lead to a SSB of 1 094 860 t in early 2025, catches of 67 191 t in 2025 and a SSB of 1 105 628 t in 2026. Zero catch in 2025 and 2026 would lead to SSB values of 1 168 451 t in 2026 and 1 246 963 t in 2027.

These projections assume that the selectivity patterns of the demersal and pelagic fleets are identical with those estimated for 2023. It is also assumed that the ratio of fishing mortality between these two fleets remains unchanged.

Additional considerations

Historical fluctuations in the recruitment-at-age 2 (Figures 6.18 and 6.21) are consistent with the 0-group survey index (Figure 6.16), although the 0-group survey index is not used as an input to the SCAA.

The population age structure derived from the model outputs for the old individuals (beyond 19+, Figure 6.22) is consistent with the age structure reported from the slope surveys although these are not yet used as input to the model.

Recent recruitment levels estimated with SCAA are highly uncertain since they rely on only a few years of observations and since the age readings from winter survey were not available for most of the recent years (i.e., not available in 2012, 2014-2017, 2019 or 2021-2023). The use of the autoregressive model for recruitment (random effects in the SCAA) which was introduced in 2018 allows for a projection of the recruitment in recent years, despite the current lack of age data.

Assessment summary (Table 6.21, Figure 6.21)

The history of the stock as described by the SCAA model for the period 1992–2023 is summarized in Table 6.21 and Figure 6.21. The key elements are as follows:

  • upward trend in Total-stock biomass from 1992 to 2006 followed by stabilization until 2011 and a new upward trend until the present,

  • upward trend in spawning-stock biomass from 1992 to 2007 followed by stabilization (or slight decline) until 2014 and subsequent increase,

  • recruitment failure for year classes 1996–2003 (2y old fish in 1998–2005),

  • good (although uncertain) recruitment for year classes born after 2005. Age data for recruits (at age 2y) after 2014 is limited.

  • Annual fishing mortality for the 19+ group throughout the assessment period varied between 0.002 and 0.085.

Comments to the assessment

Currently, the survey series used in the SCAA do not appropriately cover the geographical distribution of the adult population. Data from the pelagic survey in the Norwegian Sea has been reviewed in the last benchmark and is now included in the assessment model. Priority should be given to including additional data from the slope surveys that include older age groups, in analytical assessments in future (WD 5 in 2016).

The SCAA model relies on the availability of reliable age data in surveys and in the catch, and it requires a continuous effort to keep these data at an appropriate level.

Biological reference points

The proposed reference points estimated during the workshop on the management plan for S. mentella in (ICES 2018b) were:

Reference points
Reference point Value
Blim 227 000 t
Bpa 315 000 t
FMSY19+= F0.1 0.084

Which are revised from those set during the benchmark in the same year (ICES 2018a) which were Bpa = 450 kt, Blim = 324 kt and FMSY19+ = F0.1 = 0.08.

Management advice

The present report updates the assessment and advises that when the status quo approach is applied, catches in 2025 should be no more than 67 191 tonnes, and catches in 2024 should be no more than 69 177 tonnes. This would correspond to a fishing mortality of F19+ = 0.077, whilst fishing pressure across the fishable age-classes would remain nearly constant.

Possible future development of the assessment

Many developments suggested in earlier years were presented and evaluated at the benchmark in January 2018. These include integrating a stochastic process model i) for recruitment-at-age 2, ii) for the annual component of fishing mortalities, and iii) to account for annual changes in fleet selectivities-at-age. In addition, iv) a right trapezoid population matrix, v) coding of older ages into flexible predefined age-blocks, and vi) integrating of data from pelagic surveys in the Norwegian Sea were implemented. The purpose of these new features was to reduce the number of parameters to estimate (i, ii), include new data on the older age fraction of the population (iv, v, vi) and account for possible temporal changes in selectivity linked to changes in the national and international fisheries and their regulations (iii).

Recommendations that have been followed since comprise:

  • An increase in the number of age readings from surveys and from the fishery, particularly for recent years.

  • Use of a standardized method (StoX) for the determination of numbers-at-age in the surveys. The use of StoX for survey indices was evaluated at the beginning of AFWG 2020.

Future developments for the assessment of S. mentella may possibly include:

  • Use of a standardized method (ECA) for the determination of numbers-at-age in the catch.

  • A genetic-based method for rapidly identifying Sebastes species (S. norvegicus, S. mentella, S. viviparus).

  • Direct use of length information (as in GADGET);

  • Development of a joint age–length key for calculation of age composition of all S. mentella catches.

  • Development of a joint model for S. mentella and S. norvegicus which can include uncertainty in species identification and reporting of catch of Sebastes sp.

Implementing the current model in a more generic framework (SAM or XSAM) would provide a set of diagnostic tools and the wider expertise shared by the groups developing these models. The new version of GADGET, running the currently used TMB-package in the background, may provide an opportunity to put both species on the same platform.

Further studies of redfish mortality at young age, including a scientific publication, should be carried out. These studies should also take account of historic estimates of bycatch. Variable M by age and possibly time period could then be incorporated in the assessment.

References

Charnov, E.L., Gislason, H., and Pope, J.G. 2013. Evolutionary assembly rules for fish life histories. Fish Fish. 14(2): 213-224.

Hamel, O.S. 2014. A method for calculating a meta-analytical prior for the natural mortality rate using multiple life history correlates. ICES J. Mar. Sci. 72(1): 62-69.

Höffle H. and Tranang C. A. 2020. Use of RstoX for recalculating numbers at age of Sebastes mentella from the joint NOR-RUS Barents Sea Ecosystem Survey in summer and autumn. WD18 - ICES AFWG2020.

Höffle H. and Planque B. (2023). Natural mortality estimations for beaked redfish (Sebastes mentella) - a long-lived ovoviviparous species of the Northeast Arctic. Fisheries Research 260: 106581.

Hoenig, J. M. 1983. Empirical use of longevity data to estimate mortality rates. Fisheries Bulletin U.S. 81:898-903.

ICES 2013. Report of the Arctic Fisheries Working Group, Copenhagen, 18-24 April 2013. ICES C.M. 2013/ACOM:05, 726 pp.

ICES 2016. Final Report of the Working Group on International Deep Pelagic Ecosystem Surveys (WGIDEEPS). ICES CM, ICES CM 2016/SSGIEOM:02: 21pp.

ICES. 2018a. Report of the Benchmark Workshop on Redfish Stocks (WKREDFISH), 29 January-2 February 2018, Copenhagen, Denmark. ICES CM 2018/ACOM:34. 174 pp.

ICES. 2018b. Report of the Workshop on the evaluation of harvest control rules for Sebastes mentella in ICES areas 1 and 2 (WKREBMSE), June–August 2018, by correspondence. ICES CM 2018/ACOM:52. 32 pp.

ICES. 2018c. Stock Annex: Beaked redfish (Sebastes mentella) in subareas 1 and 2 (Northeast Arctic). Stock Annex: Beaked redfish (Sebastes mentella) in subareas 1 and 2 (Northeast Arctic) (figshare.com)

Jakobsen, T., Korsbrekke, K., Mehl, S., and Nakken, O. 1997. Norwegian combined acoustic and bottom trawl surveys for demersal fish in the Barents Sea during winter. ICES CM 1997/Y:17.

Kenchington, T.J. Natural mortality estimators for information‐limited fisheries. Fish and Fisheries, 2014, 15.4: 533-562.

Planque, B. 2015. S. mentella assessment - handling the +group.: WD03 - ICES AFWG2015. 8 pp.

Planque, B. 2016. Possible use of the Pelagic and slope surveys in the analytical assessment of Sebastes mentella in ICES areas 1 and 2.: WD05 - ICES AFWG2016. 6 pp.

Planque, B., Vollen, T., Höffle, H., Harbitz A., 2018. Use of StoX for estimating numbers@age of Sebastes mentella from the international deep pelagic ecosystem survey in the Norwegian Sea.: WD07 - ICES AFWG2018. 38 pp.

Then, A. Y., Hoenig, J. M., Hall, N. G., and Hewitt, D. A. 2018. Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species. ICES Journal of Marine Science, 75: 1509–1509. https://doi.org/10.1093/icesjms/fsx199 (Accessed 18 January 2021).

Tranang C. A., Vollen T. and Höffle H. 2020. Use of StoX for recalculating numbers at age and numbers at length of Sebastes norvegicus from the Barents Sea NOR-RUS demersal fish cruise in winter.: WD17 - ICES AFWG2020. 60 pp.

Tables and figures

Year   Estonia Faroe Islands France Germany Greenland Iceland Ireland Latvia Lithuania Netherlands Norway Poland Portugal Russia Spain UK Total
1998   - 20 73 100 14 - 9 - - - 9733 13 125 3646 177 134 14 044
1999   - 73 26 202 50 - 3 - - - 7884 6 65 2731 29 140 11 209
2000   - 50 12 62 29 48 1 - - - 6020 2 115 3519 87 130 10 075
2001   - 74 16 198 17 3 4 - - - 13 937 5 179 3775 90 120 18 418
2002   15 75 58 99 18 41 4 - - - 2152 8 242 3904 190 188 6 994
2003   - 64 22 32 8 5 5 - - - 1210 7 44 952 47 124 2 520
2004 Sweden - 1 - 588 13 10 4 10 3 - - - 1375 42 235 2879 257 76 5 493
2005   5 1147 46 33 39 4 4 - - 7 1760 - 140 5023 163 95 8 466
2006 Canada - 433 396 3808 215 2483 63 2513 4 341 845 - 4710 2496 1804 11 413 710 1027 33 261
2007   684 2197 234 520 29 1587 17 349 785 - 3209 1081 1483 5660 2181 202 20 218
2008   - 1849 187 16 25 9 9 267 117 13 2220 8 713 7117 463 83 13 096
2009 EU - 889 - 1343 15 42 - 33 - - - 3 2677 338 806 3843 177 80 10 246
2010   - 979 175 21 12 2 - 243 457 - 2065 - 293 6414 1184 79 11 924
2011   - 984 175 835 - 2 - 536 565 - 2471 11 613 5037 1678 55 12 962
2012   - 259 - 517 - 36 - 447 449 - 2114 318 1038 4101 1780 - 11 059
2013   - 697 - 80 21 1 - 280 262 - 1750 84 1078 3677 1459 - 9389
2014   - 743 215 446 15 - - 215 167 3 13 149 103 505 1704 1162 - 18 427
2015   - 657 49 242 48 3 - 537 192 3 19 433 5 678 1142 2529 52 25 570
2016   - 502 134 493 74 24 0 1243 1065 - 18 191 208 1066 8419 3213 122 34 754
2017   4 443 45 763 66 3 - 562 790 - 17 077 102 1060 6593 2838 436 30 782
2018   - 425 67 2473 82 10 - 1020 1010 374 18 594 275 699 10 497 2457 63 38 046
2019     156 370 1599 615 10     653 244 23 844 471 1422 13 444 2222 590 45 640
2020 Denmark - 1   149 163 1807 67 8     1081 1483 32 950 4 889 13 874 744 437 53 657
2021 Denmark - 1   290 218 1166 85 6     1379   43 794 2 381 14 887 615 655 63 479
2022     235 221 1758 39 77     990 586 40 715   464 16 717 278 114 62 194
20231 Denmark - 35   185 133 626 109 10     1   44 496   369 13 976 295 231 60 466
Table 6. 1 . S. mentella in subareas 1 and 2. Nominal catch (t) by countries in Subarea 1, divisions 2.a and 2.b combined.

1 - Provisional figures.

Year Faroe Islands France Germany Greenland Iceland Lithuania Norway Poland Portugal Russia Spain UK Total
1998 20 - - - - - 26 - - 378 - - 424
1999 69 - - - - - 69 - - 489 - - 627
2000 - - - - 48 - 47 - - 406 - - 501
2001 - - - - 3 - 8 - - 296 - - 307
2002 - - - - - - 4 - - 587 - - 591
2003 - - - - - - 6 - - 292 - - 298
2004 - - - - - - 2 - - 355 - - 357
2005 - - - - - - 3 - - 327 - - 330
2006 2 - - - - - 12 - - 460 - 2 476
2007 - - - - 8 - 11 - - 210 - 20 249
2008 - - - - - - 5 - - 155 - 2 162
2009 - - - - 8 - 3 - - 80 - - 91
2010 - - - - - - 20 - - 10 - - 30
2011 - - - - - - 48 - - 13 - - 61
2012 - - - - - - 34 - - 17 - - 51
2013 - - - - - - 64 - - 27 - - 91
2014 - - - - - - 159 - - 63 - - 222
2015 - - - 18 - - 138 1 - 125 - - 282
2016 - - - - - - 225 1 - 229 342 - 797
2017 - - - 12 - - 207 3 - 196 - - 418
2018 - - 19 26 3 - 255 - - 376 - - 679
2019 83 4 - 13 - 1 369 16 1 206 19 4 716
2020 35 12 6 21 - - 335 3 9 118 1 - 540
2021 87 31 - 14 - - 195 - 4 367 1 - 699
2022 91 2 3 20 - - 508 - - 88 1 - 713
20231 84 12 31 17 - - 1 334 - 8 145 69 - 1 700
Table 6. 2 . S. mentella in subareas 1 and 2. Nominal catch (t) by countries in Subarea 1.

1 - Provisional figures.

Year   Faroe Islands France Germany Greenland Iceland Ireland Lithuania Latvia Norway Portugal Poland Russia Spain UK Total
1998   - 73 58 14 - 6 - - 9186 118 - 2626 55 106 12 242
1999   - 16 160 50 - 3 - - 7358 56 - 1340 14 120 9117
2000   50 11 35 29 - - - - 5892 98 - 2167 18 103 8403
2001   63 12 161 17 - 4 - - 13 636 105 - 2716 18 95 16 827
2002   37 54 59 18 41 4 - - 1937 124 - 2615 8 157 5054
2003   58 18 17 8 5 5 - - 1014 17 - 448 8 102 1700
2004 Sweden - 1 555 8 4 4 10 3 - - 987 86 - 2081 7 18 3764
2005   1101 36 17 38 2 4 - - 1083 71 - 3307 20 15 5694
2006 Estonia - 396 Canada - 433 3793 199 2475 52 2513 3 845 - 4010 1731 2467 10 110 589 958 30 574
2007 Estonia - 684 2157 226 519 29 1579 16 785 349 3043 1395 1079 5061 2159 120 19 201
2008 Netherlands - 13 1821 179 9 24 9 9 117 267 1952 666 1 6442 430 62 12 001
2009 EU - 889 1316 7 23 - 25 - - - 2208 764 338 3305 137 62 9074
2010   961 175 13 12 2 - 457 243 1705 246 - 5903 1183 55 10 955
2011   932 175 697 - 2 - 561 536 1682 599 - 4326 1656 19 11 185
2012   259 - 469 - 32 - 449 447 1500 1038 311 3478 1770 - 9753
2013 Netherlands 675 - 24 21 1 - 262 280 871 1055 68 3293 1435 - 7985
2014 2 728 209 411 15 - - 167 215 4089 505 100 1334 1159 - 8934
2015 3 657 49 236 25 3 - 192 537 11 410 678 3 480 2508 47 16 828
2016 - 495 107 493 61 - 24 1065 1243 8887 1052 183 3949 2862 71 20 492
2017 - 425 38 763 44 3 - 790 562 7348 1059 94 3922 2813 429 18 290
2018 374 400 47 2440 51 7 - 1010 876 14 057 699 272 4721 2435 62 27 451
2019 244 73 363 1599 59 10 - 652 - 17 741 1421 455 7 366 2 184 569 32 736
2020 1483 112 146 1797 42 7 - 1 081 - 22 854 880 - 6 085 737 403 35 627
2021 - 151 182 1128 70 6 - 1 379 - 35 798 377 - 6 008 535 552 46 186
2022 586 112 187 1693 16 77 - 990 - 28 666 441 - 7 793 92 11 40 664
20231 Denmark - 1 75 38 518 92 10 - - - 37 391 338 - 2 089 213 137 40 902
Table 6. 3 . S. mentella in subareas 1 and 2. Nominal catch (t) by countries in Division 2.a (including landings from the pelagic trawl fishery in the international waters).

1 - Provisional figures.

Year   Netherlands Faroe Islands France Germany Greenland Ireland Norway Poland Portugal Russia Spain Denmark UK Total
1998   - - - 42 - 3 521 13 7 642 122 - 29 1379
1999   - 4 10 42 - - 457 6 9 902 15 - 20 1465
2000   - - 1 27 - 1 82 2 17 946 69 - 27 1172
2001   - 11 4 37 - - 293 5 74 763 72 Estonia 25 1284
2002   - 38 4 40 - - 210 8 118 702 182 15 31 1348
2003   - 6 4 15 - - 190 7 27 212 39 - 22 522
2004   - 33 5 6 - - 386 42 149 443 250 - 58 1372
2005 Iceland - 2 7 46 10 17 1 - 673 - 69 1389 143 5 80 2442
2006   - 13 16 8 11 1 688 29 73 843 121 - 67 1870
2007   - 40 8 1 - 1 155 2 88 389 22 - 62 768
2008   - 28 8 7 1 - 263 6 47 520 33 - 19 932
2009 Canada - 3 3 27 8 19 - - 466 1 42 458 41 - 17 1085
2010   - 18 - 8 - - 339 - 47 501 1 - 24 938
2011 Lithuania - 4 - 52 - 139 - - 741 11 14 698 23 - 36 1718
2012 Iceland - 4 - - - 48 - - 581 7 - 606 10 - - 1256
2013   - 22 - 56 - - 815 16 23 357 23 - - 1312
2014   1 15 6 34 - - 8901 3 - 307 3 - - 9270
2015   - - - 6 5 - 7885 1 - 536 21 - 5 8459
2016   - 7 27 - 14 - 9078 24 14 4241 9 - 50 13 464
2017   - 18 7 1 10 - 9522 5 1 2476 25 4 7 12 076
2018 Lithuania - 144 - 25 20 14 6 - 4281 3 - 5400 22 - 1 9 916
2019   -   4   543 - 5 734 - - 5 873 19 - 17 12190
2020 Latvia - 2 - 2 5 4 4 - 9 760 - - 7 671 6 - 34 17 486
2021   - 52 6 38 1 - 7 801 2 - 8 512 79 1 103 16 595
2022   - 32 32 62 3 - 11 541 - 23 8 836 185 - 104 20 818
20231   - 26 83 78 - - 5 771 - 24 11 742 12 33 94 17 863
Table 6. 4 . S. mentella in subareas 1 and 2. Nominal catch (t) by countries in Division 2.b.

1 - Provisional figures.

Year   Estonia Faroe Islands France Germany Iceland Latvia Lithuania Norway Poland Portugal Russia Spain UK Total
2002   - - - 9 - - - - - - - - - 9
2003   - - - 40 - - - - - - - - - 40
2004   - 500 - 2 - - - - - - 1510 - - 2012
2005   - 1083 - 20 - - - - - - 3299 - - 4402
2006 CAN - 433 396 3766 192 2475 2510 341 845 2862 2447 1697 9390 575 841 28 770
2007   684 1968 226 497 1579 349 785 1813 1079 1377 3645 2155 - 16 157
2008   - 1797 - - - 267 117 330 - 641 4901 390 - 8443
2009 EU - 889 - 1253 - - - - - - 337 701 1975 135 - 5290
2010   - 912 - - - 243 457 450 - 244 5103 820 - 8229
2011   - 740 175 693 - 536 561 342 - 595 3621 1648 - 8911
2012   - 259 - 469 31 447 449 - 311 1038 2714 1768 - 7486
2013   8 675 - - - 280 262 1 68 1078 2720 1435 - 6527
2014   - 697 - 409 - 215 167 - 100 505 795 1146 - 4034
2015   - 606 - 231 - 537 192 - - 678 - 2508 - 4752
2016   - 393 - 493 - 1243 1065 9 - 821 512 2862 - 7398
2017 Netherlands - 296 - 761 - 562 790 - 14 791 1014 2624 - 6852
2018 374 - 400 - 2192 - 876 1010 - 116 372 - 2399 - 7739
2019 244 - - 298 1157 - - 652 1 364 1096 117 1908 223 6060
2020 1366 Greenland - 3   73 1 380     1 081     480 25 737 324 5469
2021 - -   117 514     1 379     84 498 280   2872
2022 586     78 938     990     88       2680
20231   Denmark - 1                       4 5
Table 6. 5 . S. mentella in subareas 1 and 2. Nominal catch (t) by countries of the pelagic fishery in international waters of the Norwegian Sea (see text for further details).

1 - Provisional figures.

Year Latvia Lithuania Estonia Faroe Islands France Germany4 Greenland Iceland Ireland Netherlands Norway Poland Portugal Russia5 Spain UK (E&W) UK (Scot.) Total
1984 - - - - 2970 7457 - - - - 18 650 - 1806 69689 25 716 - 101 313
1985 - - - - 3326 6566 - - - - 20 456 - 2056 59943 38 167 - 92 552
1986 - DK - 29 2719 4884 - - - - 23 255 - 1591 20694 - 129 14 53 315
1987 - + - 4503 1611 5829 - - - - 18 051 - 1175 7215 25 230 9 34 595
1988 - - - 973 3349 2355 - - - - 24 662 - 500 9139 26 468 2 41 474
1989 - - - 338 1849 4245 - - - - 25 295 - 340 14344 52 271 1 46 688
1990 - 373 - 386 1821 6741 - - - - 34 090 - 830 18918 - 333 - 63 156
1991 - 23 - 639 791 981 - - - - 49 463 - 166 15354 1 336 13 67 767
1992 CAN 9 - 58 1301 530 614 - - - 23 451 - 977 4335 16 479 3 31 773
1993 83 4 - 152 921 685 15 - - - 18 319 - 1040 7573 13 734 1 29 465
1994 - 28 - 26 771 1026 6 4 3 - 21 466 - 985 6220 34 259 13 30 841
1995 - - - 30 748 693 7 1 5 1 16 162 - 936 6985 67 252 13 25 900
1996 - - - 423 746 618 37 - 2 - 21 675 - 522 1641 409 305 121 26 118
1997 - - - 7 1011 538 392 - 11 - 18 839 1 535 4556 308 235 29 26 109
1998 - - - 98 567 231 473 - 28 - 26 273 13 131 5278 228 211 94 33 199
1999 - - - 108 613 430 97 14 10 - 24 634 6 68 4422 36 247 62 30 195
2000 - - - 673 25 222 51 64 1 - 19 052 2 131 4631 87 - 2036 24 536
2001 - - - 1113 46 436 34 3 5 - 23 071 5 186 4738 91 - 2396 28 965
2002 - - 15 1353 89 141 49 44 4 - 10 713 83 276 4736 1932 - 2346 16 637
2003 S - - 1733 30 154 443 9 53 89 8063 7 50 1431 472 - 2586 10 360
2004 1 - - 607 173 78 243 40 3 33 760812 42 240 36012 2602 - 1456 12 699
2005 LV LT 5 1194 56 105 753 122 43 552 784512 - 196 5637 1713 CAN 1476 15 502
2006 341 845 396 3919 223 2518 1073 25443 73 21 11 015 24962 1873 12126 7192 433 10666 40 649
2007 349 785 684 2343 249 587 1133 16552 303 20 89932 10812 1708 6550 21862 - 2576 27 590
2008 267 117 - 21233 250 46 963 363 153 15 74361 8 785 7866 4672 EU7 1686 19 695
2009 - - - 1413 16 100 81 99 - 4 8128 338 836 4541 177 889 1116 16 733
2010 2433 4573 - 1150 226 52 843 243 - - 8059 13 321 6979 1187 - 1236 18 906
2011 536 565 - 10082 228 844 51 24 - 1 7152 59 638 5 956 1 6842 - 686 18 814
2012 447 449 - 346 182 588 58 59 12 5 6 361 352 1 055 4 782 1 7802 DK 1006 16 576
2013 280 262 - 780 353 81 66 9 1 - 5586 103 1 114 4 474 1 459 1 4936 15 062
2014 215 167 - 810 434 452 35 29 - 4 16589 124 510 2 510 1 162 - 2116 23 252
2015 537 192 - 733 102 266 259 38 - 3 22166 22 678 1 806 2 531 1 1096 29 443
2016 1243 1065 - 685 164 497 161 79 - - 22322 234 1 066 9 283 3 213 7 1986 40 217
2017 562 790 4 566 62 782 127 68 - 2 20644 129 1 150 7 890 2 882 - 5966 36 254
2018 1020 1010 - 571 104 2539 159 77 - 374 23 563 311 766 12 331 2 469 1 1006 45 395
2019 - 656 - 392 395 1692 671 93 - 244 29 795 491 1 495 15 373 2 287 - 6156 54 199
2020 - 1081 - 315 164 1895 166 61 - 1483 39 453 13 969 16 489 750 1 4566 63 296
20211 - 1379 - 613 224 1242 177 78 - - 51 497 22 441 16 624 623 3 7516 73 674
2022 - 990 - 546 241 1818 200 297 - 586 48 268 - 537 19 257 282 - 122 73 144
2023 - 1   346 164 744 255 198 - - 52 196 - 459 16 248 325 35 246 71 217
Table 6. 6 . REDFISH in subareas 1 and 2. Nominal catch (t) by countries in Subarea 1, divisions 2.a and 2.b combined for both S. mentella and S. norvegicus.

1 - Provisional figures.

2 - Working Group figure.

3 - As reported to Norwegian authorities or NEAFC.

4 - Includes former GDR prior to 1991.

5 - USSR prior to 1991.

6 - UK(E&W) + UK(Scot.)

7 - EU not split on countries.

Year Belgium Denmark Faroe Islands France Germany Ireland Netherlands Norway Poland Portugal Sweden UK (Scot.) Total
1998 2 27 12 570 370 4 21 1113   - - 749 2868
1999 3 52 1 - 58 39 16 862   - - 532 1563
2000 5 41 - 224 19 28 19 443   - - 618 1397
2001 4 96 - 272 13 19 + 421   - - 538 1363
2002 2 40 2 98 11 7 + 241   - - 524 925
2003 1 71 2 26 2 - - 474   - - 463 1039
2004 + 42 3 26 1 - - 287   - - 214 573
2005 2 34 - 10 1 - - 84   - - 28 159
2006 1 49 1 12 3 - - 163 - 33 - 79 341
2007 + 27 - 8 1 - - 116 1 - - 77 230
2008 + 3 - 8 1 - - 77 - - 1 54 144
2009 + 4 1 38 + - - 119 - - + 86 248
2010 - 5 - 3 - - - 62 - - + 150 220
2011 - 9 - 90 1 - - 66 - - + 71 237
2012 - 10 - 19 + - - 71 - - + 87 187
2013 - 7 - 40 + - - 54 - - - 176 277
2014 - - - 32 1 - - 146 - - + 93 272
2015 + 1 - 14 1 - - 157 - - + 61 234
2016 - 3 - 11 + - - 180 - - + 22 216
2017 - 3 - 10 + - - 168 - - + 38 219
2018 - 10 - 4 - - - 71 - - + 29 114
20191 - 7 + 10 + - + 62 - - + 10 89
2020 - 9 - 4 + - + 54 - - + 28 95
2021 - 4 - 11 + - + 30 - - + 123 168
2022 + 4 3 14 + - + 40 - - + 24 85
2023 + 1 + 5 + - + 57 - - + 51 114
Table 6. 7. REDFISH in Subarea 4 (North Sea). Nominal catch (t) by countries as officially reported to ICES. Not included in the assessment.

1 - Provisional figures.

+ denotes less than 0.5 tonnes.

Year/Age 6 7 8 9 10 11 12 13 14 15 16 17 18 +gp Total No. Tonnes Land.
1992 1 873 2 498 1 898 1 622 1 780 1 531 2 108 2 288 2 258 2 506 2 137 1 512 677 9 258 33 946 15 590
1993 159 159 174 512 2 094 3 139 2 631 2 308 2 987 1 875 1 514 1 053 527 6 022 25 154 12 814
1994 738 730 722 992 2 561 2 734 3 060 1 535 2 253 2 182 3 336 1 284 734 3 257 26 118 12 721
1995 662 941 1 279 719 740 1 230 2 013 4 297 3 300 2 162 1 454 757 794 2 404 22 752 10 284
1996 223 634 1 699 1 554 1 236 1 078 1 146 1 413 1 865 880 621 498 700 2 247 15 794 8 075
1997 125 533 1 287 1 247 1 297 1 244 876 1 416 1 784 1 217 537 1 177 342 3 568 16 650 8 598
1998 37 882 2 904 4 236 3 995 2 741 1 877 1 373 1 277 1 595 1 117 784 786 6 241 29 845 14 044
1999 9 83 441 1 511 2 250 3 262 1 867 1 454 1 447 1 557 1 418 1 317 658 3 919 21 193 11 209
2000 1 24 390 1 235 2 460 2 149 1 816 1 205 1 001 993 932 505 596 5 705 19 012 10 075
2001 117 372 542 976 925 1 712 2 651 2 660 1 911 1 773 1 220 714 814 16 234 32 621 18 418
2002 2 40 252 572 709 532 1 382 1 893 1 617 855 629 163 237 4 082 12 965 6 994
2003 6 37 103 93 132 220 384 391 434 466 513 199 231 1 193 4 402 2 520
2004 7 16 70 96 278 429 611 433 1 063 813 830 841 607 3 076 9 170 5 493
2005 2 20 57 155 244 262 295 754 783 1 896 817 1 087 1 023 6 065 13 460 8 466
2006 0 4 3 38 64 121 423 1 461 1 356 2 835 4 271 3 487 3 969 32 084 50 116 33 261
2007 0 1 3 22 33 86 235 631 2 194 2 825 3 657 4 359 3 540 15 824 33 410 20 218
2008 0 0 1 10 46 100 197 469 612 1 502 1 384 894 1 886 11 906 19 007 13 096
2009 0 1 16 22 42 39 254 258 577 364 823 692 1 856 11 706 16 650 10 246
2010 10 4 6 19 34 55 61 241 267 390 566 655 667 13 879 16 854 11 924
2011 4 4 4 25 55 114 11 103 286 394 408 479 567 15 223 17 677 12 962
2012 4 24 29 24 26 66 69 78 80 279 387 365 409 13 332 15 172 11 059
2013 0 3 19 101 90 44 41 42 9 177 146 185 317 12 826 14 000 9 389
2014 14 27 338 95 114 92 147 54 108 68 248 287 193 23 101 24 886 18 427
2015 43 41 134 565 843 1 355 1 245 717 385 945 289 595 871 29 441 37 469 25 570
2016 40 0 977 667 3 350 2 579 2 983 1 995 1 964 1 269 1 342 1 256 1 108 36 719 56 249 34 754
2017 36 187 403 461 1 042 1 431 1 226 1 370 1 222 1 648 1 462 1 272 1 786 32 989 46 535 30 782
2018 50 319 611 822 1 363 2 481 2 663 2 825 2 816 2 872 2 623 1 804 2 353 41 030 64 632 38 046
2019 129 447 809 1 257 2 122 2 225 2 024 2 238 2 394 3 141 2 814 1 982 2 511 45 497 69 590 45 640
2020 5 14 616 239 2 368 1 948 2 085 3 541 2 861 2 882 3 974 3 454 3 136 53 208 80 331 53 657
2021 79 470 1 007 1 325 2 294 3 165 2 878 3 137 3 417 4 492 4 266 3 007 3 752 62 816 96 105 63 479
2022 0 0 0 263 667 1 600 4 071 6 377 7 329 7 367 8 715 4 173 4 529 51 317 96 408 62 194
2023 0 0 0 0 270 656 1 573 3 967 6 119 7 083 7 140 8 388 3 955 51 956 91 107 60 466
Table 6. 8. S. mentella in subareas 1 and 2. Catch numbers-at-age 6 to 18 and 19+ (in thousands) and total landings (in tonnes). For the periods 2014–2015, 2017-2018, 2020-2021 and 2023, age data are missing from the pelagic fishery. For the years 2017, 2019 and 2021, age data are missing from the demersal fishery fisheries. The numbers-at-age have been estimated following the methods outlined in section 6.2.2.
  Age
YEAR 7 8 9 10 11 12 13 14 15 16 17 18 19+
2006 0 0 0 0 23 93 1 083 323 1 563 3 628 2 514 3 756 29 704
2007 0 0 9 18 25 154 444 1 642 2 302 3 021 3 394 3 156 12 684
2008 0 0 0 0 28 146 115 143 214 594 752 753 13 258
2009 0 0 0 0 9 1 314 294 471 889 999 869 1 150 2 981
2010 0 0 0 0 0 0 155 74 135 224 356 458 12 497
2011 0 0 0 0 0 223 83 83 168 136 166 136 13 182
20121 0 0 0 0 0 0 0 0 227 90 139 206 10 087
20132 0 0 78 27 28 0 0 0 94 28 104 168 9 473
20143 0 0 0 74 24 25 0 0 0 58 16 57 4 920
20153 0 0 0 0 170 54 51 0 0 0 84 22 6 343
20163 0 0 154 307 271 276 134 90 107 239 445 229 10 499
20173 0 0 0 238 462 390 370 165 100 109 226 402 8 349
20183 0 0 0 0 691 1 281 1 008 874 352 195 198 393 12 659
2019 25 5 200 400 220 242 197 279 183 155 135 161 6 696
20203 0 44 8 345 672 353 362 270 345 206 163 136 5 496
20213 0 0 45 8 339 631 309 290 195 228 127 96 2 380
2022 0 0 7 14 12 48 165 135 114 194 155 84 2 931
20233 0 0 0 0 0 0 0 0 0 0 0 0 5
Table 6. 9. Pelagic S. mentella in the Norwegian Sea (outside the EEZ). Catch numbers-at-age in thousands.

1 - No age data in 2012, catch numbers-at-age are estimated from proportions at age in 2011 and in 2013.

2 - No age data from the catches in 2013. Age readings from the research survey conducted in September 2013 are used to derive catch numbers-at-age.

3 - No age data in 2014 – 2018, 2020-2021 and 2023, catch numbers-at-age are estimated from previous year according to protocol described in section 6.2.2.

Year Length group
  18–20 20–22 22–24 24–26 26–28 28–30 30–32 32–34 34–36 36–38 38–40 40–42 42–44 44–46 46–48 48–50 50–52
2011 0 12 0 0 1 8 249 2544 6481 6528 3620 829 95 18 1 0 0
2012 0 0 23 19 26 28 41 287 1898 5030 5385 1911 451 197 43 23 0
2013 0 0 4 32 154 137 90 69 1382 4214 4480 1633 497 197 0 0 0
2014 0 5 0 25 29 235 660 697 3358 7667 8544 3808 787 34 0 0 0
2015-2023 Data not available at the time of the working group
Table 6.10. S. mentella in subareas 1 and 2. Total catch numbers-at-length, in thousands, for 2011–2014.
Length group
Year 18–20 20–22 22–24 24–26 26–28 28–30 30–32 32–34 34–36 36–38 38–40 40–42 42–44 44–46 46–48 48–50 50–52
2011 0 0 0 0 1 8 244 2562 5887 4425 1537 287 13 0 1 0 0
2012 0 0 0 0 0 0 106 2014 5092 3681 952 48 0 0 0 0 0
2013 0 0 0 0 0 0 75 1352 4791 2967 730 87 6 0 0 0 0
2014 0 0 0 0 0 3 14 349 2408 2454 827 80 6 1 0 0 0
2015-2023 Data not available at the time of the working group
Table 6.11. S. mentella in subareas 1 and 2. Catch numbers-at-length, in thousands, in the pelagic fishery for 2011–2014.
Year/Age 6 7 8 9 10 11 12 13 14 15 16 17 18 19+
1992 0.167 0.164 0.211 0.241 0.309 0.324 0.378 0.366 0.428 0.454 0.487 0.529 0.571 0.805
1993 0.141 0.181 0.217 0.254 0.306 0.357 0.349 0.4 0.45 0.436 0.46 0.499 0.462 0.846
1994 0.174 0.188 0.235 0.298 0.361 0.396 0.415 0.48 0.492 0.562 0.642 0.636 0.72 0.846
1995 0.158 0.185 0.226 0.261 0.324 0.36 0.432 0.468 0.496 0.519 0.566 0.573 0.621 0.758
1996 0.175 0.189 0.224 0.272 0.323 0.337 0.377 0.518 0.536 0.603 0.69 0.8 0.683 0.958
1997 0.152 0.191 0.228 0.28 0.324 0.367 0.435 0.492 0.521 0.615 0.601 0.611 0.671 0.911
1998 0.12 0.148 0.192 0.261 0.326 0.373 0.427 0.496 0.537 0.566 0.587 0.625 0.658 0.809
1999 0.133 0.17 0.226 0.286 0.343 0.382 0.441 0.483 0.537 0.565 0.62 0.644 0.672 0.757
2000 0.109 0.144 0.199 0.276 0.332 0.392 0.437 0.49 0.54 0.585 0.631 0.65 0.671 0.872
2001 0.115 0.137 0.183 0.262 0.31 0.356 0.4 0.434 0.484 0.534 0.581 0.615 0.624 0.819
2002 0.114 0.139 0.182 0.253 0.329 0.372 0.392 0.434 0.476 0.52 0.545 0.587 0.601 0.833
2003 0.109 0.124 0.196 0.245 0.312 0.371 0.422 0.434 0.477 0.516 0.551 0.591 0.623 0.817
2004 0.104 0.129 0.18 0.264 0.308 0.376 0.413 0.444 0.478 0.521 0.579 0.614 0.688 0.835
2005 0.104 0.136 0.196 0.263 0.322 0.37 0.408 0.451 0.478 0.523 0.55 0.551 0.64 0.797
2006 0.107 0.143 0.2 0.266 0.314 0.374 0.419 0.462 0.489 0.527 0.57 0.602 0.59 0.796
2007 0.115 0.131 0.18 0.252 0.305 0.364 0.409 0.449 0.485 0.513 0.523 0.554 0.569 0.737
2008 0 0.158 0.177 0.242 0.304 0.402 0.465 0.486 0.511 0.546 0.6 0.596 0.635 0.803
2009 0.129 0.179 0.206 0.249 0.326 0.394 0.51 0.55 0.542 0.583 0.609 0.594 0.595 0.809
2010 0.129 0.128 0.175 0.263 0.375 0.447 0.501 0.541 0.582 0.602 0.593 0.608 0.592 0.706
2011 0.136 0.156 0.183 0.261 0.316 0.435 0.512 0.604 0.655 0.609 0.671 0.647 0.677 0.795
2012 0.135 0.178 0.225 0.246 0.249 0.356 0.474 0.582 0.53 0.626 0.654 0.73 0.699 0.833
2013 0.129 0.145 0.189 0.23 0.27 0.282 0.345 0.384 0.534 0.559 0.634 0.627 0.661 0.72
2014 0.193 0.172 0.221 0.167 0.192 0.239 0.333 0.277 0.364 0.516 0.713 0.78 0.797 0.882
2015 0.167 0.168 0.232 0.294 0.346 0.383 0.457 0.436 0.474 0.538 0.665 0.69 0.724 0.824
20161 0.11 0 0.331 0.356 0.401 0.392 0.434 0.486 0.543 0.579 0.74 0.591 0.598 0.776
2017 0.154 0.196 0.254 0.27 0.306 0.413 0.425 0.458 0.533 0.472 0.562 0.65 0.692 0.796
20181 0 0.233 0.135 0.371 0.323 0.28 0.379 0.452 0.524 0.633 0.483 0.589 0.457 0.821
20191 0.118 0.38 0.341 0.47 0.538 0.523 0.539 0.565 0.572 0.62 0.656 0.601 0.633 0.744
Modelled 0.141 0.188 0.237 0.286 0.334 0.381 0.424 0.465 0.503 0.537 0.569 0.597 0.623 0.755
Table 6.12. S. mentella in subareas 1 and 2. Observed mean weights-at-age (kg) from the Norwegian data (Catches and surveys combined) from 1992-2019. Weights-at-age used in the statistical catch-at-age model are identical for every year and given at the bottom line of the table.

1 - Provisional figures.

Year/ Age 11 12 13 14 15 16 17 18 19+
2006 0.44 0.44 0.52 0.44 0.49 0.55 0.53 0.56 0.61
2007 0.39 0.43 0.41 0.48 0.50 0.52 0.55 0.57 0.64
2008 0.36 0.47 0.56 0.50 0.56 0.54 0.56 0.55 0.64
2009 0.38 0.44 0.45 0.48 0.54 0.59 0.64 0.58 0.69
2010 - - 0.62 0.56 0.54 0.59 0.59 0.56 0.61
2011 - 0.48 0.54 0.54 0.64 0.59 0.54 0.59 0.59
2012 No data - - - - - - - -
20131 0.31 - - - 0.56 0.62 0.60 0.62 0.68
2014-2023 No data - - - - - - - -
Table 6.13. Pelagic S. mentella in the Norwegian Sea (outside the EEZ). Catch weights-at-age (kg) for 2006-2013.

1 - As observed in the research survey in the Norwegian Sea in September 2013.

year/Age 6 7 8 9 10 11 12 13 14 15 16 17 18 19+
1992 0.00 0.01 0.02 0.04 0.07 0.14 0.26 0.42 0.53 0.59 0.65 0.70 0.75 1.00
1993 0.01 0.02 0.04 0.08 0.15 0.28 0.44 0.55 0.61 0.67 0.72 0.77 0.82 1.00
1994 0.02 0.04 0.08 0.15 0.28 0.44 0.59 0.72 0.81 0.88 0.93 0.96 0.98 1.00
1995 0.03 0.07 0.13 0.24 0.39 0.57 0.71 0.83 0.90 0.95 0.97 0.98 0.99 1.00
1996 0.01 0.01 0.02 0.05 0.10 0.19 0.33 0.50 0.59 0.66 0.73 0.79 0.84 1.00
1997 0.02 0.04 0.08 0.16 0.29 0.46 0.55 0.61 0.66 0.71 0.76 0.80 0.84 1.00
1998 0.02 0.04 0.08 0.15 0.26 0.43 0.56 0.65 0.73 0.80 0.85 0.90 0.93 1.00
1999 0.03 0.05 0.10 0.20 0.34 0.51 0.57 0.64 0.70 0.75 0.80 0.84 0.87 1.00
2000 0.03 0.06 0.11 0.21 0.36 0.52 0.63 0.73 0.81 0.87 0.91 0.94 0.96 1.00
2001 0.01 0.02 0.04 0.09 0.17 0.30 0.47 0.56 0.62 0.68 0.74 0.79 0.83 1.00
2002 0.02 0.05 0.10 0.19 0.33 0.50 0.54 0.59 0.63 0.67 0.70 0.74 0.77 1.00
2003 0.03 0.06 0.12 0.21 0.36 0.51 0.57 0.63 0.69 0.73 0.78 0.82 0.85 1.00
2004 0.03 0.06 0.12 0.22 0.37 0.51 0.55 0.59 0.63 0.67 0.70 0.73 0.76 1.00
2005 0.02 0.05 0.09 0.18 0.31 0.49 0.55 0.61 0.66 0.71 0.75 0.79 0.83 1.00
2006 0.01 0.02 0.03 0.07 0.13 0.24 0.39 0.53 0.59 0.64 0.70 0.75 0.79 1.00
2007 0.02 0.04 0.09 0.17 0.30 0.47 0.64 0.77 0.87 0.93 0.96 0.98 0.99 1.00
20081 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1.00
2009 0.02 0.04 0.09 0.17 0.30 0.47 0.60 0.71 0.80 0.87 0.92 0.95 0.97 1.00
2010 0.02 0.04 0.08 0.16 0.28 0.45 0.54 0.60 0.66 0.71 0.76 0.80 0.83 1.00
20111 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1.00
2012 0.02 0.05 0.10 0.19 0.32 0.50 0.59 0.68 0.75 0.81 0.86 0.90 0.93 1.00
2013 0.00 0.01 0.02 0.04 0.08 0.15 0.28 0.45 0.62 0.77 0.87 0.93 0.97 1.00
2014 0.00 0.00 0.01 0.02 0.03 0.06 0.12 0.23 0.38 0.53 0.61 0.68 0.74 1.00
2015 0.01 0.02 0.05 0.09 0.17 0.31 0.48 0.54 0.58 0.63 0.67 0.71 0.74 1.00
2016 0.03 0.06 0.12 0.22 0.38 0.52 0.56 0.61 0.66 0.70 0.74 0.77 0.81 1.00
20171 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1.00
20181 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1.00
20191 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1.00
20201 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1.00
20211 0.02 0.04 0.08 0.15 0.27 0.43 0.55 0.62 0.68 0.74 0.79 0.83 0.87 1.00
20221 0.02 0.05 0.09 0.17 0.30 0.46 0.80 0.96 0.99 1.00 1.00 1.00 1.00 1.00
20231 0.02 0.04 0.08 0.14 0.22 0.30 0.45 0.56 0.63 0.69 0.73 0.76 0.79 1.00
Model input 0.02 0.04 0.08 0.14 0.24 0.37 0.49 0.58 0.66 0.73 0.77 0.81 0.85 1.00
Table 6.14. Proportion of maturity-at-age 6–19+ in S. mentella in subareas 1 and 2 derived from Norwegian commercial and survey data. The proportions were derived from samples with at least 5 individuals. a50 w1 and w2 are the annual coefficients for modelled maturity ogives using a double half sigmoid of the form 0.5 ((1+tanh(age- a50)/w1)) for age < a50 and 0.5 (1+tanh((age- a50)/w2) for age > a50. a50 equals the age at 50% maturity. Since JRN-AFWG 2024 maturity-at-age used in the statistical catch-at-age model are identical for every year and given at the bottom line of the table.

1 - Model parameter estimates were unrealistic and replaced by average parameter values.

Year class 0 1 2 3 4 5 6 7 8 9 10 11
1974 - - 4.8 - 4.9 22.8 4.8 4.8 - - - 3
1975 - 7.4 - 1.7 6.4 2.4 3.5 5 - - 4 -
1976 7 - 8.1 1.2 2.5 6.8 4.9 5 1 13 - -
1977 - 0.2 0.2 0.2 0.9 5.1 3.7 1 19 2 - -
1978 0.8 0.02 0.9 1 5 3.8 2 20 6 - - -
1979 - 1.9 1.4 3.6 2.3 9 11 16 1 - - 0.1
1980 0.3 0.4 2 2.5 16 6 11 25 2 - 1.5 2
1981 - 2.2 3.9 20 6 12 47 18 6.3 1.6 0.5 1
1982 19.8 13.2 13 15 34 44 39 32.6 4.3 3.1 4.9 +
1983 12.5 3 5 6 31 34 32.3 13.3 4 4.2 0.6 1.1
1984 - 10 2 - 5 18.3 19 2.2 2.4 0.2 1.7 2.4
1985 107 7 - 1 5.2 16.2 1.7 1.7 0.6 2.8 3.8 0.3
1986 2 - 1 1.8 8.4 3.6 2.1 1.2 5.6 8.2 0.9 0.7
1987 - 3 37.9 1.3 8 4.1 2 10.6 9.6 1.4 2 1.3
1988 4 58.1 4.3 13.3 25.8 3.9 8.6 11.2 2.8 4.2 3 4.7
1989 8.7 9 17 23.4 4.6 5.4 4 6.6 6.6 4.1 7.7 5.3
1990 2.5 6.3 6.1 1 4.3 1.7 11.5 6.5 5.5 6.7 7.4 3.6
1991 0.3 1 0.5 1.5 1.2 11.3 3.9 3.3 4.6 5.8 2.7 1.9
1992 0.6 + 0.2 0.1 4.3 1.3 2 2.3 4.9 2.3 1 4.1
19931 - + 1.5 1.8 1 1.2 3 4.2 2.6 2 3.2 2.1
1994 0.3 3.5 1.7 1.7 0.9 3.6 5.2 4.3 3.1 3.3 1.8 1.2
1995 2.8 1 1.1 0.4 2.2 2.6 3.5 3.4 2.9 1.2 1 8.5
19962 + 0.1 0.1 0.4 0.7 1.1 1 1.4 1 0.8 3.7 0.6
1997 - - + 0.4 0.5 0.3 0.9 0.6 1 1.1 0.5 0.4
1998 - 0.1 0.2 0.3 0.2 1.1 0.5 0.7 1 0.4 0.4 0.7
1999 0.1 - 0.1 + 0.1 0.3 0.5 0.8 0.5 0.2 0.4 0.6
2000 - 0.6 0.1 0.5 0.3 0.3 0.6 0.4 0.1 0.1 0.7 0.3
2001 - 0.1 0.4 - 0.1 0.2 0.2 0.3 0.2 0.8 0.1 1
20023 0.1 0.5 0.1 - - 0.1 0.5 0.4 1.5 0.5 1 1.1
2003 - - 0.1 - 0.3 1.0 0.5 4.8 2.1 3.7 1.3 1.9
2004 - 0.2 0.3 0.5 1.5 0.9 4.4 3.7 7.5 4.1 3.1 3.3
2005 - - 1.4 1.9 1.4 2.3 3.9 7.2 6.1 6.8 3.1  
20064 0.1 1.8 1.2 1.1 0.8 2.1 4.1 3.0 6.1 5.9    
2007 2.5 0.4 0.1 1.2 1.7 2.4 3.6 4.3 7.4      
2008 0.1 0.1 1.6 1.8 4.1 2.9 5.8 5.5        
2009 1.6 1.9 1.1 4.4 4.8 2.9 4.8          
2010 7.5 0.7 1.2 1.5 1.9 1.6            
2011 0.1 0.3 0.6 1.6 1.6              
2012 0.2 0.7 0.5 0.3                
2013 0.1 0.1 0.4                  
2014 3.6 1.0                    
2015 6.6                      
Table 6.15. S. mentella. Average catch (numbers of specimens) per hour trawling of different ages of S. mentella in the Russian groundfish survey in the Barents Sea and Svalbard areas (1976–1983 published in Annales Biologiques). The survey was not conducted in 2016, took place in 2017 with insufficient coverage and was terminated after that year.

1 - Not complete area coverage of Division 2.b.

2 - Area surveyed restricted to Subarea 1 and Division 2.a only.

3 - Area surveyed restricted to Subarea 1 and Division 2.b only.

4 - Area surveyed restricted to divisions 2.a and 2.b only.

Year Length group (cm)
  5.0–9.9 10.0–14.9 15.0–19.9 20.0–24.9 25.0–29.9 30.0–34.9 35.0–39.9 40.0–44.9 > 45.0 Total
19862 6 101 192 17 10 5 2 4 0 337
19872 20 14 140 19 6 2 1 2 0 204
19882 33 23 82 77 7 3 2 2 0 229
1989 556 225 24 72 17 2 2 8 4 910
1990 184 820 59 65 111 23 15 7 3 1287
1991 1533 1426 563 55 138 38 30 7 1 3791
1992 149 446 268 43 22 15 4 7 4 958
1993 9 320 272 89 16 13 3 1 0 723
1994 4 284 613 242 10 9 2 2 1 1167
1995 33 33 417 349 77 18 5 1 0 933
1996 56 69 139 310 97 8 4 1 1 685
1997 3 44 13 65 57 9 5 0 0 195
1998 0 37 35 28 132 73 45 2 0 352
1999 3 3 124 62 260 169 42 1 0 664
2000 0 10 30 59 126 143 21 1 0 391
2001 1 5 3 32 57 227 50 3 0 378
2002 1 4 6 21 62 266 47 4 0 410
2003 1 5 7 10 49 243 45 1   361
2004 0 2 8 7 14 81 52 2 0 166
2005 22 1 4 4 10 68 46 1 0 156
2006 84 6 5 7 43 198 107 3 0 453
2007 73 39 1 4 9 91 102 3 0 322
2008 122 46 22 3 8 22 70 3   296
2009 9 122 88 14 3 27 219 5   487
2010 96 18 44 37 2 20 91 7   315
2011 126 91 81 48 10 7 67 5 1 436
2012 29 72 66 77 47 8 94 10   403
2013 33 43 127 106 67 19 85 13   493
2014 3 10 59 49 38 24 66 20 0 269
2015 89 8 29 159 116 66 69 25   561
2016 244 33 44 205 138 139 142 48 0 993
2017 41 38 8 20 59 76 57 17 0 316
2018 68 66 59 37 108 68 82 27   515
2019 3 27 89 32 59 83 74 26 1 394
2020 107 8 58 40 40 115 98 17   483
2021 502 136 15 39 16 58 88 18   872
2022 15 102 6 23 27 51 109 24 0 357
2023 5 65 90 20 68 42 87 23 0 400
Table 6.16a. S. mentella1 in Division 2.b. Abundance indices (on length) from the bottom-trawl survey in the Svalbard area (Division 2.b) in summer/fall 1986–2023 (numbers in millions).

1 - Includes some unidentified Sebastes specimens mostly less than 15 cm.

2 - Old trawl equipment (bobbins gear and 80 m sweep length).

3 - Poor survey coverage in 2014.

Year/Age 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total
1992 283 419 484 131 58 45 14 8 5 2 7 2 1 3 1462
1993 2 527 117 202 142 8 23 6 13 1 7 1 1 0 1050
1994 7 280 290 202 235 42 94 1 1 3 4 1 1 0 1161
1995 4 50 365 237 132 61 19 17 11 0 1 3 0 0 900
1996 13 32 10 36 103 135 78 16 50 28 32 8 21 2 565
1997 8 43 6 7 38 18 29 19 6 2 0 2 1 1 181
1998 0 25 27 13 10 12 61 52 41 15 0 5 13 0 276
1999 3 16 108 25 28 39 106 59 54 26 35 14 18 12 543
2000 4 6 5 13 30 21 28 44 66 48 21 19 9 6 321
2001 1 4 2 0 12 15 18 36 28 46 45 80 53 14 354
2002 3 2 4 1 5 22 34 23 90 35 54 65 17 22 377
2003 0 4 3 3 5 3 29 25 25 25 11 164 55 23 376
2004 1 1 4 4 1 4 2 9 4 15 14 17 15 15 108
2005 15 1 1 3 1 2 2 8 4 5 14 7 30 21 115
2006 35 1 3 3 2 6 5 37 3 20 46 69 8 22 258
2007 28 39 0 0 4 1 5 5 7 5 3 7 28 17 150
2008 6 24 19 11 3 2 2 4 3 3 3 3 6 8 96
2009 9 69 50 29 26 25 7 1 1 1 4 20 11 8 260
2010 No age readings available
2011 125 42 61 42 12 49 31 4 1 0 2 0 0 1 369
2012 27 54 32 27 34 43 26 34 18 9 0 1 0 0 305
2013 30 4 29 36 7 93 72 43 40 7 8 3 3 3 377
20142,3 0 3 2 7 21 40 13 27 5 30 13 11 3 2 176
2015 63 1 10 56 36 54 33 95 28 21 12 4 5 3 421
2016 No age readings available
2017 39 26 10 13 14 20 39 16 29 8 6 19 1 28 269
2018 No age readings available
2019 0 32 53 0 24 21 21 46 52 76 0 0 0 0 324
2020-2023 No age readings available
Table 6.16b. S. mentella 1 in Division 2.b. Norwegian bottom-trawl survey indices (on age) in the Svalbard area (Division 2.b) in summer/fall 1992–2023 (numbers in millions).

1 - Includes some unidentified Sebastes specimens mostly less than 15 cm.

2 - Old trawl equipment (bobbins gear and 80 m sweep length).

3 - Poor survey coverage in 2014.

Year/ age 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16+ Total N Total B
1996 146 198 112 742 22 353 53 507 165 531 181 980 108 738 43 328 65 310 40 546 38 254 19 843 29 446 10 931 17 414 1 056 120 171
1997 62 682 130 816 12 492 23 452 74 342 55 880 76 607 82 503 17 640 14 274 675 2238 1723 633 8765 564 723 73
1998 313 78 767 85 715 39 849 25 805 23 413 84 825 100 332 54 287 24 329 11 334 7457 15 250 576 25 212 577 464 105
1999 5359 23 240 117 170 47 851 41 608 76 797 128 677 73 306 58 018 64 781 49 890 13 565 18 458 12 171 24 672 755 562 155
2000 5964 23 169 14 336 19 960 52 666 68 081 83 857 77 513 100 442 72 294 71 148 36 599 17 183 20 590 26 501 690 304 178
2001 5026 6541 10 957 1093 19 766 25 591 36 594 51 644 44 407 61 704 50 083 86 122 53 952 15 699 31 877 501 057 162
2002 9112 6646 7379 3821 8635 28 215 47 456 63 903 103 368 49 964 76 133 71 970 25 241 36 765 34 957 573 565 181
2003 4086 8218 7368 3140 7885 7983 43 821 62 360 52 015 34 782 61 735 168 703 107 298 39 760 26 882 636 036 2572
2004 8554 15793 11 443 7399 3554 7560 6164 11 686 8566 22 973 25 920 23 199 20 392 19 472 50 960 243 635 912
2005 32 526 6856 5546 5616 3772 5980 6985 13 151 5803 5700 16 554 34 393 34 987 34 336 53 165 265 370 1012
2006 125 437 4833 6844 6602 4255 8486 7424 38 309 3983 24 756 48 733 71 491 13 957 37 991 159 909 563 010 1992
2007 411 738 213 851 15 844 5121 11 830 3234 8884 10 298 14 652 7217 4200 7925 53 657 19 308 237 861 1 025 620 1992
2008 58 894 206 727 14 2254 29386 7745 3182 2895 6352 6132 3538 3445 5380 7018 9717 95 279 587 944 842
2009 122 459 176 405 231 265 82701 109 509 45 607 15 812 2775 5807 2950 3929 22 097 12 431 9299 331 974 1 175 019 2602
2010 No age reading
2011 422 533 390 888 227 693 61575 56 025 78 022 47 213 12 153 3176 2049 2607 856 85 2948 103 653 1 411 479 1202
2012 353 610 256 305 351 327 173183 130 446 70 403 58 164 40 645 21 408 12 671 3553 1044 1568 3374 139 887 1 617 588 1842
2013 299 841 203 094 189 851 194068 164 206 178 236 112 427 103 262 92 160 13 848 13 956 8579 2784 2857 144 033 1 723 202 2712
20141 2247 20 884 33 295 82052 52 428 94 324 93 771 68 765 35 193 56 728 40 647 19 047 16 518 3335 163 869 783 104 2392
2015 404 973 86 648 53 046 95737 53 022 109 686 46 714 126 156 73 141 25 441 19 583 6569 5284 3335 119 261 1 228 596 2072
2016 No age reading
2017 534 647 244 469 213 984 215852 33 595 45 809 61 428 62 449 37 597 33 901 39 670 37 492 10 364 40 052 85 250 1 696 557 2132
2018 No age reading
20193 93 518 77 195 125 457 81499 62 447 38 668 61 615 91672 178887 124876 0 0 0 0 60 931 996 765 2112
2020-2023 No age reading
Table 6.17. S. mentella in subareas 1 and 2. Abundance indices (on age) from the Ecosystem survey in August-September 1996–2023 covering the Norwegian Economic Zone (NEZ) and Svalbard incl. the area north and east of Spitsbergen (numbers in thousands and total biomass in thousand tonnes) and the continental slope down to 1000 m.

1 - Poor survey coverage in 2014.

2 – Calculated using modelled weight-at-age.

3 – Provisional figures.

Year Length group (cm)
  5.0–9.9 10.0–14.9 15.0–19.9 20.0–24.9 25.0–29.9 30.0–34.9 35.0–39.9 40.0–44.9 > 45.0 Total
1986 81 152 205 88 169 130 88 24 14 950
1987 72 25 227 56 35 11 5 1 0 433
1988 587 25 133 182 40 50 48 4 0 1068
1989 623 55 28 177 58 9 8 2 0 961
1990 324 305 36 56 80 13 13 2 0 828
1991 395 449 86 39 96 35 24 3 0 1127
1992 139 367 227 35 55 34 8 2 1 867
1993 31 593 320 116 24 25 6 1 0 1117
1994 8 296 479 488 74 74 17 3 0 1440
1995 310 84 571 390 83 58 24 3 0 1522
1996 215 101 198 343 136 42 17 1 0 1054
19972 38 83 19 198 266 82 39 3 0 728
19982 1 87 62 101 202 40 13 2 0 507
1999 2 7 70 37 172 73 22 3 0 386
2000 9 13 40 78 143 97 27 7 2 415
2001 10 23 7 57 79 75 10 1 0 260
2002 17 7 19 36 96 116 24 1 0 317
2003 4 4 10 13 70 198 46 6 0 351
2004 2 3 7 19 33 86 32 2 0 183
2005 0 6 7 11 28 154 86 4 0 296
2006 100 2 10 15 23 104 83 3 1 339
2007 382 121 3 7 12 121 121 7 0 773
2008 858 359 27 5 12 104 165 5 0 1533
2009 95 325 136 5 9 67 163 6 0 806
2010 652 276 215 64 7 74 191 6 0 1485
2011 501 230 212 149 14 47 157 5 0 1315
2012 129 280 86 125 47 14 154 18 0 855
2013 249 227 245 159 143 35 193 27 0 1279
2014 91 174 250 114 125 51 115 14 0 933
2015 175 110 215 302 290 215 171 18 0 1495
2016 615 105 149 332 213 163 124 14 1 1714
2017 568 185 68 197 286 310 231 11 0 1855
2018 189 250 83 109 192 270 214 22 1 1329
2019 42 288 263 92 158 255 211 20 0 1330
2020 196 122 207 92 118 231 209 25 1 1200
2021 887 132 142 124 81 186 172 23 1 1749
20223 616 981 54 112 76 87 152 20 0 2098
20233 47 1091 335 94 149 131 194 31 1 2072
Table 6.18a. S. mentella1. Abundance indices (on length) from the bottom-trawl survey in the Barents Sea in winter 1986–2023 (numbers in millions). The area coverage was extended from 1993 onwards. Numbers from 1994 onwards were recalculated while numbers for 1986–1993 are as in previous reports.

1 - Includes some unidentified Sebastes specimens mostly less than 15 cm.

2 - Adjusted indices to account for not covering the Russian EEZ in Subarea 1.

3- Norwegian numbers only

Year/Age 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Total
1992 351 252 132 56 14 11 3 9 18 16 12 11 2 5 892
1993 38 473 192 242 62 45 19 22 13 11 10 4 2 3 1136
1994 5 96 315 160 342 269 97 55 4 28 13 14 26 5 1430
1995 315 49 148 251 343 238 67 25 7 19 21 9 11 10 1512
1996 189 107 85 111 140 132 128 60 21 24 14 6 9 4 1029
19972 41 65 30 33 92 83 103 100 30 67 29 13 7 3 697
19982 1 72 45 25 11 50 108 112 36 17 7 6 3 2 496
1999 0 1 38 40 29 28 52 62 55 32 16 4 7 1 364
2000 19 1 4 33 37 21 30 69 72 49 22 14 10 4 385
2001 1 17 8 2 7 25 36 30 41 18 22 28 5 3 243
2002 18 4 11 8 2 9 43 56 23 14 34 19 38 14 293
2003 0 3 2 4 6 6 15 36 24 24 43 36 62 33 293
2004 2 1 4 2 4 10 11 16 14 12 14 25 24 13 152
2005 0 4 3 2 6 6 7 14 18 8 18 27 40 57 208
2006 74 26 4 4 6 8 9 12 6 14 16 10 41 28 259
2007 237 75 4 1 2 2 5 8 9 6 8 21 33 72 485
2008 699 166 101 14 0 2 4 6 4 6 4 20 22 30 1079
2009 104 108 100 87 64 32 19 14 4 6 21 1 22 7 589
2010 160 264 176 166 93 72 24 23 3 11 5 8 10 17 1031
2011 348 228 128 127 99 67 42 20 2 6 1 1 2 25 1095
2012 No age readings
2013 0 179 268 136 154 108 126 14 31 8 7 20 41 12 1105
2014-2017 No age readings
2018 171 218 106 34 24 35 50 59 44 58 58 62 92 49 1060
2019 No age readings
2020 14 126 108 114 20 41 95 136 65 78 75 5 0 6 883
2021-2023 No age reading
Table 6.18b. S. mentella 1 in subareas 1 and 2. Preliminary Norwegian bottom-trawl indices (on age) from the annual Barents Sea survey in February 1992–2023 (numbers in millions). The area coverage was extended from 1993 onwards. Numbers recalculated.

1 - Includes some unidentified Sebastes specimens mostly less than 15 cm.

2 - Adjusted indices to account for not covering the Russian EEZ in Subarea 1.

  2008 2009 2013 2016 2019 2022
mean length (cm) All/M/F1 37.0/36.4/37.5 36.6/36.0/37.1 37.5/37.0/38.1 37.7/37.0/38.3 37.6/37.2/38.0 37.4/37.2/38.5
mean length (cm) S/DSL/D2 37.2/36.8/39.1 37.2/36.5/38.3 37.1/37.4/38.9 38.1/37.6/38.4 37.4/37.6/37.7 -
mean weight (g) All/M/F 619/585/648 625/609/666 659/625/706 656/619/694 683/644/724 687/673/743
Mean age (y) All/M/F 25 / 25 / 25 25 / 25 / 24 28 / 29 / 28 27 / 27 / 26 - / - / - 30 / 31 / 31
Sex ratio (M/F) 45% / 55% 45% / 55% 59% / 41% 50% / 50% 51% / 49% 53%/47%
Occurrence 96% 100% 95% 80% 99% 89%
Catch rates 3.80 t/NM2 3.94 t/NM2 3.47 t/NM2 1.01 t/NM2 3.40 t/NM2 -
mean sA 33 m2/NM2 34 m2/NM2 19 m2/NM2 5.2 m2/NM2 - -
Total Area 53 720 NM2 69 520 NM2 69 520 NM2 67 150 NM2 73 364 NM2 -
Abundance (Acoustics)3 395 000 t 532 000 t 297 000 t 136 000 t - -
Abundance (Trawl)4 406 000 t 548 000 t 482 000 t 116 000 t 499 000 t -
Table 6.19. Comparison of results on S. mentella from the Norwegian Sea pelagic surveys in 2008, 2009, 2013, 2016, 2019 and 2022. Acoustic results for the 2022 survey were not available at the time of AFWG 2023.

1 - M = males only, F = females only.

2 - S = shallower than DSL, DSL = deep scattering layer, D = deeper than DSL.

3 - The abundance derived from hydroacoustics is calculated assuming a Length-dependent target strength equation of TS=20log(L)-68.0. In 2016 the TS equation used was TS=20log(L)-69.6 following recommendation from ICES-WKTAR (2010).

4 - Trawls: Gloria 2048 in 2008 and 2009 Gloria 2560 HO helix in 2013 and Gloria 1024 in 2016. Trawl catchability for redfish set to 0.5 for all trawls based on results from Bethke et al. (2010).

sa (demersal) Varies over time              
sa (pelagic) 0.000 0.000 0.000 0.000 0.000 0.014 0.024 0.039 0.063 0.100 0.155 0.234 0.337 0.458 0.584 0.699 0.795 1.000
Table 6.20a. S. mentella in subareas 1 and 2. Population matrix with numbers-at-age (in thousands) for each year and separable fishing mortality coefficients for the demersal and pelagic fleet by year (Fy) and selectivity at age for the pelagic fleet (Sa). Numbers are estimated from the statistical catch-at-age model.
Fy (demersal) Fy (pelagic) Year/ Age 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19+
0.039 0 1992 452 951 437 417 395 291 255 296 157 941 108 216 103 471 113 559 138 644 95 448 106 978 79 055 81 497 68 616 48 663 31 570 20 585 221 015
0.029 0 1993 302 438 430 952 416 173 376 092 241 004 148 808 101 729 97 024 106 196 129 293 88 764 99 225 73 149 75 247 63 239 44 782 29 016 221 092
0.026 0 1994 219 712 287 749 410 021 395 960 357 746 229 170 141 383 96 467 91 649 99 708 120 609 82 415 91 898 67 671 69 580 58 466 41 398 231 201
0.019 0 1995 210 082 209 041 273 774 390 107 376 448 339 824 217 312 133 653 90 779 85 810 92 968 112 158 76 532 85 279 62 777 64 538 54 225 252 815
0.013 0 1996 167 147 199 879 198 888 260 477 370 910 357 652 322 379 205 637 126 031 85 290 80 392 86 945 104 795 71 475 79 627 58 611 60 253 286 642
0.013 0 1997 116 283 159 029 190 171 189 229 247 761 352 646 339 671 305 492 194 236 118 692 80 182 75 518 81 648 98 399 67 110 74 763 55 030 325 701
0.018 0 1998 60 351 110 636 151 305 180 935 180 006 235 602 335 016 321 983 288 612 182 956 111 620 75 356 70 957 76 711 92 447 63 050 70 240 357 696
0.013 0 1999 48 801 57 420 105 262 143 956 172 134 171 197 223 765 316 769 302 448 270 148 171 086 104 356 70 449 66 336 71 715 86 426 58 944 400 066
0.011 0 2000 38 510 46 431 54 631 100 150 136 963 163 762 162 819 212 464 299 309 284 458 253 709 160 631 97 974 66 140 62 278 67 328 81 139 430 933
0.019 0 2001 36 793 36 640 44 176 51 978 95 286 130 310 155 788 154 705 200 830 281 892 267 760 238 804 151 193 92 217 62 254 58 619 63 372 481 986
0.007 0 2002 44 125 35 006 34 860 42 030 49 436 90 574 123 696 147 463 145 810 188 474 263 817 250 256 223 069 141 200 86 115 58 133 54 738 509 249
0.002 0 2003 47 619 41 982 33 305 33 167 39 988 47 031 86 145 117 539 139 829 137 968 178 171 249 328 236 496 210 801 133 434 81 379 54 936 532 967
0.005 0 2004 64 325 45 306 39 943 31 688 31 553 38 038 44 729 81 903 111 704 132 828 131 012 169 147 236 669 224 473 200 077 126 644 77 237 557 977
0.008 0 2005 125 352 61 201 43 106 38 003 30 146 30 014 36 173 42 514 77 783 105 974 125 893 124 091 160 154 224 045 212 482 189 382 119 872 601 242
0.005 0.034 2006 236 264 119 263 58 228 41 012 36 155 28 677 28 545 34 383 40 364 73 724 100 270 118 977 117 203 151 224 211 531 200 605 178 794 680 790
0.004 0.019 2007 336 307 224 789 113 471 55 400 39 020 34 398 27 267 27 127 32 644 38 259 69 701 94 497 111 717 109 596 140 778 196 066 185 247 787 153
0.004 0.012 2008 391 976 319 973 213 872 107 960 52 709 37 124 32 717 25 928 25 782 30 995 36 266 65 925 89 168 105 159 102 901 131 859 183 266 904 716
0.003 0.008 2009 379 212 372 939 304 433 203 484 102 717 50 149 35 314 31 116 24 648 24 482 29 369 34 293 62 244 84 061 98 975 96 697 123 739 1 017 845
0.004 0.009 2010 497 619 360 795 354 826 289 647 193 601 97 727 47 705 33 586 29 578 23 405 23 214 27 817 32 450 58 840 79 380 93 368 91 138 1 073 815
0.004 0.009 2011 626 739 473 450 343 272 337 593 275 577 184 193 92 960 45 369 31 926 28 091 22 199 21 989 26 316 30 663 55 532 74 830 87 929 1 094 667
0.004 0.008 2012 514 642 596 300 450 456 326 600 321 196 262 190 175 216 88 414 43 132 30 322 26 635 21 012 20 783 24 842 28 908 52 290 70 387 1 109 772
0.004 0.006 2013 276 469 489 646 567 339 428 578 310 735 305 589 249 413 166 650 84 064 40 983 28 779 25 242 19 881 19 637 23 442 27 250 49 247 1 109 350
0.015 0.006 2014 285 439 263 042 465 865 539 784 407 761 295 640 290 712 237 247 158 493 79 923 38 942 27 320 23 928 18 817 18 558 22 128 25 698 1 090 704
0.025 0.006 2015 240 181 271 576 250 266 443 239 513 554 387 937 281 226 276 493 225 575 150 614 75 877 36 911 25 833 22 556 17 679 17 385 20 684 1 039 962
0.032 0.010 2016 251 114 228 516 258 386 238 111 421 699 488 574 368 990 267 394 262 672 213 898 142 293 71 283 34 469 24 015 20 912 16 364 16 076 979 217
0.029 0.010 2017 305 166 238 918 217 417 245 837 226 531 401 147 464 571 350 601 253 643 248 301 200 983 132 670 65 999 31 760 22 061 19 171 14 981 908 810
0.038 0.012 2018 329 305 290 345 227 315 206 858 233 877 215 491 381 470 441 578 332 956 240 489 234 764 189 194 124 164 61 383 29 377 20 322 17 612 845 099
0.053 0.006 2019 302 303 313 311 276 244 216 274 196 771 222 435 204 849 362 392 419 010 315 325 227 045 220 616 176 708 115 162 56 546 26 909 18 537 781 239
0.069 0.005 2020 248 568 287 621 298 094 262 827 205 676 187 073 211 349 194 474 343 570 396 407 297 368 213 149 205 884 163 744 105 917 51 645 24 435 717 052
0.082 0.003 2021 242 188 236 495 273 652 283 617 250 051 195 668 177 936 200 971 184 820 326 146 375 468 280 480 199 579 190 665 149 624 95 577 46 175 655 003
0.081 0.001 2022 235 980 230 425 225 009 260 361 269 679 237 674 185 864 168 855 190 420 174 701 307 189 351 824 260 981 184 078 174 110 135 256 85 610 612 963
0.077 0.000 2023 229 939 224 519 219 234 214 081 247 671 256 496 225 988 176 633 160 318 180 489 165 107 288 914 328 431 241 136 168 023 157 018 120 761 612 477
Year/ Age 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1992 0.000 0.000 0.000 0.212 0.261 0.316 0.377 0.442 0.509 0.576 0.640 0.699 0.753 0.799 0.839 0.872 0.899 1.000
1993 0.000 0.000 0.000 0.007 0.019 0.047 0.114 0.248 0.459 0.686 0.849 0.935 0.974 0.990 0.996 0.998 0.999 1.000
1994 0.000 0.000 0.000 0.029 0.063 0.131 0.252 0.432 0.631 0.793 0.896 0.951 0.978 0.990 0.995 0.998 0.999 1.000
1995 0.000 0.000 0.000 0.035 0.075 0.153 0.286 0.470 0.663 0.814 0.906 0.955 0.979 0.991 0.996 0.998 0.999 1.000
1996 0.000 0.000 0.000 0.019 0.053 0.135 0.303 0.549 0.773 0.905 0.964 0.987 0.995 0.998 0.999 1.000 1.000 1.000
1997 0.000 0.000 0.000 0.014 0.042 0.118 0.290 0.555 0.793 0.921 0.973 0.991 0.997 0.999 1.000 1.000 1.000 1.000
1998 0.000 0.000 0.000 0.004 0.022 0.100 0.357 0.735 0.933 0.986 0.997 0.999 1.000 1.000 1.000 1.000 1.000 1.000
1999 0.000 0.000 0.000 0.001 0.005 0.029 0.149 0.507 0.859 0.973 0.995 0.999 1.000 1.000 1.000 1.000 1.000 1.000
2000 0.000 0.000 0.000 0.000 0.001 0.012 0.123 0.609 0.945 0.995 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
2001 0.000 0.000 0.000 0.020 0.050 0.122 0.266 0.487 0.713 0.867 0.945 0.978 0.992 0.997 0.999 1.000 1.000 1.000
2002 0.000 0.000 0.000 0.003 0.012 0.049 0.184 0.495 0.810 0.949 0.988 0.997 0.999 1.000 1.000 1.000 1.000 1.000
2003 0.000 0.000 0.000 0.042 0.084 0.161 0.286 0.455 0.635 0.784 0.883 0.940 0.970 0.986 0.993 0.997 0.998 1.000
2004 0.000 0.000 0.000 0.020 0.044 0.094 0.190 0.348 0.547 0.732 0.861 0.934 0.970 0.986 0.994 0.997 0.999 1.000
2005 0.000 0.000 0.000 0.008 0.020 0.051 0.123 0.267 0.486 0.711 0.865 0.943 0.977 0.991 0.997 0.999 0.999 1.000
2006 0.000 0.000 0.000 0.003 0.008 0.022 0.057 0.140 0.306 0.543 0.763 0.897 0.959 0.985 0.994 0.998 0.999 1.000
2007 0.000 0.000 0.000 0.001 0.003 0.010 0.027 0.076 0.194 0.414 0.674 0.858 0.946 0.981 0.993 0.998 0.999 1.000
2008 0.000 0.000 0.000 0.000 0.001 0.003 0.013 0.060 0.241 0.613 0.887 0.975 0.995 0.999 1.000 1.000 1.000 1.000
2009 0.000 0.000 0.000 0.001 0.004 0.015 0.055 0.180 0.452 0.756 0.921 0.978 0.994 0.998 1.000 1.000 1.000 1.000
2010 0.000 0.000 0.000 0.003 0.007 0.020 0.056 0.146 0.328 0.582 0.800 0.919 0.970 0.989 0.996 0.999 1.000 1.000
2011 0.000 0.000 0.000 0.001 0.002 0.007 0.024 0.082 0.242 0.535 0.805 0.937 0.982 0.995 0.999 1.000 1.000 1.000
2012 0.000 0.000 0.000 0.002 0.005 0.012 0.031 0.076 0.178 0.363 0.599 0.797 0.911 0.964 0.986 0.995 0.998 1.000
2013 0.000 0.000 0.000 0.001 0.003 0.006 0.014 0.032 0.071 0.151 0.294 0.493 0.694 0.841 0.925 0.967 0.985 1.000
2014 0.000 0.000 0.000 0.002 0.004 0.007 0.014 0.027 0.053 0.101 0.183 0.308 0.471 0.639 0.780 0.876 0.934 1.000
2015 0.000 0.000 0.000 0.001 0.003 0.008 0.021 0.052 0.125 0.270 0.489 0.712 0.865 0.943 0.977 0.991 0.997 1.000
2016 0.000 0.000 0.000 0.002 0.005 0.013 0.032 0.077 0.174 0.348 0.575 0.774 0.897 0.956 0.982 0.993 0.997 1.000
2017 0.000 0.000 0.000 0.003 0.005 0.011 0.022 0.044 0.085 0.159 0.278 0.439 0.614 0.764 0.868 0.930 0.964 1.000
2018 0.000 0.000 0.000 0.005 0.008 0.015 0.028 0.050 0.087 0.149 0.242 0.368 0.516 0.661 0.781 0.867 0.922 1.000
2019 0.000 0.000 0.000 0.008 0.012 0.020 0.033 0.053 0.085 0.132 0.201 0.293 0.405 0.529 0.649 0.753 0.834 1.000
2020 0.000 0.000 0.000 0.001 0.001 0.002 0.005 0.009 0.019 0.039 0.077 0.146 0.260 0.419 0.598 0.754 0.863 1.000
2021 0.000 0.000 0.000 0.007 0.010 0.016 0.025 0.040 0.062 0.094 0.141 0.207 0.293 0.396 0.509 0.622 0.723 1.000
2022 0.000 0.000 0.000 0.002 0.004 0.008 0.014 0.025 0.046 0.082 0.141 0.232 0.358 0.507 0.655 0.778 0.886 1.000
2023 0.000 0.000 0.000 0.001 0.001 0.002 0.006 0.012 0.025 0.050 0.099 0.185 0.320 0.494 0.669 0.808 0.897 1.000
Table 6.20b. S. mentella in subareas 1 and 2. Fisheries selectivity at age for the demersal fleet by age (Sa). Numbers are estimated from the statistical catch-at-age model.
Year Rec (age 2) in millions Rec (age 6) in thousands Stock Biomass (tonnes) SSB (tonnes) F (12–18) F (19+)
1992 453 158 611 718 345 186 0.031 0.039
1993 302 241 661 914 366 087 0.028 0.029
1994 220 358 724 331 391 362 0.025 0.026
1995 210 376 793 908 420 379 0.018 0.019
1996 167 371 864 000 456 022 0.013 0.013
1997 116 248 932 292 499 100 0.013 0.013
1998 60 180 995 130 547 493 0.018 0.018
1999 49 172 1 046 556 602 476 0.013 0.013
2000 39 137 1 090 086 661 852 0.011 0.011
2001 37 95 1 126 267 727 718 0.019 0.019
2002 44 49 1 142 259 780 491 0.007 0.007
2003 48 40 1 159 606 834 581 0.002 0.002
2004 64 32 1 173 472 885 324 0.005 0.005
2005 125 30 1 180 159 929 453 0.008 0.008
2006 236 36 1 182 896 968 427 0.022 0.038
2007 336 39 1 162 514 981 962 0.013 0.022
2008 392 53 1 156 443 996 543 0.011 0.017
2009 379 103 1 159 965 1 004 137 0.007 0.011
2010 498 194 1 171 314 997 409 0.008 0.012
2011 627 276 1 190 010 980 139 0.009 0.014
2012 515 321 1 217 415 961 307 0.008 0.012
2013 276 311 1 260 022 944 111 0.006 0.011
2014 285 408 1 319 257 931 923 0.012 0.021
2015 240 514 1 373 404 918 317 0.024 0.03
2016 251 422 1 415 521 911 015 0.033 0.041
2017 305 227 1 450 210 909 387 0.026 0.039
2018 329 234 1 487 606 925 707 0.031 0.049
2019 302 197 1 517 066 949 446 0.033 0.059
2020 249 206 1 540 451 977 404 0.039 0.074
2021 242 250 1 556 719 1 002 649 0.041 0.085
2022 236 270 1 562 771 1 023 195 0.041 0.082
2023 230 248 1 568 485 1 047 002 0.038 0.077
Table 6.21. Stock summary for S. mentella in subareas 1 and 2 as estimated by the statistical catch-at-age model. Stock biomass is for age 2 y+.

 

landings
Figure 6.1. S. mentella in subareas 1 and 2. Total international landings 1952–2023 (thousand tonnes).

 

NEAFC areas catch
Figure 6.2
map
Figure 6.2. S. mentella in subareas 1 and 2. Left panel: Catch in tonnes reported by national fleets for the subareas 27.1 and 27.2 and in the NEACF regulatory area. Right panel: Geographical location of the directed Norwegian fishery in 2023 within the Norwegian Exclusive Economic Zone and bycatches by Norwegian vessels in all areas. Directed fishing with bottom trawl is not permitted to the east of the red line. Directed fishing with pelagic trawl is not permitted to the east of the blue line. Directed fishing is not permitted in the Fishery Protection Zone around Svalbard.

 

 

map
Figure 6.3. Delineation of the geographical limits for directed fishing in the Norwegian Economic Zone in 2014–2023. Directed pelagic trawling is only allowed west of the blue line. Directed demersal trawling is only allowed between the blue and the red line. The area east of the stippled line inside NEZ south of Bear Island is only open for directed demersal trawling after 10 May. The other areas for directed fishing are also open during 1 January to last February. Due to high bycatch ratios of golden redfish 72°N was suggested as southern limit for directed demersal fishing marked by the red line along that latitude to the Norwegian directorate of fisheries in November 2018.

 

 

length distribution
Figure 6.4. S. mentella in subareas 1 and 2. Length-distributions of the commercial demersal catches by Norway and Russia in 2022–2023.

 

age composition
Figure 6.5.

 

age distribution
Figure 6.5. S. mentella in subareas 1 and 2. Upper panels: Catch numbers-at-age for the demersal fleets in 1992-2023 and pelagic fleets 1992–2022. Lower panel: Age composition of the commercial demersal catches by Norway and Russia in 2021 (calculated using ALK).

 

 

weight
Figure 6.6. Weight-at-age of S. mentella per year class in subareas 1 and 2 derived from Norwegian commercial and survey data (Table 6.7). The weights were derived from samples with at least five individuals and are expressed in grammes. The blue and purple lines show the fitted mixed-effect models.

 

weigth at age
Figure 6.7
age-weight
Figure 6.7. S. mentella in subareas 1 and 2. The upper panel shows weight-at-age 19+ as reported from catches (blue) or modelled from catches and survey observations (red) using a mixed effect model (Figure 6.5). AFWG 2017 was the last working group using the annual mixed effect model. The weights-at-age used in the assessment were based on the fixed effects model and are therefore the same for every year. These weights were updated in 2022 and differ only slightly from those estimated in the assessments since 2018. The bottom panel shows comparison of the observed Norwegian and Russian weight by age with the modelled one up to 2020.

 

 

maturity
Figure 6.8. Proportion maturity-at-age of S. mentella in subareas 1 and 2 derived from Norwegian commercial and survey data (Table D7). The proportions were derived from samples with at least five individuals. The blue and purple lines show the fitted mixed-effect models. For 2008, 2011 and 2016–2019 the common model (fixed effects blue) was used for other years the annual models (random effects purple) were used. Available data for 2019 was insufficient at the time of the meeting and the fixed effect model was used and there was no age data available for 2020-2023.

 

 

M
Figure 6.9. Density distribution of natural mortality rates calculated with 30 of the 39 compared methods. The excluded methods are those based on certain taxa or areas. The broken red line indicates the currently used value; the broken green line the most frequent one and the black dotted lines indicate the beginning and end of the distribution’s peak.

 

 

comsumption
Figure 6.10. Abundance of S. mentella (5–14 cm) during the winter survey (February) in the Barents Sea compared with the consumption of redfish (mainly S. mentella) by cod (See Section 1 Table 1.1).

 

 

age distribution
Figure 6.11. S. mentella in subareas 1 and 2. Age disaggregated abundance indices for bottom-trawl surveys 1992–2023 in the Barents Sea in winter (winter survey top) in summer (Ecosystem survey middle) and in autumn (Russian groundfish survey bottom).

 

map
Figure 12.

 

map
Figure 6.12. S. mentella in subareas 1 and 2. Abundance indices for individual trawl stations during the ecosystem survey in autumn 2023 (top) and winter survey 2023 (bottom).

 

map
Figure 6.13.
map
Figure 6.13. S. mentella in subareas 1 and 2. Left panel: Survey track of the Deep Pelagic Ecosystem Survey in 2022 and categorized trawls. Potential failures need further examination to determine their usability, whilst successful trawls can be used for the survey index without further consideration. Right panel: Catch rates in tonnes per square nautical mile for the surveyed depth layers (< = 300 m, 301–600 m and > 600 m) from the 2019 survey. The corresponding results for the 2022 survey are not available.

 

 

proportion by age
Figure 6.14. S. mentella in subareas 1 and 2. Proportions at age during the International Deep Pelagic Ecosystem Survey (WGIDEEPS) in the Norwegian Sea. Bars show proportions at age and dots shows the coefficient of variation for each age. Estimated with RStoX.

 

 

distribution map
Figure 6.15. Map showing the specific pelagic 0-group trawl stations and the abundance of 0-group S. mentella during the joint Norwegian-Russian Ecosystem survey in the Barents Sea and Svalbard in 2023.

 

 

recruit history
Figure 6.16. S. mentella in subareas 1 and 2. Abundance indices (in billions) of 0-group redfish (believed to be mostly S. mentella) in the international 0-group survey in the Barents Sea and Svalbard areas in August-September 1980–2023.

 

 

map
Figure 6.17. S. mentella in subareas 1 and 2. Horizontal distribution of S. mentella hydroacoustic backscattering (sA) during the Norwegian slope survey in spring 2024. The circles are proportional to the sA assigned to redfish along the vessel track.

 

Recruitment-at-age 2 Spawning-stock biomass
history of stock
Fishing mortality – year component
F history
Figure 6.18. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age assessment run showing the estimated recruitment-at-age 2 spawning-stock biomass from 1992 to 2023 and annual fishing mortality coefficients by year (Fy) from the demersal (blue) and pelagic (red) fleets. Error bars (top) and the colored envelope (bottom) indicate 95% confidence limits.

 

Fleet selectivity – age component
selectivity
Figure 6.19
selectivity
Figure 6.19. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age assessment run showing the estimated annual fleet selectivity by age (Fa) from the pelagic (top panel) and demersal (lower panels) fleets. Colored envelopes indicate 95% confidence limits.

 

 

survey selectivity
Figure 6.20. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age assessment run showing the selectivity-at-age for winter (blue) ecosystem (grey) and Russian groundfish (red) surveys.

 

 

stock history
Figure 6.21. S. mentella in subareas 1 and 2. Results from the statistical catch-at-age model showing the evolution of total biomass (in tonnes light blue left axis) spawning-stock-biomass (in tonnes dark blue, left axis) and recruitment-at-age 2 (in numbers yellow, right axis) for the period 1992–2023 for S. mentella in subareas 1 and 2.

 

 

age structure
Figure 6.22. S. mentella in subareas 1 and 2. Modelled distribution of numbers (yellow bars right y-axis) biomass (light blue left y-axis) and spawning-stock-biomass (dark blue left y-axis) at age 2–45+ in 2023.

 

 

residuals
Figure 6.23a. Diagnostic plots for the demersal fleet catch-at-age data. Top-left: scatterplot of observed vs. fitted indices the dotted red line indicates 1:1 relationship. Top right: boxplot of residuals (observed-fitted) for each age. Bottom left: boxplot of residuals for each year. Bottom right: bubble plot of residuals for each age/year combination bubble size is proportional to mean residuals blue are positive and red are negative residuals.

 

 

residuals
Figure 6.23b. Diagnostic plots for the pelagic fleet catch-at-age data. See legend from Figure 6.23a.

 

 

residuals
Figure 6.23c. Diagnostic plots for winter survey data. See legend from Figure 6.23a.

 

 

residuals
Figure 6.23d. Diagnostic plots for Ecosystem survey data. See legend from Figure 6.23a.

 

 

residuals
Figure 6.23e. Diagnostic plots for the Russian groundfish survey data. See legend from Figure 6.23a.

 

historic retro
Figure 6.24

 

retro
Figure 6.24. The upper panel shows the retrospective patterns of the spawning-stock biomass of S. mentella estimated by the SCAA model for runs up to years 2007–2023 and the baseline model of the 2018 benchmark. The lower panel presents the analytical retrospectives for the current assessment and back to 2021. Confidence Intervals are shown for the latest assessment.

 

 

retros
Figure 6.25. The upper panel shows the retrospective patterns of the fishing mortality for the age classes 12-18, estimated by the SCAA model for runs up to years 2018-2023. The lower panel presents fishing mortality for the age-19+ group for the same time period. Broken lines indicate the confidence intervals for the 2024 assessments.

 

3

Chapter 8. Northeast Arctic Greenland halibut

Status of the fisheries

Landings prior to 2024 (Tables 8.1–8.8, Figures 8.1–8.3)

Nominal landings by country for subareas 1 and 2 combined are presented in Table 8.1. Tables 8.2 to 8.4 give the landings for subarea 1 and divisions 2.a and 2.b separately. Landings separated by gear type are presented in Table 8.5. Catch per unit effort is presented in Table 8.6 and total catch from 1935 to now is presented in Table 8.7 and Figure 8.1. Norwegian catches by type (targeted or bycatch fishery) and by gear are presented in Figure 8.2 and 8.3.  

 

The provisional estimate of the total landings for 2023 is 26 931 tonnes. This is 724 tonnes less than the landings in 2022 and 8437 tonnes more than the ICES advised maximum catch for 2023 (18 494 tonnes). Compared to 2022, the catches from most countries remained stable, except for Faroe Islands where there is an increase in catch the last years. Combined landings exceeded the quotas set by the Joint Russian-Norwegian Fisheries Commission for 2023 by 1931 tonnes (total TAC 25000 tonnes). Catches in the report include all landings in ICES 1 and 2, and thus include catches in EU waters in the southern part of ICES 2.  

 

Some fishing for Greenland halibut has taken place in the northern part of Division 4.a during the past 20–30 years, varying between a few tonnes and up to 2577 in 1999. From 2000 total catch has ranged from 64 to 1330 tonnes, primarily taken by Norway, France, and the UK. Preliminary numbers show 705 tonnes in 2023 (Table 8.8, Figures 8.2 and 8.3). Although there is a continuous distribution of this species from the southern part of Division 2a along the continental slope towards the Shetland area, the stock structure is unclear in this area. These landings are therefore not added to the total from subareas 1 and 2 and are not used int he assessment. Recent mark-recapture and genetic investigations indicate that the stock might have a more south and westward distribution than the current ICES definition of the stock boundaries (Albert and Vollen, 2015; Ubeda et al., 2023; Vithakari et al., 2022; Westgaard et al., 2016).

Advice applicable to 2024

JRN-AFWG advice applicable to 2024 was 15 560 tonnes. This corresponds to a harvest rate of 0.134. TAC for 2024 was set to 21 250 tonnes. All catches are assumed to be landed.

Additional considerations

A benchmark and data workshop process led to an agreed ICES analytic assessment in 2023 (category 1). The JRN-AFWG approved the use of this assessment method to generate advice for 2024. To get in sync with the Norwegian slope survey, that is conducted every other year, advice for 2025 and 2026 will be given in this year’s assessment. Next advice will be given in 2026 (for 2027 and 2028) and every other year thereafter.   

The assessment is described in the ICES stock annex, and in the benchmark report (ICES 2023).   

Management

The 38th JRNFC’s (Joint Norwegian-Russian Fisheries Commissions) session in 2009 decided to cancel the ban against targeted Greenland halibut fishery and established the TAC at 15 000 tonnes for the next two years (2010–2011). Since then, the TAC gradually increased to 27000 tonnes in 2021. The TAC for 2022 and 2023 was reduced to 25000 tonnes and the TAC for 2024 was further reduced to 21250 tonnes. The TAC for NEA Greenland halibut set by JNRFC applies to catches in ICES areas 1, 2a and 2b, except the Jan Mayen EEZ and the part of the UK EEZ which is north of 62°N.  

In 2023, 58 tonnes were taken in the Jan Mayen area (within ICES Subarea 2), where Greenland halibut fisheries are not regulated by TAC.  

Norway previously had a quota for Greenland halibut in the EU EEZ which could be fished in ICES areas 2a and 6. Thus this TAC was given partly within and partly outside the stock boundary. This area is now in UK EEZ and there was no agreement for quota to Norway in this area for 2021. In recent years, Norway and UK has agreed on a quota for this area varying between 600-700 tonnes. EU has set a TAC of 2571 tonnes for 2023 in area 6; United Kingdom and Union waters of 4; United Kingdom waters of 2a and United Kingdom and international waters of 5b (GHL/2A-C46)3. For the Greenland halibut stock in area 1 and 2, the EU/UK TAC in the part of area 2a that Is within UK EEZ is of most interest. Further investigations need to be conducted to reveal historical catches in this area.

Further information on regulations is found in the Stock Annex. 

Expected landings in 2024

Catches in 2023 were 26931   t, which exceeded the TAC set by JRNFC and the official advice. The total Greenland halibut landings in the Barents Sea and adjacent waters (ICES Subarea 1 and divisions 2a and 2b) in 2024 may thus be higher than the JRNFC TAC of 25   000   t. The quota for 2024 was 15 % lower than the quota for 2023. Total catch for 2024 will therefore probably be lower than total catch in 2023.   In the period 2018-2023, TAC was exceeded by 1600 to 2655 tonnes, with an average of 1800 tonnes above TAC, catch by 3rd countries. Expected landings for 2024 are therefore set to be the TAC for 2024 + 1800 tonnes, which corresponds to 23050 tonnes.    

Discards are not regarded as a problem.  

Status of research

Survey results (Tables 8.9–8.11, Figures 8.4–8.10)

The Russian bottom-trawl surveys in October-December (ICES acronym: G5348, hereafter Russian survey) are important since they usually cover large parts of the total known distribution area of the Greenland halibut within 100–900 m depth. A working document with a revision of the Russian index was provided to the 2021 ICES AFWG meeting (Russkikh et al. 2021, WD12). Revised and recalculated length distributions were implemented in the 2023 assessment. Abundance indices by length and year are given in Table 8.9. The biomass indices for this survey increased steeply from 2005 to 2011, decreased until 2015 after which the biomass level flattened out (Figure 8.4). Sex distribution is presented in Figure 8.5. This survey has not been conducted since 2019.   

 

Total biomass indices from the Norwegian autumn slope survey (G1165, hereafter EggaN) showed an upward trend in biomass estimates between 1994 and 2003, then a downward trend until 2008 until it increased again in 2009 but levelled out again in 2011, 2013, and 2015 (Figures 8.4 and 8.6). Since then, there has been a general downward trend, and the index is now at its lowest in the time-series. The length distributions from this survey (Figure 8.7, Tables 8.10 and 8.11) show modes that can be followed through the years and indicate new recruitment to the adult stock short time before the survey started, and in 2007. Since then, no such large recruit events are apparent in these length distributions, and since 2009 abundance of fish in adult lengths has been declining as well. Sex distribution is presented in Figure 8.5. This survey has been conducted every year during 1994–2009 and biennially since then.   

The joint winter survey in the Barents Sea (A6996, hereafter Winter survey) has been run from 1986 to the present (jointly with Russia since 2000, except 2006 and 2007). The survey mainly covers depths of 100–500 m and does not cover the deeper slope areas. Spatially, the survey focuses on the central Barents Sea, and west of Svalbard for some years. The northward coverage is limited by sea ice in some years. It is conducted in February and can thus give information on the stock at a different time of the year, as the other surveys are run in autumn. The coverage of this survey has varied throughout the time-series, and the abundance indices are therefore not used in assessment. From this survey, only length distribution in the survey data is used in the assessment model (Figure 8.8).   

 

Norwegian slope survey in spring (G5678, hereafter EggaS) is a trawl acoustic survey conducted in 2009, 2012 and biennially since then, along the continental slope in Norwegian EEZ from 62–74°N (subareas 1 and 2). Compared to the other surveys this is a short time series and abundance indices are not used in the assessment. Considering the evidence for extended west and southward distribution of the stock the survey, if continued, may gradually become of increased importance for this stock in the future. From this survey, only length distribution in the survey data is used in the assessment model (Figure 8.8).   

 

The Joint Ecosystem Survey in autumn (A5216, hereafter Ecosystem survey) covers a large part of the Barents Sea down to 500 m and concerning Greenland halibut, the northern part of the survey covers areas where mainly juveniles and immature fish are found. Three indices for Greenland halibut are based on the Joint Ecosystem Survey in the Barents Sea, one for fish between 10-17 cm, denoted Juv_SI_1, (Figure 8.9), one for fish between 17-27 cm, denoted Juv_SI_2 (Figure 8.9) and one for fish between 28 and 65 cm, denoted EcoS (Figure 8.10). For juveniles there are distinct modes in the length distributions that can be used as proxy for age (Albert et.al 2009). The juvenile indices (Eco_SI_1 and Eco_Si_2), indicates a highly variable recruitment success with several years between good year classes. There is a strong indication of a recruitment event around 2017 that is now entering the survey. The EcoS index shows large fluctuations, with a positive trend the last two years.   

   

Commercial catch-per-unit-effort (Table 8.6)

The CPUE series (Table 8.6) for the stock was subject to the 2015 benchmark and associated data workshops (see reports from WKBUT 2013, DCWKNGHD 2014 and IBPHALI 2015, and working documents by Bakanev (WD14 WKBUT 2013) and Nedreaas (WD 2 DCWKNGHD 2014). An alternative CPUE series for the Russian fisheries for the years 2004–2015 was presented at the 2016 meeting (Mikhaylov, WD14 AFWG 2016). It shows some discrepancies compared to the previous CPUE series used for the Russian fisheries for the same years. In the CPUE series, values before 1992, when the partial moratorium was implemented, are not comparable with values after 1992 due to reduced effort leading to increased catchability. See the Stock Annex for further comments. The CPUE series are not currently used in the assessment.  

Age reading

Based on the scientific understanding that the species is slower growing than the previous age readings suggest, the Norwegian age reading methods were changed in 2006. The new Norwegian age readings are not comparable with older data or the Russian age readings.

The report from Workshop on Age Reading of Greenland Halibut (WKARGH) 14–17 February 2011 (ICES CM 2011/ACOM:41) described and evaluated several age reading methods for Greenland halibut.

The different methods can be classified into two groups: A) Those that produce age–length relationships that broadly compare with the traditional methods described by the joint NAFO-ICES workshop in 1996 (ICES CM 1997/G:1); and B) Several recently developed techniques that show much higher longevity and approximately half the growth rate from 40–50 cm onwards compared to the traditional method.

A second workshop on age reading of Greenland halibut (WKARGH2) was conducted in August 2016 and worked on further validation on new age reading methods. The workshop recommended that two of the new methods can be used to provide age estimations for stock assessments. Further, recognizing some bias and low precision in methods, the WKARGH2 suggested that an aging error matrix or growth curve with error be provided for use in future stock assessments (WKARGH2 report, ICES 2016).

WKARGH2 recommends regular inter-lab calibration exercises to improve precision (i.e. exchange of digital images between readers for each method and between methods). At the annual meeting between Russian and Norwegian scientists in 2024, the party confirmed an interest in establishing cooperation on age reading of Greenland halibut, to work out issues of disagreements on Greenland halibut aging (IMR-PINRO, 2024).

Data used in the assessment

At the 2023 benchmark all input data were scrutinised and revised (Windsland et al. 2023, WD 2 ICES WKBNORTH), with the exception of the Russian slope survey that was revised by Russkikh et al. (ICES 2021, AFWG WD12), and in preparation for the 2023 JRN AFWG.  

In the assessment, the catch data are split into five aggregated fleets by gear and countries. Longline/gillnet fleets include landings from gillnet, longline, and handline. Trawl fleets include landings from bottom trawl, purse-seine (very minor catches, can be bycatch or misreporting) and Danish seine. Catch in tonnes and length distributions per quarter per fleet and sex from 1992–2020 are used in the assessment. Fleets are split between Norwegian catches, Russian catches, and catches from 3 rd countries. Selectivities are allowed to vary by sex to account for sexual dimorphism influencing vulnerability to fishing.  Catches are aggregated into following fleets:  

  • Russian, trawl and minor gears.   

  • Russian, gillnet and longline .

  • Norwegian, trawl and minor gears.   

  • Norwegian, gillnet and longline.   

  • 3 rd countries.  

No survey covers the whole stock distribution area. The model uses length distributions and biomass indices from three surveys. From these surveys the following indices go into the current assessment:  

  • EggaN_SI– based on the Norwegian slope survey in autumn for >27 cm fish.    

  • Juv_SI_1 and Juv_SI_2 - juvenile indices based on 10-17 cm and 18-27 cm fish in the Joint Ecosystem survey.  

  • EcoS_SI - an index for 28-65 cm fish, based on data from the Joint Ecosystem survey.   

  • RussianS_SI - Russian bottom-trawl survey in the Barents Sea in autumn, for >27 cm fish.   

 

In addition, length distributions from the Norwegian Slope Survey South and the Joint Winter Survey (from survey data, not abundance indices) are used in the assessment.  

Age data from the Norwegian slope survey was used in the tuning. The age data was provided using the frozen whole right otolith method recommended by WKARGH2 (ICES 2017).   

No CPUE indices are used in the tuning.   

Methods used in the assessment (Table 8.12)

A new assessment method with a length and age-based GADGET model was benchmarked in 2023. The assessment is further described in the Stock Annex.   

At the meeting the revision of the Russian Slope Survey was implemented in the assessment. This required recalculation of reference points that are given in table 8.12.   

Advice for the stock is normally given biennially. Last advice was given in 2023 for 2024 only, in order synchronise with the Norwegian slope survey in autumn, that is conducted every other year. This year’s assessment provides advice for 2025 and 2026.   

Model settings

Model used: Gadget3 (Lentin et al. 2022)  

  • Start year 1980.  

  • One year time-step.  

  • Single area model, with spatial variation in demography handled through fleet selectivity (“fleets as areas” approach).  

  • Two sexes, split into mature and immature stock components.  

  • Logistic maturity estimated for each sex.  

  • 1 cm length classes and 1-year age classes  

  • Lengths: females; immature 1-100 cm, mature 1-120 cm - males; immature 1-65 cm, mature 1-90 cm   

  • Age: immature 1-25+, mature 3-25+  

  • Von Bertanlanffy growth estimated separately for males and females, with estimated L inf for females and L inf for males fixed at 68 cm. Length at age one fixed.  

  • Natural mortality set to 0.12 for females and 0.16 for males.  

  • Initial size of recruits fixed at 14 cm (model has proved unable to estimate this).  

  • Recruitment modelled as annual numbers, no relationship with SSB (estimated directly), assumed equal recruitment between males and females.  

  • Initial population follows a simplifying assumption of constant recruitment, M and F, giving an exponential decay by age. A fixed maturity ogive is used to split immature and mature proportions. Standard deviations of lengths at age is externally fixed.  

  • Fisheries and surveys are modelled with fixed catch in tonnes per fleet, and sex-specific selectivity estimated using length distribution data and sex-at-length data.   

  • Five aggregated commercial fleets (as described above), each with sex-specific logistic selectivity.   

  • Three surveys used for indices (EcoS, EggaN and RussianS), with logistic selectivity (but with a min:max length range to avoid bias in indices on fish suspected to be poorly selected).  

  • Only length distributions used from the Winter and EggaS surveys.  

 

More detailed model description, as well as outputs and diagnostics are shown in ICES stock annex and in Vihtakari et al. 2023 (WD 17, WKBNORTH).   

Results of the assessment (Figure 8.11-8.15, Tables 8.13-8.14)

Model results, retrospective pattern, jitter, and short-term projections are shown in Figures 8.11-8.14. Reference point and catch scenarios are shown in tables 8.12-8.14. The stock biomass is presented for the total > 45 cm (minimum legal landing size) population and the spawning stock (Figure 8.11). Biomass peaks around 2013–2014 and shows a clear downward trend since then. This trend is broadly in line with all tuning series (Figures 8.4, 8.6, 8.9 and 8.10). SSB was above B pa in 2023 but has now fallen below. The harvest rate has been steadily increasing since 2009 and is now above HR pa and HR MSY .   

 

The retrospective analysis for model biomass has negative Mohn’s rho values (Figure 8.12). The retrospective patterns by year got lumped following the availability of survey data, with the Norwegian slope survey run every other year and missing years in the Russian autumn survey. As a result of this pattern, it is recommended that the assessment be run every other year rather than annually. There is a retrospective trend to increase the stock estimate over time. Peaks in recruitment were most likely exaggerated in the assessment model used before the benchmark, while in the present model they are probably underestimated. Large uncertainties in the age reading probably smooths out the peaks, distributing the recruitment over multiple years. The recruitment peak in the latest years is based on little data and is unreliable. Even though the assessment most likely smooths out the recruitment, the modelled peaks show reasonably good agreement to the data from the juvenile survey indices. This stock is dominated by sporadic recruitment events, and the model does a reasonable job of capturing this.  

Biological reference point

Estimates of trends and biomass levels in stock dynamics are stable in the revised assessment. Therefore, the suggested reference points are for ICES category 1 stock (ICES, 2021).  

The HR TARGET is set to HR MSY which equals 0.139. As recommended at the recent Benchmark (ICES 2023), this value was calculated during the 2023 meeting following the revision of the Russian survey index (Russkikh et al. WD12, AFWG 2021). The fishable biomass is taken to be the 45+ cm biomass. The B TRIGGER in the ICES Advice Rule is set to be B pa , which equals 46747 t. B MSY has not been calculated.   

Exploratory assessments; surplus production models and TSVPA

Results of the assessment of the Barents Sea Greenland halibut stock based on a Bayesian surplus production model was provided by Bakanev in 2013, (WKBUT WD 14). Different sets of abundance indices were used for tuning the model. The analysis of model run results has shown that K is estimated within the range of 810 to 1139 kt, BMSY of 405 to 570 kt and MSY of 23 to 47 kt. However, the model was sensitive to the choice of prior on K. Taking into consideration a high probability of the stock size being at the level, which was quite a bit above BMSY, the risk of the biomass being below this optimal one was very small in 2002–2012 (<1%). The risk analysis of the stock size in the prediction years (2013–2020) under the catch of 0 to 30 kt indicated that the probability of the stock size being under the threshold levels (BMSY, BLIM) was also minor (less than 1%). It was concluded that further work was needed on the historical CPUE series. Based on scrutiny of the CPUE series it was recommended to examine runs with the surplus production model for the period 1964-1991 and 1964-2005, in addition to runs for the whole 1964–2013 period. Fisheries CPUE series were considered less reliable to reflect stock dynamics than survey indices in the period after regulations of the fishery were introduced in 1992. The Bayesian surplus model was not updated for presentation at the current meeting.

A production model was presented at the 2016 meeting (Mikhaylov, 2016, WD 14), although this model has not been reviewed at a benchmark, nor were biomass trends presented at this meeting. The model has been proposed as a possible method for the estimation of long-term reference points. An update was presented at the 2019 meeting (Mikhaylov 2019, AFWG 2019 WD21). In the current version, the MSY would be around 34 kt, the BMSY around 500 kt and FMSY on the level 0.069. It should be noted that these values are not directly transferable to a different model with different biomass levels and in any case a long-term average. The WD concluded that, in general, the stock can withstand the fishing pressure in 2016 and the fishing regime was approaching optimum, indicating that the results of the exploratory surplus production model were in general alignment with the assessment.

FMSY is not appropriate to this stock given the recent extended run of poor recruitment, and such values have not been evaluated for precautionarity. In a plenary, it was concluded that it would be useful for further development of the production model to conduct separate exploratory runs for CPUE split into before and after 1992 and run with CPUE only before 1992 and survey data after 1992. This production model was not updated for presentation at the current meeting.

At the 2018 meeting, AFWG results from SPiCT production model were presented (AFWG report 2018). In the run that is presented in this report, all available data up to 2016 were used. For run with default, priors applied K = 995 421 t and deterministic reference points were BMSY = 419 955 t, F = 0.07 and MSY = 29 742 t. Stochastic reference points for this run were in a similar range. Run with default priors deactivated gives similar MSY estimates but otherwise, rather different estimates; K = 2 504 006 t, BMSY = 609 410 t, F = 0.05 and MSY = 28 097 t. Further utilization of this approach demands closer scrutiny of model settings in relation to diagnostics. The SPiCT model can be a flexible tool to examine the production model approach to Greenland halibut, however, concerns highlighted below still apply.

In principle, a production model could be used in conjunction with the GADGET assessment model to extend the simulations back in time and provide better estimates for BLIM. However, the inability of production models to follow variable recruitment, and especially runs of above or below average recruitment, limits their ability to advise on this stock. In the benchmark report (IBPHALI 2015) Table 3.3 gives CPUE series and survey estimates that can be helpful for this task.

A working document (Bulatov et al. 2023, WD1 JNR-AFWG 2023) presents a comparison of two types of models: several different formulations of production models for Greenland halibut and age-structured TSVPA mode alongside a production model (the “combi” model) tuned to an index constructed from the TSVPA results. Tuning data for production model included catch in tonnes, Norwegian CPUE, Russian Survey and Winter survey indices. The biomass models showed FMSY (in a biomass model context) of around 0.05 to 0.07 and Bmsy of 437-620 kt, giving long term MSY yields of between 32.3kt and 37.47kt. A TSVPA model was constructed, and the overall trend (with FMSY at age 9 at 0.14, and MSY yield of between 28.2kt and 31.5kt) was presented. A biomass model tuned to TSVPA as a relative index of abundance gave a FMSY (again in production model context) of 0.15 and long term MSY yield of 28.4kt. The use of TISVPA results allowed us to build a recruitment model (Beverton-Holt and “hockey stick” models) that predicts an approximately constant replenishment level (25 million at age 5), which justifies the assumptions accepted in new version of GADGET. However, given difficulties in the tuning indices noted below, the group does not feel that reliance can be placed on the absolute level of these results.

The group notes that there are two key problems in tuning data used in this WD, one is that the CPUE has an artificial step-change (increase) after the reduction in effort due to the partial moratorium in 1992 and will thus likely drive the hypothetical artificial fast rise in population from that point. The other is that the winter survey has had a trend to expand coverage area over time, and therefore the increasing trend in the swept area index is, at least partially, driven by this rather than any stock trends. Therefore, neither the full time series of CPUE nor the simple winter survey estimate should be used for model tuning. Furthermore, the new age reading methods imply considerably slower growth rate and increased longevity, compared to the traditional method used for age data in the TSVPA model (ICES WKARGH 2011, ICES WKARGH2 2016), and the old age readings should not be used in model tuning. It is also questionable if a biomass model is able to track the trends of this stock (where the population seems to be driven by variability in recruitment success).

In terms of trends, the TSVPA and the “Combi” biomass model tuned to a TSVPA-derived index were broadly similar to each other and to the new Gadget model. Key differences were that the TSVPA rose more steeply than Gadget after the 1992 low point, and the Combi model more steeply again. It seems likely that this could be explained by the use of CPUE tuning data (with its artificial rise post 1992) in the Combi and TSVPA models. The other key point of difference is that the Gadget model shows a downturn starting in c. 2012, while the other models only turn down in 2021. One possible reason for this is that the Gadget model uses Ecosystem and Norwegian slope survey indices alongside the Russian index, while the models presented here use the Winter Survey (which has an artificial increasing trend due to increasing coverage).

The group felt that the TSVPA model was worth continuing developing, with a potential use as an auxiliary model (as for NEA cod and haddock), although its accuracy would continue to be hampered by the limited age reading on this species with new age reading methods. Using different tuning series and the more modern age reading method should result in a TSVPA model which could be used as an auxiliary model and could then be compared with the Gadget assessment. Effort should also be placed into continuing the age reading work, as an improved age data series would benefit both Gadget and age-based models such as TSVPA.

Comments to the assessment

An overview of model exploration before, and at, the benchmark is given in the benchmark report (ICES 2023) and in a working document to the benchmark (Vihtakari et al. WD 17, ICES 2023). At the JRN-AFWG in 2023 the assessment was updated by adding the revised Russian survey index.   Between the end of the physical benchmark meeting and completion of the final model the following adjustments were made: Recalculation of data weighting, and flat top selectivity applied to all fleets. In addition, the Russian survey was revised as noted previously. 

Within the fisheries in the Barents Sea and the associated continental slope, fish tend to move to the slope as they mature. This means that fisheries on the shelf tend to catch fewer of the large mature fish. The Barents Sea Greenland halibut Gadget model was designed to be a “fleets as areas model”, where fleet selectivity would take care of the issue of the larger fish moving out of the areas covered by some fleets and surveys. However, the dome shaped selectivity required for this was problematic. Dome-shaped selectivity increased the estimated biomass for mature females early on during the time-series but did not influence female SSB estimates toward the end of the time-series. This led to unrealistically pessimistic ratio between current stock status and recalculated B lim reducing the TAC estimate for 2025 to 7200 tonnes, which was deemed too low in the current situation by the experience and other model exploration using compiled survey indices. The model was therefor again run with logistic (flat-topped) selectivities, as in the 2023 assessment.

Prior to the 2024 assessment meeting it was experimented with changing the likelihood components weights as suggested in last year’s report. This did, however, not improve model stability any further.

The Greenland halibut population extends past the Joint Norwegian Russian Fisheries Commission (JNRFC) domain and surveys considered in the assessment do not cover the entire distribution (Albert & Vollen 2015, Westgaard et al. 2017, Vihtakari et al. 2022, Ubeda et al. 2023).  

In this year’s assessment, the international catches were recalculated using the ICES official catch statistic, to ensure transparency and reproducibility. The catches may therefore vary slightly to previous reports, but these differences are likely too small to affect model results.

After the 2023 Benchmark, the procedures for data handling and calculations were improved, which led to minor changes in the length distributions compared to previous reports.

According to the jitter analysis, the model trends can be considered stable (Figure 8.13).

 

Future work

Effort to improve stock assessment in the future should include:

  • Gather age data over more years.

  • Examine further Norwegian and joint Norwegian/Russian survey indices using VAST (mixed models) or similar statistical analysis. Preliminary work on the topic was presented to the meeting.

  • Develop a harvest control rule.

  • Examine how to implement new evidence for south and westward extension of stock structure. Extensive work studying this extension as presented at the meeting.

References

Albert, O.T., Kvalsund, M., Vollen, T. and Salberg, A.B., 2009. Towards Accurate Age Determination of Greenland Halibut. Journal of Northwest Atlantic Fishery Science, 40, 81-95.

Albert, O.T. and Vollen, T., 2015. A major nursery area around the Svalbard archipelago provides recruits for the stocks in both Greenland halibut management areas in the Northeast Atlantic. ICES Journal of Marine Science: Journal du Conseil, 72(3): 872-879.

Bakanev, S 2013. Assessment of the Barents Sea Greenland halibut stock using the stochastic version of the production model. WD14, Report of the Benchmark Workshop on Greenland Halibut Stocks (WKBUT), 26–29 November 2013, Copenhagen, Denmark. ICES CM 2013/ ACOM:44 367 pp.

Bulatov, O.A., Russkikh, A. A., Mikhaylov, A.I., Vasilyev, D. A, 2023. The estimation of reference points of Greenland halibut stock in the Barents Sea based on production and cohort models. WD, JNR-AFWG 2023

ICES. 2011. Report of the Workshop on Age Reading of Greenland Halibut (WKARGH), 14-17 February 2011, Vigo, Spain. ICES CM 2011/ACOM:41. 39 pp.

ICES 2013. Report of the Benchmark Workshop on Greenland Halibut Stocks (WKBUT), 26-29 November 2013, Copenhagen, Denmark. ICES CM 2013/ACOM:44

ICES 2014. Report of the Data Compilation Workshop on Northeast Arctic Greenland Halibut and Assessment Methods (DCWKNGHD), 10–12 November 2014, Murmansk, Russia. ICES CM 2014/ACOM:65.58pp.

ICES 2015. Report of the Inter Benchmark Process on Greenland Halibut in ICES areas I and II (IBPHALI). By Correspondence, August 2015. ICES CM 2015/ACOM:54, 41 pp

ICES 2016. Report of the Workshop on age reading of Greenland halibut 2 (WKARGH2), 22-26 August, Reykjavik, Iceland. ICES CM 2016/SSGIEOM:16. 36 pp.

ICES. 2021. Advice on fishing opportunities. In Report of the ICES Advisory Committee. 2021.

ICES Advice 2021. section 1.1.1. https://doi.org/10.17895/ices.advice.7720.

ICES. 2023. Benchmark workshop on Greenland halibut and redfish stocks (WKBNORTH). ICES Scientific Reports. 5:33. 408 pp. https://doi.org/10.17895/ices.pub.22304638

IMR-PINRO, 2024. Protocol of the annual meeting between Russian and Norwegian scientists, 12-14 March 2024. Teams

Lentin J., Elvarsson B.Þ., and Butler W. 2022. gadget3: Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3. https://gadget-framework.github.io/gadget3/, https://github.com/gadget-framework/gadget3/.

Mikhaylov, A. 2016. Long-term HCR-parameters estimation for Greenland halibut based on production model. Working paper, no 14. in: Report of the Arctic Fisheries Working Group (AFWG), Dates 19-25 April 2016, ICES HQ, Copenhagen, Denmark. ICES CM 2016/ACOM:06. 621 pp.

Nedreaas, K. 2014. Review of historic commercial catch-per-unit-of-effort (cpue) series previously used in stock evaluation of Greenland halibut ( Reinhardtius hippoglossoides ) in ICES Subareas I and II. Are such cpue series appropriate to use in future Greenland halibut stock assessments? Working document, no 2. in: Report of the Data Compilation Workshop on Northeast Arctic Greenland Halibut and Assessment Methods (DCWKNGHD), 10–12 November 2014, Murmansk, Russia. ICES CM 2014/ACOM:65. 56 pp.

Russkikh A.A., Kovalev Yu A., Tchetyrkin A.A. Revision of Russian survey indices used for Greenland halibut stock assessment. WD12, AFWG 2021

Úbeda, J., Nogueira, A., Tolimieri, N., Vihtakari, M., Elvarsson, B., Treble, M., and Boje, J. 2023. Using multivariate autoregressive state‐space models to examine stock structure of Greenland halibut in the North Atlantic. Fisheries Management and Ecology: doi/10.1111/fme.12639.  

Vihtakari, M., Elvarsson, B. Þ., Treble, M., Nogueira, A., Hedges, K., Hussey, N. E., Wheeland, L., et al. 2022. Migration patterns of Greenland halibut in the North Atlantic revealed by a compiled mark–recapture dataset. ICES Journal of Marine Science, 79: 1902–1917.   

Vihtakari, M., Butler, W., Howell, D., Hallfredsson, E.H., Windsland, K.,Elvarsson, B., 2023. Assessment model for the Northeast Atlantic Greenland halibut stock (ghl.27.1-2). WD 17, ICES WKBNORTH.

Westgaard, J.-I., Saha, A., Kent, M.P., Hansen, H.H., Knutsen, H., Hauser, L., Cadrin, S.X., Albert, O.T. and Johansen, T., 2016. Genetic population structure in Greenland halibut ( Reinhardtius hippoglossoides ) and its relevance to fishery management. Canadian Journal of Fisheries and Aquatic Sciences, 74:475-485.

Windsland, K., Vihtakari, M., Hallfredsson, E. H., Howell, D. 2023. Data revision for the Northeast Atlantic Greenland halibut stock (ghl.27.1-2). WD2, ICES WKBNORTH 2023

Tables and figures

Year Denmark Estonia Faroe Islands Germany France Greenland Iceland Ireland Latvia Lithuania Norway Poland Portugal Russia Spain United Kingdom Total
1984 0 0 0 2165 138 0 0 0 0 0 3540 0 0 15181 0 23 21047
1985 0 0 0 4000 239 0 0 0 0 0 5287 0 0 10237 0 5 19768
1986 0 0 42 2718 13 0 0 0 0 0 7783 0 0 12200 0 12 22768
1987 0 0 0 2024 13 0 0 0 0 0 6893 0 0 9733 0 81 18744
1988 0 0 186 744 67 0 0 0 0 0 8811 0 0 9430 0 84 19322
1989 0 0 67 600 31 0 0 0 0 0 8837 0 0 8812 0 6 18353
1990 0 0 163 954 49 0 0 0 0 0 16615 0 0 4764 0 10 22555
1991 11 2564 314 101 119 0 0 0 0 0 27585 0 0 2490 132 2 33318
1992 0 0 16 13 111 13 0 0 0 0 7668 0 31 718 23 10 8603
1993 2 0 61 22 80 8 56 0 0 30 10379 0 43 1235 0 16 11932
1994 4 0 18 296 55 3 15 5 0 4 8428 0 36 283 1 78 9226
1995 0 0 12 35 174 12 25 2 0 0 9368 0 84 794 1106 122 11734
1996 0 0 2 81 219 123 70 0 0 0 11623 0 79 1576 200 374 14347
1997 0 0 27 56 253 0 62 2 0 0 7661 12 50 1038 157 92 9410
1998 0 0 57 34 67 0 23 2 0 0 8435 31 99 2659 259 227 11893
1999 0 0 94 34 0 38 7 2 0 0 15004 8 49 3823 319 139 19517
2000 0 0 0 15 45 0 16 1 0 0 9083 3 37 4568 375 154 14297
2001 0 0 0 58 122 0 18 1 0 0 10896 2 35 4694 418 130 16374
2002 0 219 0 42 7 22 4 6 0 0 7143 5 14 5584 178 69 13293
2003 0 0 459 18 2 14 0 1 0 0 8215 5 19 4384 230 99 13446
2004 0 0 0 9 0 0 10 0 0 0 13939 1 50 4662 186 43 18900
2005 0 170 0 8 32 0 0 0 0 0 13011 0 23 4883 660 47 18834
2006 0 0 204 8 46 0 8 0 0 196 11118 201 26 6055 2 12 17876
2007 0 0 203 8 40 198 15 0 0 0 8230 200 50 6484 11 19 15458
2008 0 0 663 5 41 0 28 0 0 0 7393 201 46 5294 112 26 13809
2009 0 0 422 19 16 16 15 2 0 0 8446 204 237 3335 202 68 12982
2010 0 0 272 14 102 15 16 0 0 0 7700 3 11 6888 188 26 15235
2011 0 0 538 80 46 4 7 0 0 234 8348 169 21 7053 144 40 16684
2012 0 0 563 40 40 12 13 0 0 0 9331 22 1 10041 186 35 20284
2013 0 0 783 49 168 22 106 1 0 0 10404 30 7 10306 12 92 21980
2014 0 0 887 33 269 24 86 0 0 0 10997 19 0 10061 23 212 22611
2015 0 0 724 33 230 16 98 0 0 0 10874 13 1 12953 25 114 25081
2016 2 353 1078 9 229 18 75 0 0 0 12932 26 19 10561 27 56 25385
2017 0 523 993 21 177 26 10 0 3 72 13741 26 13 10713 36 83 26437
2018 2 574 401 50 150 20 24 0 0 206 14875 27 6 12071 60 134 28600
2019 0 588 350 44 105 23 10 0 0 348 14867 122 8 12196 87 75 28823
2020 1 579 514 73 39 48 19 0 0 261 14526 97 9 12265 96 45 28572
2021 1 382 749 88 137 14 0 0 0 125 14008 14 0 12396 125 177 28216
2022* 0 253 1055 94 85 47 27 0 75 136 13800 0 60 11746 163 114 27655
2023* 1 98 1017 82 60 14 32 0 84 75 13919 0 97 11317 72 63 26931
Table 8.1. Greenland halibut in subareas 1 and 2. Nominal Catch (t) by countries (Subarea 1, divisions 2a, and 2b combined) as officially reported to ICES.

* Provisional figures.

Year Denmark Estonia Faroe Islands Germany France Greenland Iceland Ireland Latvia Lithuania Norway Poland Portugal Russia Spain United Kingdom Total
1984 0 0 0 0 0 0 0 0 0 0 398 0 0 81 0 17 496
1985 0 0 0 0 0 0 0 0 0 0 524 0 0 122 0 1 647
1986 0 0 0 1 0 0 0 0 0 0 538 0 0 615 0 6 1160
1987 0 0 0 2 0 0 0 0 0 0 771 0 0 259 0 10 1042
1988 0 0 9 4 0 0 0 0 0 0 901 0 0 420 0 7 1341
1989 0 0 0 0 0 0 0 0 0 0 2038 0 0 482 0 0 2520
1990 0 0 7 0 0 0 0 0 0 0 1304 0 0 321 0 0 1632
1991 0 164 0 0 0 0 0 0 0 0 2027 0 0 522 0 0 2713
1992 0 0 0 0 0 0 0 0 0 0 2349 0 0 467 0 0 2816
1993 0 0 32 0 0 0 56 0 0 0 1754 0 0 867 0 0 2709
1994 0 0 17 217 0 0 15 0 0 0 1165 0 0 175 0 0 1589
1995 0 0 12 0 0 0 25 0 0 0 1352 0 0 270 84 0 1743
1996 0 0 2 0 0 0 70 0 0 0 911 0 0 198 0 0 1181
1997 0 0 15 0 0 0 62 0 0 0 610 0 0 170 0 0 857
1998 0 0 47 0 0 0 23 0 0 0 859 0 0 491 0 2 1422
1999 0 0 91 0 0 13 7 0 0 0 1101 0 0 1203 0 0 2415
2000 0 0 0 0 0 0 16 0 0 0 1021 0 0 1169 0 0 2206
2001 0 0 0 0 0 0 9 0 0 0 858 0 0 951 0 2 1820
2002 0 0 0 3 0 0 0 0 0 0 834 0 0 1167 0 0 2004
2003 0 0 48 0 0 2 0 1 0 0 962 1 0 887 0 1 1902
2004 0 0 0 0 0 0 1 0 0 0 866 0 0 633 0 3 1503
2005 0 0 0 0 1 0 0 0 0 0 572 0 0 595 0 3 1171
2006 0 0 17 1 0 0 1 0 0 0 575 0 0 626 0 2 1222
2007 0 0 18 0 1 198 3 0 0 0 514 0 3 438 0 4 1179
2008 0 0 13 0 1 0 5 0 0 0 599 0 0 390 0 0 1008
2009 0 0 33 0 0 16 5 0 0 0 734 0 0 483 0 0 1271
2010 0 0 15 0 0 0 16 0 0 0 659 0 0 708 0 0 1398
2011 0 0 63 0 0 0 6 0 0 0 862 0 0 782 0 0 1713
2012 0 0 8 5 0 0 7 0 0 0 921 0 0 1368 0 7 2316
2013 0 0 39 1 8 0 100 0 0 0 1055 4 0 1440 2 8 2657
2014 0 0 143 8 11 19 38 0 0 0 1036 7 0 1261 1 14 2538
2015 0 0 108 14 5 14 47 0 0 0 1091 5 0 1681 8 10 2983
2016 0 353 88 2 3 3 38 0 0 0 1265 12 0 1171 0 20 2955
2017 0 519 133 4 4 2 8 0 3 72 1389 9 1 1125 3 21 3293
2018 0 574 104 9 16 2 20 0 0 199 1008 4 1 1083 2 97 3119
2019 0 588 116 27 9 6 6 0 0 348 939 119 0 932 16 49 3155
2020 0 579 123 37 3 15 18 0 0 258 1389 96 0 788 36 2 3344
2021 0 382 200 17 1 10 0 0 0 125 1617 9 0 713 14 11 3099
2022* 0 253 120 21 24 5 0 0 75 136 1151 0 5 494 18 0 2302
2023* 0 98 177 6 11 5 0 0 84 74 951 0 26 611 28 0 2072
Table 8.2. Greenland halibut in subareas 1 and 2. Nominal catch (t) by countries in Subarea 1 as officially reported to ICES.

* Provisional figures.

Year Denmark Estonia Faroe Islands Germany France Greenland Iceland Ireland Latvia Lithuania Norway Poland Portugal Russia Spain United Kingdom Total
1984 0 0 0 265 138 0 0 0 0 0 3062 0 0 5459 0 1 8925
1985 0 0 0 254 239 0 0 0 0 0 4691 0 0 6894 0 2 12080
1986 0 0 6 97 13 0 0 0 0 0 6302 0 0 5553 0 6 11977
1987 0 0 0 75 13 0 0 0 0 0 5550 0 0 4739 0 54 10431
1988 0 0 177 150 67 0 0 0 0 0 7671 0 0 4002 0 58 12125
1989 0 0 67 104 31 0 0 0 0 0 6265 0 0 4964 0 6 11437
1990 0 0 133 12 49 0 0 0 0 0 7605 0 0 1246 0 1 9046
1991 0 1400 314 21 119 0 0 0 0 0 11189 0 0 305 0 1 13349
1992 0 0 16 1 108 13 0 0 0 0 3586 0 15 58 0 1 3798
1993 0 0 29 14 78 8 0 0 0 0 7977 0 17 210 0 2 8335
1994 0 0 0 33 47 3 0 4 0 0 6382 0 26 67 0 14 6576
1995 0 0 0 30 174 12 0 2 0 0 6354 0 60 227 0 85 6944
1996 0 0 0 34 219 123 0 0 0 0 9508 0 55 466 4 335 10744
1997 0 0 0 23 253 0 0 0 0 0 5702 0 41 334 1 46 6400
1998 0 0 0 16 67 0 0 1 0 0 6661 0 80 530 5 115 7475
1999 0 0 0 20 0 25 0 2 0 0 13064 0 33 734 1 108 13987
2000 0 0 0 10 43 0 0 0 0 0 7536 0 18 690 1 108 8406
2001 0 0 0 49 122 0 9 1 0 0 8935 0 13 726 5 86 9946
2002 0 0 0 9 7 22 4 0 0 0 5877 0 3 849 0 40 6811
2003 0 0 390 5 2 12 0 0 0 0 6713 0 10 1762 14 63 8971
2004 0 0 0 4 0 0 9 0 0 0 11704 0 24 810 4 1 12556
2005 0 0 0 3 31 0 0 0 0 0 11216 0 11 1406 0 23 12690
2006 0 0 175 0 38 0 7 0 0 0 8897 0 6 950 0 8 10081
2007 0 0 162 2 37 0 12 0 0 0 6761 0 2 489 0 10 7475
2008 0 0 646 4 38 0 23 0 0 0 5566 1 1 1170 3 16 7468
2009 0 0 379 0 13 0 10 0 0 0 6456 0 9 1531 0 60 8458
2010 0 0 255 0 102 15 0 0 0 0 6426 0 0 4757 0 22 11577
2011 0 0 467 0 45 4 1 0 0 0 7080 0 0 3643 0 4 11244
2012 0 0 553 0 37 12 6 0 0 0 7934 0 0 3878 0 14 12434
2013 0 0 739 0 150 22 6 0 0 0 8213 0 2 4144 0 75 13351
2014 0 0 741 0 255 1 48 0 0 0 8640 0 0 4800 0 184 14669
2015 0 0 614 2 221 2 51 0 0 0 8742 0 1 3691 0 79 13403
2016 0 0 986 6 216 14 37 0 0 0 10073 6 7 1797 0 19 13161
2017 0 0 841 0 161 21 2 0 0 0 10126 0 7 1853 0 16 13027
2018 0 0 296 1 104 9 4 0 0 1 11255 2 5 1398 0 6 13081
2019 0 0 232 15 95 16 4 0 0 0 12143 3 7 2754 3 12 15284
2020 0 0 385 21 34 28 1 0 0 0 11430 0 8 2690 0 3 14600
2021 0 0 530 20 123 4 0 0 0 0 9647 0 0 842 5 109 11280
2022* 0 0 888 10 26 14 27 0 0 0 9814 0 11 740 0 25 11555
2023* 0 0 770 20 13 5 32 0 0 0 11283 0 35 1248 4 24 13434
Table 8.3. Greenland halibut in subareas 1 and 2. Nominal catch (t) by countries in Division 2a as officially reported to ICES.

* Provisional figures.

Year Denmark Estonia Faroe Islands Germany France Greenland Iceland Ireland Latvia Lithuania Norway Poland Portugal Russia Spain United Kingdom Total
1984 0 0 0 1900 0 0 0 0 0 0 80 0 0 9641 0 5 11626
1985 0 0 0 3746 0 0 0 0 0 0 71 0 0 3221 0 2 7040
1986 0 0 36 2620 0 0 0 0 0 0 944 0 0 6032 0 0 9632
1987 0 0 0 1947 0 0 0 0 0 0 572 0 0 4735 0 17 7271
1988 0 0 0 590 0 0 0 0 0 0 239 0 0 5008 0 19 5856
1989 0 0 0 496 0 0 0 0 0 0 533 0 0 3366 0 0 4395
1990 0 0 23 942 0 0 0 0 0 0 7706 0 0 3197 0 9 11877
1991 11 1000 0 80 0 0 0 0 0 0 14369 0 0 1663 132 1 17256
1992 0 0 0 12 3 0 0 0 0 0 1732 0 16 193 23 9 1988
1993 2 0 0 8 2 0 0 0 0 30 649 0 26 158 0 14 889
1994 4 0 1 46 8 0 0 1 0 4 881 0 10 41 1 64 1061
1995 0 0 0 5 0 0 0 0 0 0 1662 0 24 297 1022 37 3047
1996 0 0 0 47 0 0 0 0 0 0 1204 0 24 912 196 39 2422
1997 0 0 12 33 0 0 0 2 0 0 1349 12 9 534 156 46 2153
1998 0 0 10 18 0 0 0 1 0 0 915 31 19 1638 254 110 2996
1999 0 0 3 14 0 0 0 0 0 0 839 8 16 1886 318 31 3115
2000 0 0 0 5 2 0 0 1 0 0 526 3 19 2709 374 46 3685
2001 0 0 0 9 0 0 0 0 0 0 1103 2 22 3017 413 42 4608
2002 0 219 0 30 0 0 0 6 0 0 432 5 11 3568 178 29 4478
2003 0 0 21 13 0 0 0 0 0 0 541 4 9 1735 216 35 2574
2004 0 0 0 5 0 0 0 0 0 0 1369 1 26 3219 182 39 4841
2005 0 170 0 5 0 0 0 0 0 0 1223 0 12 2882 660 21 4973
2006 0 0 12 7 8 0 0 0 0 196 1647 201 20 4479 2 2 6574
2007 0 0 23 6 2 0 0 0 0 0 955 200 45 5557 11 5 6804
2008 0 0 4 1 2 0 0 0 0 0 1229 200 45 3734 109 10 5334
2009 0 0 10 19 3 0 0 2 0 0 1256 204 228 1321 202 8 3253
2010 0 0 2 14 0 0 0 0 0 0 615 3 11 1423 188 4 2260
2011 0 0 8 80 1 0 0 0 0 234 406 169 21 2628 144 36 3727
2012 0 0 2 35 3 0 0 0 0 0 476 22 1 4795 186 14 5534
2013 0 0 5 48 10 0 0 1 0 0 1136 26 5 4724 10 9 5974
2014 0 0 3 25 3 4 0 0 0 0 1321 12 0 4000 22 14 5404
2015 0 0 2 17 4 0 0 0 0 0 1042 8 0 7581 17 25 8696
2016 2 0 4 1 10 1 0 0 0 0 1594 8 12 7593 27 17 9269
2017 0 4 19 17 12 3 0 0 0 0 2226 17 5 7737 33 46 10119
2018 2 0 1 40 30 9 0 0 0 6 2611 21 0 9590 58 31 12399
2019 0 0 2 2 1 1 0 0 0 0 1784 0 1 8512 68 14 10385
2020 1 0 6 15 2 5 0 0 0 3 1707 1 1 8788 60 40 10629
2021 1 0 19 51 13 0 0 0 0 0 2744 5 0 10839 106 57 13835
2022* 0 0 47 63 35 28 0 0 0 0 2835 0 44 10512 145 89 13798
2023* 1 0 70 56 36 4 0 0 0 1 1685 0 36 9458 40 39 11426
Table 8.4. Greenland halibut in subareas 1 and 2. Nominal catch (t) by countries in Division 2b as officially reported to ICES.

* Provisional figures.

Year Gillnet Longline Trawl Danish seine Other
1980 1189 336 11759 - -
1981 730 459 13829 - -
1982 748 679 15362 - -
1983 1648 1388 19111 - -
1984 1198 3760 16072 9 7
1985 1668 2484 15532 2 83
1986 1637 2626 18501 4 0
1987 2021 2198 14456 7 61
1988 2691 2381 14226 21 3
1989 1282 1738 15304 - 29
1990 1264 2322 18539 0 430
1991 1904 4652 26698 53 10
1992 1598 1913 5030 33 28
1993 1497 3047 7359 29 -
1994 1548 2319 5330 29 0
1995 1588 4167 5902 68 8
1996 1495 4582 8123 87 60
1997 998 3388 4984 15 25
1998 1327 3834 6660 25 46
1999 2570 6842 9970 75 61
2000 1765 4972 7431 62 67
2001 2111 6239 7832 124 67
2002 1737 5273 6120 117 46
2003 2049 5330 5791 242 34
2004 2384 7126 8766 614 9
2005 1842 7512 9014 441 24
2006 1503 6137 10023 205 10
2007 998 4500 9836 120 4
2008 901 3574 9318 9 8
2009 1409 4954 6567 34 17
2010 1449 5440 8166 170 10
2011 1583 5040 9807 239 15
2012 1929 5601 12337 413 5
2013 2397 5805 13601 176 0
2014 2647 6146 13628 183 8
2015 2508 6287 15778 489 18
2016 2646 7290 14769 650 30
2017 2677 7221 15832 681 27
2018 3021 7303 17422 842 11
2019 3343 7027 17335 1118 0
2020 2976 6984 17541 1055 17
2021 2930 7382 16987 884 33
2022* 2996 6426 17228 990 16
2023* 3392 6242 15989 1293 15
Table 8.5. Greenland halibut in subareas 1 and 2. Landings by gear (t).

* Provisional figures.

Year   USSR catch/hour trawling (t) Norway10 catch/hour trawling (t) Average CPUE Total effort (in 1000 hrs trawling)5 CPUE 7+6 GDR7 (catch/day tonnage (kg))
    RT1   PST2   A8 B9 A3 B4      
1965   0.80   -   - - 0.80 - - - -
1966   0.77   -   - - 0.77 - - - -
1967   0.70   -   - - 0.70 - - - -
1968   0.65   -   - - 0.65 - - - -
1969   0.53   -   - - 0.53 - - - -
1970   0.53   -   - - 0.53 - 169 0.50 -
1971   0.46   -   - - 0.46 - 172 0.43 -
1972   0.37   -   - - 0.37 - 116 0.33 -
1973   0.37   -   0.34 - 0.36 - 83 0.36 -
1974   0.40   -   0.36 - 0.38 - 100 0.36 -
1975   0.39   0.51   0.38 - 0.39 0.45 99 0.37 -
1976   0.40   0.56   0.33 - 0.37 0.45 100 0.34 -
1977   0.27   0.41   0.33 - 0.30 0.37 96 0.26 -
1978   0.21   0.32   0.21 - 0.21 0.27 123 0.17 -
1979   0.23   0.35   0.28 - 0.26 0.32 67 0.19 -
1980   0.24   0.33   0.32 - 0.28 0.33 47 0.25 -
1981   0.30   0.36   0.36 - 0.33 0.36 42 0.28 -
1982   0.26   0.45   0.41 - 0.34 0.43 39 0.37 -
1983   0.26   0.40   0.35 - 0.31 0.38 58 0.32 -
1984   0.27   0.41   0.32 - 0.30 0.37 59 0.30 -
1985   0.28   0.52   0.37 - 0.33 0.45 44 0.37 -
1986   0.23   0.42   0.37 - 0.30 0.40 57 0.32 -
1987   0.25   0.50   0.35 - 0.30 0.43 44 0.35 -
1988   0.20   0.30   0.31 - 0.26 0.31 63 0.26 4.26
1989   0.20   0.30   0.26 - 0.23 0.28 73 0.19 2.95
1990   -   0.20   0.27 - - 0.24 95 0.16 1.66
1991   -   -   0.24 - - - 134 0.18 -
1992   -   -   0.46 0.72 - - 20 0.29 -
1993   -   -   0.79 1.22 - - 15 0.65 -
1994   -   -   0.77 1.27 - - 11 0.70 -
1995   -   -   1.03 1.48 - - - - -
1996   -   -   1.45 1.82 - - - - -
1997   0.71   -   1.23 1.60 - - - - -
1998   0.71   -   0.98 1.35 - - - - -
1999   0.84   -   0.82 1.77 - - - - -
2000   0.94   -   1.38 1.92 - - - - -
2001   0.82 11 -   1.18 1.57 - - - - -
2002   0.85   -   1.07 1.82 - - - - -
2003   0.97 12 -   0.86 2.45 - - - - -
2004   0.63 13 -   1.16 1.79 - - - - -
2005   0.61 12 -   1.30 2.29 - - - - -
2006   0.57 12 -   0.96 2.09 - - - - -
2007   0.64 12 -   - - - - - - -
2008   0.48 12 -   - - - - - - -
2009   0.77 13 -   - - - - - - -
2010       1.57 12 - - - - - - -
2011       2.32 12              
2012       2.06 12              
2013       2.25 12              
2014       2.52 12              
Table 8.6. Greenland halibut in subareas 1 and 2. Catch per unit effort and total effort.

1 Side trawlers, 800–1000 hp. From 1983 onwards, stern trawlers (SRTM), 1000 hp. From 1997 based on research fishing.

2 Stern trawlers, up to 2000 HP.

3 Arithmetic average of CPUE from USSR RT (or SRTM trawlers) and Norwegian trawlers.

4 Arithmetic average of CPUE from USSR PST and Norwegian trawlers.

5 For the years 1981–1990, based on average CPUE type B. For 1991–1993, based on the Norwegian CPUE, type A.

6 Total catch (t) of seven years and older fish divided by total effort.

7 For the years 1988–1989, frost-trawlers 995 BRT (FAO Code 095). For 1990, factory trawlers S IV, 1943 BRT (FAO Code 090).

8 Norwegian trawlers, ISSC-code 07, 250–499.9 GRT.

9 Norwegian factory trawlers, ISSCFV-code 09, 1000-1999.9 GRT

10 From 1992 based on research fishing. 1992–1993: two weeks in May/June and October; 1994–1995: 10 days in May/June

11 Based on fishery from April-October only, a period with relatively low CPUE. In previous years fishery was carried out throughout the whole year.

12 Based on fishery from October-December only, a period with relatively high CPUE.

13 Based on fishery from October-November only.

Year Norway Russia Other Total Year Norway Russia Other Total
1935 1534 - - 1534 1980 2528 7670 2457 12655
1936 830 - - 830 1981 3648 9276 1541 14465
1937 616 - - 616 1982 2997 12394 1189 16580
1938 329 - - 329 1983 4509 15152 2112 21773
1939 459 - - 459 1984 3540 15181 2326 21047
1940 846 - - 846 1985 5287 10237 4244 19768
1941 1663 - - 1663 1986 7783 12200 2785 22768
1942 955 - - 955 1987 6893 9733 2118 18744
1943 824 - - 824 1988 8811 9430 1081 19322
1944 678 - - 678 1989 8837 8812 704 18353
1945 1148 - - 1148 1990 16615 4764 1176 22555
1946 1337 25 - 1362 1991 27585 2490 3243 33318
1947 1409 28 - 1437 1992 7668 718 217 8603
1948 1877 110 - 1987 1993 10379 1235 318 11932
1949 198 177 - 375 1994 8428 283 515 9226
1950 1853 221 - 2074 1995 9368 794 1572 11734
1951 2438 423 - 2861 1996 11623 1576 1148 14347
1952 2576 377 - 2953 1997 7661 1038 711 9410
1953 2208 393 - 2601 1998 8435 2659 799 11893
1954 3674 416 - 4090 1999 15004 3823 690 19517
1955 3010 290 - 3300 2000 9083 4568 646 14297
1956 3493 446 - 3939 2001 10896 4694 784 16374
1957 4130 505 - 4635 2002 7143 5584 566 13293
1958 2931 1261 - 4192 2003 8215 4384 847 13446
1959 4307 3632 - 7939 2004 13939 4662 299 18900
1960 6662 4299 - 10961 2005 13011 4883 940 18834
1961 7977 3836 - 11813 2006 11118 6055 703 17876
1962 11600 1760 - 13360 2007 8230 6484 744 15458
1963 11300 3240 - 14540 2008 7393 5294 1122 13809
1964 14200 26191 - 40391 2009 8446 3335 1201 12982
1965 18000 16682 - 34682 2010 7700 6888 647 15235
1966 16434 9768 119 26321 2011 8348 7053 1283 16684
1967 17528 5737 1002 24267 2012 9331 10041 912 20284
1968 22514 3397 257 26168 2013 10404 10306 1270 21980
1969 14856 19760 9173 43789 2014 10997 10061 1553 22611
1970 15871 35578 38035 89484 2015 10874 12953 1254 25081
1971 9466 54339 15229 79034 2016 12932 10561 1892 25385
1972 15983 16193 10872 43048 2017 13741 10713 1983 26437
1973 13989 8561 7349 29899 2018 14875 12071 1654 28600
1974 8791 16958 11972 37721 2019 14867 12196 1760 28823
1975 4858 20372 12914 38144 2020 14526 12265 1781 28572
1976 6005 16580 13469 36054 2021 14008 12396 1812 28216
1977 3017 15045 9613 27675 2022* 13800 11746 2109 27655
1978 2980 14651 5884 23515 2023* 13919 11317 1695 26931
1979 2314 10311 4088 16713          
Table 8.7. Greenland halibut in subareas 1 and 2. Catch history back to 1935.

* Provisional figures.

Year Denmark Faroe Islands France Germany Greenland Ireland Norway Russia United Kingdom Netherlands Belgium Iceland Portugal Total
1973 0 0 0 4 0 0 9 8 28 0 0 0 0 49
1974 0 0 0 2 0 0 2 0 30 0 0 0 0 34
1975 0 0 0 1 0 0 4 0 12 0 0 0 0 17
1976 0 0 0 1 0 0 2 0 18 0 0 0 0 21
1977 0 0 0 2 0 0 2 0 8 0 0 0 0 12
1978 0 0 2 30 0 0 0 0 1 0 0 0 0 33
1979 0 0 2 16 0 0 2 0 1 0 0 0 0 21
1980 0 177 0 34 0 0 5 0 0 0 0 0 0 216
1981 0 0 0 0 0 0 7 0 0 0 0 0 0 7
1982 0 0 2 26 0 0 17 0 0 0 0 0 0 45
1983 0 0 1 64 0 0 89 0 0 0 0 0 0 154
1984 0 0 3 50 0 0 32 0 0 0 0 0 0 85
1985 0 1 2 49 0 0 12 0 0 0 0 0 0 64
1986 0 0 30 2 0 0 34 0 0 0 0 0 0 66
1987 0 28 16 1 0 0 35 0 0 0 0 0 0 80
1988 0 71 62 3 0 0 19 0 1 0 0 0 0 156
1989 0 21 14 1 0 0 197 0 5 0 0 0 0 238
1990 0 10 30 3 0 0 29 0 4 0 0 0 0 76
1991 0 48 291 1 0 0 216 0 2 0 0 0 0 558
1992 1 15 416 3 0 0 626 0 1 0 0 0 0 1062
1993 1 0 78 1 0 0 858 0 10 0 0 0 0 948
1994 0 103 84 4 0 0 724 0 6 0 0 0 0 921
1995 0 706 165 2 0 0 460 0 335 0 0 0 0 1668
1996 0 0 249 1 0 0 1496 0 264 0 0 0 0 2010
1997 0 0 316 3 0 0 873 0 163 0 0 0 0 1355
1998 0 0 71 10 0 10 804 0 470 0 0 0 0 1365
1999 0 0 0 1 0 18 2157 0 401 0 0 0 0 2577
2000 0 0 41 10 0 19 498 0 259 0 0 0 0 827
2001 0 0 43 0 0 10 470 0 324 0 0 0 0 847
2002 0 0 8 0 0 2 200 0 256 0 0 0 0 466
2003 0 0 1 0 0 0 453 0 122 0 0 0 0 576
2004 0 0 0 0 0 0 413 0 90 0 0 0 0 503
2005 0 0 2 0 0 0 58 0 4 0 0 0 0 64
2006 0 0 3 0 0 0 90 0 7 0 0 0 1 101
2007 0 1 0 0 0 0 133 0 7 0 0 0 0 141
2008 0 0 0 0 0 0 15 0 22 0 0 0 0 37
2009 0 9 23 0 0 0 5 0 129 0 0 0 0 166
2010 0 1 38 0 0 0 10 0 49 0 0 1 0 99
2011 0 1 39 0 0 0 95 0 44 0 0 0 0 178
2012 0 0 14 0 0 0 788 0 43 0 0 0 0 844
2013 0 0 25 0 0 0 377 0 174 0 0 0 0 577
2014 0 2 27 0 0 0 723 0 104 0 0 0 0 856
2015 0 0 34 1 0 0 1151 0 127 0 0 0 0 1313
2016 0 0 31 0 0 0 983 0 120 0 0 0 0 1133
2017 0 0 20 0 0 0 753 0 73 0 0 0 0 847
2018 0 1 15 0 0 0 472 0 42 2 0 0 0 532
2019 0 0 21 0 0 0 241 0 14 4 0 0 0 281
2020 0 0 10 0 0 0 663 0 45 4 0 0 0 722
2021 0 4 19 0 0 0 0 0 121 0 0 0 0 143
2022* 0 207 13 0 0 0 522 0 150 0 0 0 0 892
2023* 0 58 7 0 0 0 473 0 168 0 0 0 0 705
Table 8.8. Greenland halibut in ICES Division 4.a (North Sea). Nominal catch (t) by countries as officially reported to ICES. Not included in the assessment.

* Provisional figures.

Year (0,30] (30,35] (35,40] (40,45] (45,50] (50,55] (55,60] (60,65] (65,70] (70,75] (75,80] 80+ Total
1984 1138 2975 5319 9159 7185 5597 2256 1731 1539 1033 536 246 38713
1985 5606 2581 5506 7348 6676 3978 2038 1279 1154 834 414 173 37587
1986 2273 3488 6409 8074 7712 6427 2596 1263 1335 918 398 142 41034
1987 1666 2857 4025 4357 3065 1670 696 505 357 162 105 31 19496
1988 1194 1975 2647 2007 1599 1179 270 282 181 69 118 77 11599
1989 419 2180 5852 6088 3742 1990 804 490 448 233 43 30 22318
1990 254 1601 4303 3911 3608 2729 915 309 204 191 41 40 18106
1991 306 1026 3632 5059 3590 2257 639 544 153 128 56 27 17417
1992 36 879 9184 16058 12586 10043 4542 2209 1322 380 173 53 57464
1993 0 72 1456 6016 9200 5377 1954 1324 991 574 145 122 27231
1994 107 87 725 5931 6872 5827 2262 927 602 314 40 41 23736
1995 0 14 1024 10123 12263 5162 1722 1063 640 371 101 32 32516
1996 0 21 1451 17480 30966 17523 5763 1852 1029 576 151 32 76844
1997 70 121 1056 7606 16561 10309 3292 1116 943 436 107 36 41653
1998 26 166 1559 7456 19972 15019 5668 1851 869 285 105 43 53018
1999 236 131 766 5583 16452 15352 6263 2966 1435 446 194 78 49902
2000 755 708 2266 8003 17910 17443 8610 3513 2125 791 221 101 62448
2001 427 1335 4399 11113 23242 20938 9356 4117 2607 1201 518 299 79553
2002 310 1407 3845 7322 9536 5214 2657 1262 678 174 64 25 32494
2003 122 1162 3339 6484 9135 5230 3218 2948 2557 722 301 187 35403
2004 266 1529 6759 9240 13358 11174 7596 5329 3867 1819 674 506 62117
2005 136 1680 4136 8258 8866 8399 4791 3777 2361 852 293 464 44013
2006 73 1565 14827 25958 25724 18234 9501 4934 3461 1506 565 504 106850
2007 678 2394 12640 14752 15438 12187 7122 3749 2186 799 273 152 72369
2008 338 2444 10242 17093 21842 24209 18308 8870 7414 3776 1657 850 117044
2009 80 3270 22312 31713 28283 24096 16933 5995 3994 2158 706 590 140130
2010 144 3998 30662 51444 39762 32576 16815 7180 6761 3539 1334 1259 195474
2011 200 1001 18079 42924 55212 46426 38215 15612 8480 6278 3031 864 236322
2012 10 524 8728 39585 41830 33768 23212 9040 5025 3093 1598 835 167248
2013 - - - - - - - - - - - - -
2014 16 1319 8446 30085 37787 26980 16527 5917 3299 1657 571 360 132964
2015 39 1119 9310 29876 34420 24963 12575 6904 2702 820 506 183 123416
2016 - - - - - - - - - - - - -
2017 7 1270 5064 14951 24982 29977 17329 7054 3473 1502 343 387 106339
2018 - - - - - - - - - - - - -
2019 144 2186 13500 27130 28572 22536 13943 5825 3080 1654 707 466 119742
Table 8.9. Abundance indices (in thousands) of different length groups in Russian autumn survey.
Year (0,30] (30,35] (35,40] (40,45] (45,50] (50,55] (55,60] (60,65] (65,70] (70,75] (75,80] (80,200] Sum
1996 2 29 1009 10692 20030 11244 3760 1536 1014 411 133 58 49918
1997 1 80 1421 10690 19311 10802 3807 1837 1052 484 184 95 49764
1998 3 74 957 5763 14474 12658 5265 2243 1309 523 192 115 43577
1999 3 57 550 4629 13893 15236 6684 3356 2305 922 393 176 48203
2000 8 169 1121 4495 9538 11646 5816 2590 1347 590 220 111 37650
2001 22 355 1955 5980 11835 12829 6680 3084 1863 694 317 131 45746
2002 43 449 1897 5234 9620 11161 6319 2987 1571 636 239 126 40281
2003 23 748 3515 6958 10931 13029 8279 4769 2547 928 469 222 52419
2004 22 1014 3674 5504 8941 11044 6255 4019 2176 968 402 232 44251
2005 110 2128 5859 8307 8145 6792 4108 2866 1724 670 294 199 41202
2006 35 1214 5140 7416 8448 8047 5092 3315 2022 809 370 253 42162
2007 144 4034 18450 16416 10410 6954 4086 2026 1125 414 163 110 64331
2008 458 6041 12820 11714 7884 5978 3023 1743 1110 440 149 176 51538
2009 54 2645 13536 16751 11332 8344 4747 2413 1823 711 284 211 62851
2011 0 377 5536 14368 13765 10668 5352 1793 1612 881 440 330 55123
2013 4 134 2420 11053 12859 7408 3880 1389 688 357 213 115 40520
2015 9 774 3982 13688 15619 9195 4165 1859 867 440 194 151 50943
2017 18 342 2259 6006 9796 8924 5035 1841 832 259 132 125 35570
2019 0 677 4192 8117 9053 5738 3064 1215 570 222 73 84 33005
2021 86 1644 4635 10264 12302 9064 4643 2445 917 275 112 32 46418
2023 362 2698 3624 5179 6120 5472 2881 1388 557 183 44 63 28571
Table 8.10. Abundance indices of different length groups in Norwegian autumn slope survey (in thousands).
Year (0,30] (30,35] (35,40] (40,45] (45,50] (50,55] (55,60] (60,65] (65,70] (70,75] (75,80] (80,200] Sum
1996 0 11 334 2127 4277 2893 1893 1347 942 404 133 58 14420
1997 0 42 657 2052 3711 2902 1897 1643 1008 484 182 95 14671
1998 2 26 353 1037 2785 3986 2864 2050 1281 521 192 115 15210
1999 1 11 207 880 2367 4214 3510 2996 2235 906 385 176 17889
2000 5 64 435 1083 1377 2012 2428 2109 1292 589 220 111 11725
2001 11 159 758 1407 1648 1905 2556 2595 1838 694 317 131 14020
2002 29 207 733 1243 1297 1749 2297 2352 1528 632 239 126 12434
2003 18 345 1649 2009 1670 2340 3434 4121 2493 925 469 222 19695
2004 9 445 1534 1550 1436 2113 3029 3675 2145 950 401 232 17517
2005 35 737 1910 1925 1254 1341 2093 2576 1703 668 294 199 14735
2006 19 542 2096 2163 1789 1587 2158 2890 1971 801 369 249 16634
2007 85 2111 8639 6230 2667 1620 1897 1735 1106 405 163 107 26766
2008 249 3159 5536 3703 2137 1456 1463 1577 1095 440 149 175 21137
2009 28 1052 5223 5459 3072 2176 2155 2038 1736 700 268 200 24107
2011 0 149 1623 2757 2367 1578 1063 1354 1553 875 440 330 14088
2013 0 35 492 1632 2023 1421 1004 1035 679 354 213 115 9003
2015 5 308 1385 1954 2623 2502 1694 1374 854 440 194 151 13484
2017 15 169 864 1435 1863 1725 1908 1270 820 259 132 125 10587
2019 0 321 1714 2004 1867 1530 1379 952 531 222 73 84 10678
2021 40 851 1775 1793 2203 1798 2152 2066 880 275 112 32 13976
2023 164 1284 1578 1298 1390 1338 1318 1187 546 183 44 63 10392
Table 8.11. Abundance indices of females of different length groups in Norwegian autumn slope survey (in thousands).
Framework Reference point Value Technical basis
MSY approach MSY  19142 t Maximum sustainable yield
HR MSY 0.139 HR (>=45cm) leading to MSY
Precautionary approach B lim 33391 t Lowest modelled mature female substock biomass
B pa 46747 t B lim x 1.4
B trigger 46747 t B pa
HR lim 0.165 HR (>=45cm) leading to P(SSB<B lim )=0.5
HR pa 0.145 HR(>=45cm), when ICES AR is applied, leading to P(SSB > Blim) = 0.05
Table 8.12. Reference points, values, and their technical basis for NEA G. halibut.
Basis Total catch (2025) HR (2025) SSB (2026) % Biomass change * % TAC change ** % Advice change ***
ICES advice basis
MSY approach: HRMSY x SSB2025/Bpa 12 431 0.117 41 231 4.5 -42 -20
Other scenarios
HRMSY 14 726 0.139 40 214 1.9 -31 -5.4
HR=0 0 0 46 739 18 -100 -100
Assumed catch in 2024 23 050 0.217 35 756 -9.4 8.5 48
Table 8.13. Greenland halibut in ICES subareas 1 and 2 (Northeast Arctic). Annual catch scenarios for 2025. All weights are in tonnes. The advice basis using HR MSY and three other scenarios are listed in the first column. Columns thereafter: total allowable catch (TAC), harvest rate (HR) for ≥ 45 cm fish, female spawning stock biomass (SSB) in the beginning of 2026.

* SSB start of 2026 relative to end of 2024.   

** Advice value for 2025 relative to the TAC value in 2024 (21 250 tonnes).  

*** Advice value for 202 5 relative to the advice value for 202 4 (15 560 tonnes) .  

 

Basis Total catch (2026) HR (2026) SSB (2027) % Biomass change * % TAC change ** % Advice change ***
ICES advice basis
MSY approach: HRMSY x SSB2026/Bpa 14 891 0.123 43 042 9.1 -30 -4.3
Other scenarios
HRMSY 16 538 0.139 41 278 4.6 -22 6.3
HR=0 0 0 55 330 40 -100 -100
Assumed catch in 2024 23 050 0.209 33 330 -16 8.5 48
Table 8.14. Greenland halibut in ICES subareas 1 and 2 (Northeast Arctic). Annual catch scenarios for 2026. All weights are in tonnes. The advice basis using HR MSY and three other scenarios are listed in the first column. Columns thereafter: total allowable catch (TAC), harvest rate (HR) for ≥ 45 cm fish, female spawning stock biomass (SSB) in the beginning of 2027.

* SSB start of 2027 relative to end of 2024, i.e the cumulative change over the 2-year advice period.   

** Advice value for 2026 relative to the TAC value in 2024 (21 250 tonnes).  

*** Advice value for 202 6 relative to the advice value for 202 4 (15 560 tonnes) .  

 

 

Landings history
Figure 8.1. NEA Greenland halibut landings. Historical landings (Nedreaas and Smirnov 2003 and AFWG).

 

 

catch distribution map
Figure 8.2. Spatial distribution of Greenland halibut catches in 2023 according to Norwegian electronic logbooks, in all registered fisheries including bycatch (A), and catches where Greenland halibut make more than 50% of the total catches (B).

 

 

catch distribution map
Figure 8.3. Spatial distribution of catches where Greenland halibut make more than 50% of the total catches, according to Norwegian electronic logbooks from 2023. Bubble area is proportional to the size of single catches expressed in metric tonnes. The panels show longline (A), gillnet (B) and trawl (C) catches.

 

 

survey trends compared
Figure 8.4. NEA Greenland halibut. Total biomass estimates from Russian autumn survey and the Norwegian slope survey (for females (top panel) and sexes combined (bottom panel)). Note that the Norwegian survey is run every other year since 2009. Uncertain estimate for 2013 from the Russian survey. Russian data from 1992 and onwards are revised in 2021 (Russkikh WD12). No Russian data for 2016, 2018 and from 2020 and after.

 

 

sex split
Figure 8.5. Greenland halibut abundance by sex for Russian autumn survey (Russkikh and Smirnov, WD16 AFWG 2016) and Norwegian slope survey. Russian data from 1992 and onwards are revised in 2021 (Russkikh WD12).

 

 

male and female trends
Figure 8.6. Estimated Greenland halibut abundance (upper panel) and biomass (lower panel), by sex, from the Norwegian autumn slope survey.

 

 

length distributions
Figure 8.7. Length frequency distribution in the EggaN abundance index. Note biennial surveys after 2009.

 

 

age proportions
Figure 8.8 Length distributions from survey data: EggaS (left) and WinterS (right).

 

 

juvenile biomass
Figure 8.9. Total juvenile biomass indices Eco_SI_1 (10-17cm) and Eco_SI_2(18-27cm) (sex distribution is assumed 50/50 in the juvenile area) for Greenland halibut based on the Barents Sea Ecosystem Survey (A5216) (2014 not included due to poor survey coverage in the juvenile area) and the juvenile survey 1996−2002 (for area see Hallfredsson and Vollen, WD20 AFWG 2015).

 

 

biomass
Figure 8.10. EcoS biomass index for Greenland halibut in the Barents Sea Ecosystem Survey (A5216)

 

 

standard stock assessment graphs
Figure 8.11. From top left to bottom right: Catch (1000 tonnes), recruitment estimate (in millions) for 2 year olds, harvest rate and Spawning stock biomass (SSB) and total stock biomass (TSB) for Greenland halibut as estimated by the GADGET model. Note that the recruitment spike around 2019-2020 is uncertain.

 

 

retrospectives
Figure 8.12. Retrospective analysis using model biomass for each sub-stock and total biomass. Colors are scaled to the number of years removed.

 

 

jitter
Figure 8.13. Jitter results for the model. Negative log-likelihood scores of jitter runs are shown on the left together with standard deviation and CV (in percentage). Total biomass, harvest rate and recruitment are on top of each other on the right. Colour indicates the run number and is standardized across all panels.

 

 

forecasts
Figure 8.14. Internal harvest rates of short-term projection scenarios. Harvest rates are influenced by B pa .

 

 

forecasts
Figure 8.15. Female spawning stock biomass (SSB) of short-term projection scenarios.

 

1 Greenland halibut (Reinhardtius hippoglossoides) in subareas 1 and 2 (Northeast Arctic); ghl.27.1-2.

Annex 1: Working Document no. 6

 

Analysis of the NEA Cod recruitment prediction quality

Introduction

AFWG/JRN-AFWG currently use the Hybrid model to estimate recruitment of NEA cod at the age of 3 (Anon. 2013). The model comprises three components – TES, TEL, RCT3 (Titov, 2021; Shepherd, 1997). Over the last few years, errors in recruitment forecast derived from the Hybrid model have considerably increased. This reason has brought us to test the forecast quality of the three models using the retrospective analysis provided in the methodology. Additionally, five new alternative models - M1, M2, M4, M5, M6 (Trofimov, 2023) - and different scenarios of the persistence forecast were also tested.

Materials and Methods

The study is based on data from the 2023 JRN-AFWG meetings.

Equations of the models and coefficients of determination are given in Table 1. The TES and TEL models use the environmental data collected on the Kola Section (Annex A, Table A1). The RCT3 model uses abundance indices from research surveys of cod at the age of 0, 1, and 2 (Annex A, Table A2). The new models (M1 – M6) use environment and cod spawning stock biomass as predictors (Annex A, Table A3). The models enable forecasting recruitment for various time ahead: TES - 1-2 years in advance, TEL - 1-4 years, RCT3 - 1-3 years, M1, M2, M5 - 1-2 years, M4 - 1 year, M6 - 1-3 years (Trofimov, 2023).

Model's Acronym Regression Equation R 2
TES R 3 ~ DOxSat t-13 2 + ITw t-43 + expIce t-40 + Ice t-15 0.59
TEL R3 ~ OxSat t-39 + ITw t-43 0.36
RCT3 R3 ~ BST1 +BST2 + BST3 + BSA1 + BSA2 + BSA3 -
M1 R3 ~ Tw −3 + FLI −3 0.24
M2 R3 ~ Storms −3 + Tw −3 + FLI −3 0.26
M4 R3 ~ Tw −1 + FLI −3 + SSB −3 0.37
M5 R3 ~ Tw −2 + FLI −3 + SSB −3 0 .20
M6 R3 ~ Tw −3 + FLI −3 + SSB −3 0 .23
Table 1. Regression equations for the NEA cod recruitment forecast at the age of 3 and coefficients of determination for the models configured based on the full dataset available.

A subscript indicates a lagged predictor (in years for M models and months for TES and TEL)

The following parameters were used in the models:

TES and TEL models

DOxSat t-13 2 - a parameter indicating that aeration of bottom layers has a complicated impact on the abundance of cod year-classes;

OxSat t-39 - monthly anomalies of saturation with oxygen in bottom layers at Stations 3-7 of the Kola Section;

ITw t-43 - a feature of active interaction between Arctic and boreal ocean systems on the Barents Sea shelf;

Ice t-15 - monthly average anomalies of ice conditions in the Barents Sea (the percentage ratio of an ice-covered area to the overall area);

expIce t-40 - an exponent of the parameter Ice t-40 ;

"t-k" next to a parameter means the latter is applied with a k-month lag.

RCT3 model

BST1, BST2, BST3 are abundance indices of trawl catches from the February survey at the age of 1, 2, and 3;

BSA1, BSA2, BSA3 are acoustic indices from the February and Lofoten surveys at the age of 1, 2, and 3

M1-M6 models

wNAO - winter index of the NAO (North Atlantic Oscillation);

Storms - storm activity above the Barents Sea;

Tw - the temperature of Atlantic waters in the Kola section;

FLI - the length index of thermal frontal zones of the Barents Sea;

SSB - spawning stock biomass of NEA cod;

-1 next to a parameter means that the latter is applied with one-year lag (similarly -3 is a 3-year lag).

Results

The results of the forecasts made for a retrospective period of 2010-2022 by configured models are given in Table 2. Each of the forecasts was made while setting the models using all data available including the year preceding the year of the forecast, i.e. coefficients of equations were changed for each of the forecasts in the retrospective.

Year TES_1 TEL_1 RCT3_1 TES_2 TEL_2 RCT3_2 TEL_3 RCT3_3 TEL_4 R3 fact
2010 429963 268790 218783     457975   731500   205517
2011 343148 295954 368131 369514 300072 664085   593655   363991
2012 343207 290064 477902 341501 286545 453712 290600 658421   510052
2013 670599 618883 384057 662654 614753 556172 613414 546706 614609 471175
2014 761859 661909 698943 780945 664695 613273 661208 836924 660039 854919
2015 583804 607977 640748 576658 602474 1015260 605004 955217 599357 452525
2016 346312 406355 664434 354775 419309 1004147 413350 482939 415662 285806
2017 592125 528864 763196 595769 534347 432163 540097 536758 535828 770881
2018 784667 682861 522673 767749 676294 722142 683000 761351 690740 492321
2019 583086 554912 948465 606025 560848 989306 554254 685093 560697 635422
2020 493876 502494 881363 490547 498210 746192 510067 385523 498872 540952
2021 558380 588099 510993 556169 586192 315413 583827 388660 590183 386652
2022 614112 602544 244140 621029 609899 342082 606869 494901 603692 197418
Table 2. The results of the retrospective forecasts of cod recruitment at the age of 3 by different models, and "true" recruitment values (as estimated by JRN-AFWG in 2023).

An index next to the acronym indicates the time ahead of a forecast ("_1" is a forecast for a year ahead)

Year M1_1 M2_1 M4_1 M1_2 M2_2 M5_1 M5_2 M6_1 M6_2 M6_3
2010 721403 692425 560213     610350   734671    
2011 459259 438650 468824 608576 589437 503591 625848 508768 664696  
2012 499871 480753 658033 518672 496045 669632 708275 627759 665322 810862
2013 204481 233083 353094 201610 225144 326267 395485 317007 369425 437364
2014 602930 619334 1232034 586965 603580 1237695 1186676 987173 927850 993699
2015 704726 703236 915112 690076 689641 889062 1104750 953006 1025272 947723
2016 491328 394738 718498 528656 432341 671535 879541 632305 850173 940718
2017 434831 361921 566405 459930 383945 549545 671896 476070 592891 795476
2018 546719 469913 560996 510647 394699 608547 570729 579398 530679 611012
2019 595058 550967 477652 601837 546820 515714 531525 578452 588296 560140
2020 724588 644775 665343 720824 631435 707720 698863 743963 739058 747196
2021 580701 494388 482874 594132 513401 492166 499301 570324 584097 577462
2022 421299 365699 412999 434145 378634 418376 425584 417841 430180 437129
Table 2 (continued)

An index next to the acronym indicates the time ahead of a forecast ("_1" is a forecast for a year ahead)

Forecasts for 2 years ahead in all models are highly similar to the one-year-ahead forecast made in the next year (e.g., for TES - Figure 1, Figure 2), with extremely high coefficient of determination between pairs of the forecasts (Table 3). This is deemed natural as the same data series with a different lag are used and the difference only originates from adding one year into the input data series and some changes being made to the parameters of the equation. RCT3 is the only exception since this model uses different datasets for forecasts with different lead times (Figure 3).

 

correlation, consistency plot
Figure 1. Correlation between retrospective TES forecasts for 1 and 2 years ahead.

 

 

recruitment
Figure 2. Comparison of recruitment between retrospective TES forecasts for 1 and 2 years ahead.

 

  TES_1~ TES_2 TEL_1~ TEL_2 TEL_1~ TEL_3 TEL_1~ TEL_4 RCT3_1~ RCT3_2 RCT3_1~ RCT3_3 M1_1~ M1_2 M2_1~ M2_2 M4_1~ M4_2
R2 0.99 1.00 1.00 0.92 0.33 0.00 0.89 0.85 0.89
  М5_1~ М5_2 М6_1~ М6_2 М6_1~ М6_3            
R2 0.87 0.83 0.65            
Table 3. Coefficients of determination between retrospective forecasts of the models for 1-4 years ahead within each thereof.

 

correlation 1 vs 2
Figure 3. Correlation between retrospective recruitment RCT3 forecasts for 1 and 2 years ahead.

 

In a further analysis, therefore, we are comparing the models made for one year ahead, and using the results of that comparison in all the other versions. There is an exception being made for RCT3 and all the versions of the forecast are considered (for 1, 2 and 3 years ahead).

Even though they had had some better results, TES and TEL later also worked relatively well. The retrospective analysis indicated that by the end of the period TES and TEL have a serious deviation from the values observed in cod recruitment (Figure 4). Moreover, in 2023, the observation series of oxygen in the Kola Section broke and the use of these two models in the future is questionable.

 

recruitment history
Figure 4. Comparison of the "true" cod recruitment values and the ones predicted by TES and TEL for one year ahead.

 

In some years, RCT3 has great deviations from the recruitment values observed, but by the end of the period, the forecasts are rather close to the actual information. In the forecast for one year ahead, it indicates the best value of R2 (0.48) among all the models taken (Figure 5). Generally speaking, RCT3 is prone to overestimate recruitment (e.g., in 2015-2016, 2019-20). At the same time, underestimates of recruitment are less frequent and deviations are less critical in this model. Since this model is totally based on the abundance indices at younger ages, it can be concluded that a number of cod year-classes of the review period were relatively more numerous at earlier stages than at the age of 3 and, therefore, their survival rate was below average.

 

recruitment prediction strength
Figure 5. Comparison of the "true" cod recruitment values and the ones predicted by RCT3 for 1-3 years ahead.

 

Just like TES and TEL, the new suggested models to forecast recruitment using environment data show great consistency between forecasts for 1 and 2 years (Figure 6). Therefore, when comparing the models, we consider only the forecasts for one year ahead.

 

M1 comparison
Figure 6. Comparison of the M1 retrospective forecasts for 1 and 2 years ahead in dynamics

 

M1 model

Values of the Intercept parameter and the parameters of the equation of the regressive M1 are given below (Table 4, Table 5).

Year (Intercept) TW3 FLI3 M1_1 M1_2 R3 fact
2009 -1042.0 301.1 0.90 721.4 608.6  
2010 -1031.8 233.6 1.44 459.3 518.7 205.5
2011 -1046.7 227.0 1.52 499.9 201.6 364.0
2012 -1046.2 227.6 1.52 204.5 587.0 510.1
2013 -972.5 239.5 1.26 602.9 690.1 471.2
2014 -976.6 243.7 1.25 704.7 528.7 854.9
2015 -895.8 215.8 1.31 491.3 459.9 452.5
2016 -900.4 206.9 1.40 434.8 510.6 285.8
2017 -870.9 215.2 1.27 546.7 601.8 770.9
2018 -866.9 212.5 1.28 595.1 720.8 492.3
2019 -874.9 215.4 1.28 724.6 594.1 635.4
2020 -818.3 202.3 1.26 580.7 434.1 541.0
2021 -796.9 193.2 1.30 421.3 571.1 386.7
2022 -838.1 194.4 1.37 571.0 462.1 197.4
Table 4. "True" cod recruitment values and parameter values of the regression equation in M1 that change when the model is reset in the retrospective and are predicted by this model for 1 and 2 years ahead.
Year TW3 FLI3 M1_1 M1_2 R3 fact
2009 5.08 362 721.4 608.6  
2010 4.94 307 459.3 518.7 205.5
2011 4.64 283 499.9 201.6 364.0
2012 4.69 317 204.5 587.0 510.1
2013 4.75 111 602.9 690.1 471.2
2014 4.37 421 704.7 528.7 854.9
2015 5.36 302 491.3 459.9 452.5
2016 4.87 256 434.8 510.6 285.8
2017 4.74 254 546.7 601.8 770.9
2018 5.00 269 595.1 720.8 492.3
2019 5.32 258 724.6 594.1 635.4
2020 5.15 385 580.7 434.1 541.0
2021 5.12 287 421.3 571.1 386.7
2022 4.63 249 571.0 462.1 197.4
Table 5. Values of the predictors/factors used in M1

According to M1, an increase of the water temperature and length of the thermal frontal zones results in an increase of cod recruitment (parameter values are positive).

Retrospective forecasts carried out by M1 indicated a positive trend in the Intercept value and respectively negative trend in the parameter value for the TW3 predictor (Figure 7). It means that the temperature starts having less impact on recruitment when new data added. At the same time, the importance of the temperature in the review period increases.

There are no trends seen in the parameter value by the FLI predictor but its variability is high and that is attributed to high variability of the factor and relatively short observation series. However, since factor values in the following years would have had no crucial impact on the model, the parameter value stabilized after there was an abnormally low factor value of 2014 added to the data series and the impact of this point on the regression was very high.

 

recruitment comparisons
Figure 7. Dynamics of the parameter values of M1 that vary when the model is reset in the retrospective (on the left), and the values of the predictors/factors (on the right), given along with "true" recruitment and predicted one.

 

M2 model

The retrospective forecasts carried out by M1 also indicated a positive trend in the Intercept value and respectively negative trend in the parameter value for TW3 (Figure 8, Figure 6). It can again be concluded that the temperature starts to have less impact on recruitment when it increases simultaneously (Table 7) as in M1.

The behavior of the parameter for FLI is similar to M1 but there is a very weak (but crucial at the level of 0.01) negative trend observed here (R2 = 0.06).

There is a negative trend observed in the parameter for Storms3 when there is a huge increase of values of the factor in this period, i.e. the number of stormy days over the review period grew remarkably but the impact of the predictor on cod recruitment decreased even though less remarkably. The factor has a negative impact on recruitment (the parameter is negative) and that means recruitment decreases if there are more storms.

Year (Intercept) TW y-3 FLI3 Storms3 M2_1 M2_2 R3 fact
2009 -958.1 312.1 0.92 -1.37 692.4 589.4  
2010 -872.0 262.0 1.42 -2.62 438.6 496.0 205.5
2011 -878.8 257.7 1.48 -2.70 480.8 225.1 364.0
2012 -879.3 259.2 1.47 -2.67 233.1 603.6 510.1
2013 -797.5 272.8 1.23 -2.94 619.3 689.6 471.2
2014 -788.5 279.1 1.22 -3.15 703.2 432.3 854.9
2015 -707.2 251.6 1.29 -3.17 394.7 383.9 452.5
2016 -683.8 252.3 1.32 -3.60 361.9 394.7 285.8
2017 -712.5 248.8 1.20 -2.55 469.9 546.8 770.9
2018 -718.7 248.8 1.19 -2.48 551.0 631.4 492.3
2019 -744.3 252.4 1.18 -2.32 644.8 513.4 635.4
2020 -696.2 251.5 1.16 -2.67 494.4 378.6 541.0
2021 -671.2 252.6 1.16 -2.98 365.7 439.6 386.7
2022 -689.6 259.0 1.21 -3.26 439.6 300.7 197.4
Table 6. "True" cod recruitment values and parameter values of the regressive equation in M2 that change when the model is reset in the retrospective and are derived from this model for 1 and 2 years ahead.
Year TW3 FLI3 Storms3 M2_1 M2_2 R3 fact
2009 5.08 362 103 692.4 589.4  
2010 4.94 307 127 438.6 496.0 205.5
2011 4.64 283 117 480.8 225.1 364.0
2012 4.69 317 118 233.1 603.6 510.1
2013 4.75 111 106 619.3 689.6 471.2
2014 4.37 421 100 703.2 432.3 854.9
2015 5.36 302 118 394.7 383.9 452.5
2016 4.87 256 143 361.9 394.7 285.8
2017 4.74 254 135 469.9 546.8 770.9
2018 5.00 269 150 551.0 631.4 492.3
2019 5.32 258 146 644.8 513.4 635.4
2020 5.15 385 157 494.4 378.6 541.0
2021 5.12 287 161 365.7 439.6 386.7
2022 4.63 249 142 439.6 300.7 197.4
Table 7. Values of the predictors/factors used in M2.

 

recruitment comparisons
Figure 8. Dynamics of the parameter values of the regression equation in M2 that vary when the model is reset in the retrospective (on the left), and the values of the predictors/factors (on the right), given along with "true" recruitment values and derived ones

 

M4 model

In M4, all predictors (temperature, length of thermal frontal zones and spawning stock biomass) are positively correlated with cod recruitment (Table 8, Table 9).

In interpretation of M4, the impact of the SSB on cod recruitment at the beginning of the review period was significant and then it notably decreased (Figure 9). Unlike M1 and M2, there is a remarkable positive trend observed in the parameter for the factor of the temperature that has been particularly notable since 2011. As if the model would be trying to describe the recruitment dynamics by swapping the impact of the temperature and SSB. The behaviour of the parameter for FLI is similar to the two previous models.

Year (Intercept) TW1 FLI3 SSB3 M4_1 R3 fact
2009 -416.3 33.3 1.37 0.62 560.2  
2010 -451.5 8.4 1.70 0.56 468.8 205.5
2011 -459.0 2.2 1.79 0.54 658.0 364.0
2012 -479.1 5.4 1.84 0.48 353.1 510.1
2013 -487.6 13.8 1.76 0.51 1232.0 471.2
2014 -367.5 19.4 1.59 0.35 915.1 854.9
2015 -378.9 37.7 1.56 0.23 718.5 452.5
2016 -359.7 42.1 1.57 0.14 566.4 285.8
2017 -401.5 49.6 1.56 0.17 561.0 770.9
2018 -394.2 47.4 1.57 0.16 477.7 492.3
2019 -404.6 54.3 1.53 0.16 665.3 635.4
2020 -402.8 56.4 1.51 0.15 482.9 541.0
2021 -425.9 59.3 1.54 0.15 413.0 386.7
2022 -480.7 63.3 1.61 0.15 583.2 197.4
Table 8. "True" cod recruitment values and parameter values of the regressive equation in M4 that change when the model is reset in the retrospective and are derived from this model for 1 year ahead.
Year TW1 FLI3 SSB3 M4_1 R3 fact
2009 4.64 362 581.8 560.2  
2010 4.69 307 647.9 468.8 205.5
2011 4.75 283 718.0 658.0 364.0
2012 4.37 317 1008.9 353.1 510.1
2013 5.36 111 1239.3 1232.0 471.2
2014 4.87 421 1798.1 915.1 854.9
2015 4.74 302 2016.1 718.5 452.5
2016 5.00 256 2239.0 566.4 285.8
2017 5.32 254 2123.6 561.0 770.9
2018 5.15 269 1714.2 477.7 492.3
2019 5.12 258 1370.5 665.3 635.4
2020 4.63 385 1395.7 482.9 541.0
2021 4.56 287 1258.2 413.0 386.7
2022 4.63 249 1198.6 583.2 197.4
Table 9. Values of the predictors/factors used in M4.

 

recruitment comparisons
Figure 9. Dynamics of the parameters’ values in the regression equation in M4 model, varying when the model is reset retrospectively (left) and the values of predictors/factors (right), presented in contrast to the “true” values and forecast-recruitment values derived from the model.

 

M5-M6 models

Models M5 and M6 practically repeat the M4 method, but the temperature factor is taken with lags of 2 and 3 years, respectively. This allows to increase the number of years for forecast by 2-3 years. Otherwise, both models are characterized almost completely similarly to the M4 model (Tables 10-13, Figs. 10-11).

Year (Intercept) TW2 FLI3 SSB3 M5_1 R3 fact
2009 -661.9 118.4 1.19 0.55 610.3  
2010 -698.5 83.7 1.60 0.50 503.6 205.5
2011 -709.9 74.3 1.72 0.48 669.6 364.0
2012 -706.1 71.0 1.79 0.42 326.3 510.1
2013 -655.4 66.2 1.69 0.46 1237.7 471.2
2014 -503.4 64.7 1.51 0.31 889.1 854.9
2015 -526.0 90.0 1.45 0.18 671.5 452.5
2016 -580.7 115.2 1.42 0.09 549.5 285.8
2017 -586.1 114.1 1.42 0.12 608.5 770.9
2018 -558.4 105.2 1.44 0.12 515.7 492.3
2019 -575.0 114.1 1.40 0.11 707.7 635.4
2020 -531.8 106.2 1.38 0.11 492.2 541.0
2021 -544.2 106.6 1.40 0.11 418.4 386.7
2022 -584.8 107.3 1.48 0.11 578.5 197.4
Table 10. "True" cod recruitment values and parameter values of the regressive equation in M5 that change when the model is reset in the retrospective and are derived from this model for 1 and 2 years ahead.
Year TW2 FLI3 SSB3 R3 M5_1 R3 fact
2010 4.64 307.0 647.9 205.5 610.3 205.5
2011 4.69 283.0 718.0 364.0 503.6 364.0
2012 4.75 317.0 1008.9 510.1 669.6 510.1
2013 4.37 111.0 1239.3 471.2 326.3 471.2
2014 5.36 421.0 1798.1 854.9 1237.7 854.9
2015 4.87 302.0 2016.1 452.5 889.1 452.5
2016 4.74 256.0 2239.0 285.8 671.5 285.8
2017 5.00 254.0 2123.6 770.9 549.5 770.9
2018 5.32 269.0 1714.2 492.3 608.5 492.3
2019 5.15 258.0 1370.5 635.4 515.7 635.4
2020 5.12 385.0 1395.7 541.0 707.7 541.0
2021 4.63 287.0 1258.2 386.7 492.2 386.7
2022 4.56 249.0 1198.6 197.4 418.4 197.4
Table 11. Values of the predictors/factors used in M5.

 

recruitment comparison
Figure 10. Dynamics of the parameters’ values in the regression equation in M5 model, varying when the model is reset retrospectively (left) and the values of predictors/factors (right), presented in contrast to the “true” values and forecast-recruitment values derived from the model.

 

Year (Intercept) TW3 FLI3 SSB3 M6_1
2009 -951.9 234.0 0.98 0.35 734.7
2010 -946.2 168.4 1.54 0.33 508.8
2011 -974.0 162.9 1.66 0.31 627.8
2012 -989.5 165.9 1.70 0.27 317.0
2013 -943.1 162.8 1.59 0.31 987.2
2014 -948.3 177.7 1.53 0.24 953.0
2015 -842.5 169.5 1.49 0.12 632.3
2016 -882.5 188.3 1.48 0.04 476.1
2017 -841.1 174.1 1.47 0.09 579.4
2018 -836.5 172.1 1.49 0.08 578.5
2019 -848.3 177.1 1.47 0.08 744.0
2020 -788.8 166.4 1.44 0.07 570.3
2021 -767.0 155.7 1.48 0.08 417.8
2022 -806.9 156.2 1.56 0.08 576.1
Table 12. "True" cod recruitment values and parameter values of the regressive equation in M6 that change when the model is reset in the retrospective and are derived from this model for 1-3 years ahead.
Year TW3 FLI3 SSB3 R3 fact M6_1
2010 4.94 307.0 647.9 205.5 734.7
2011 4.64 283.0 718.0 364.0 508.8
2012 4.69 317.0 1008.9 510.1 627.8
2013 4.75 111.0 1239.3 471.2 317.0
2014 4.37 421.0 1798.1 854.9 987.2
2015 5.36 302.0 2016.1 452.5 953.0
2016 4.87 256.0 2239.0 285.8 632.3
2017 4.74 254.0 2123.6 770.9 476.1
2018 5.00 269.0 1714.2 492.3 579.4
2019 5.32 258.0 1370.5 635.4 578.5
2020 5.15 385.0 1395.7 541.0 744.0
2021 5.12 287.0 1258.2 386.7 570.3
2022 4.63 249.0 1198.6 197.4 417.8
Table 13. Values of the predictors/factors used in M5.

 

recruitment comparison
Figure 11. Dynamics of the parameters’ values in the regression equation in M6 model, varying when the model is reset retrospectively (left) and the values of predictors/factors (right), presented in contrast to the “true” values and forecast-recruitment values derived from the model.

 

Regarding all five new models, they can be assessed as very unstable: parameter values can vary greatly and demonstrate clear trends in their dynamics. This instability is probably caused by the relatively short series of observations and correlations between certain predictors.

Comparison of models

The determination coefficients for most models were very low (Table 14). At its previous meetings, the Working Group used the average forecast-recruitment value for all observation series when a reliable model was unavailable. However, this approach is currently inappropriate, for the average recruitment has decreased significantly in recent years. Instead, we tried several scenarios of the persistence forecast (the latest recruitment or the average recruitment in recent years shall be considered as a forecast for future years) and compared them with the RCT3 forecast (Figure 12, Table 14).

 

recruitment comparison
Figure 12. The dynamics of “true” values (2023 JRN-AFWG assessment) of cod recruitment at age 3 in comparison with the values predicted using RCT3 for 1, 2 and 3 years ahead; “InerAll” – average value from the start of observations till the forecast year; “Iner1”, “Iner3” and “Iner4” – average recruitment for recent 1, 3 and 4 years, respectively, regarded as a forecast for 1-3 years ahead (The figure after the underscore shows the lead time of the forecast).

 

Model R2 with R3 RSS, thsnd Mohn`s Rho R2 with R3 RSS, thsnd Mohn`s Rho
  for 1 year ahead for 2 year s ahead
TES 0.22 473 0.33 0.20 409 0.27
TEL 0.16 462 0.23 0.06 458 0.23
InerAll 0.03 1487 0.91 0.02 1513 0.92
Iner4 0.38 1135 0.52 0.22 1262 0.59
Iner3 0.23 1145 0.50 0.30 1491 0.60
Iner1 0.00 935 0.27 0.17 1602 0.54
RCT3 0.48 444 0.24 0.01 1416 0.55
M1 0.00 755 0.37 0.01 549 0.24
M2 0.01 656 0.25 0.04 477 0.12
M4 0.24 859 0.48      
Table 14. Statistical measures of cod recruitment series projected by the below-listed models in comparison with “true” recruitment values (JRN-AFWG 2023). Statistic since 2010-2022 only!
Model R2 with R3 RSS, thsnd Mohn`s Rho R2 with R3 RSS, thsnd Mohn`s Rho
  for 3 years ahead for 4 years ahead
TEL 0.03 449 0.27 0.06 405 0.33
Iner4 0.01 1008 0.52 0.03 826 0.48
Iner3 0.11 1440 0.61      
RCT3 0.06 891 0.54      
Table 1 4 ( continued ) .

The figures highlighted above are suggested to be used at the annual JRN-AFWG meeting.

Possible candidates for R3 prediction in 2024 AFWG

Model R2 with R3 RSS, thsnd Mohn`s Rho R2 with R3 RSS, thsnd Mohn`s Rho
  for 1 year ahead for 2 year s ahead
Iner4 * 0.10 586 0.36 0.08 576 0.39
RCT3 * 0.51 453 0.34 0.12 1086 0.61
RCT3 +Eco NA          
M2 0.1 5 39 4 0.2 4 0.11 41 1 0.25
M5 * 0.32 768 0.59 0.21 1128 0.73
M6 * 0.19 731 0.59 0.10 949 0.69
Table 15. Statistical measures of cod recruitment series projected by the below-listed models in comparison with “true” recruitment values ( JRN-AFWG 2024 data used ). Statistic since 2014-2023 only!

* models statistic taken from period 2014-2023

Model R2 with R3 RSS, thsnd Mohn`s Rho R2 with R3 RSS, thsnd Mohn`s Rho
  for 3 years ahead for 4 years ahead
Iner4 * 0.04 450 0.37 0.14 419 0.38
RCT3 * 0.23 610 0.51      
M6 * 0.22 989 0.76      
Table 1 5 ( continued ) .

Further text needs editorial work

The models’ comparison using only determination coefficients is rather disputable. For example, Iner4 model (simple average for recent 4 years) demonstrates a relatively high consistency between the forecast for 1 year ahead and the data of observations, i.e. R 2 = 0.38 (see Table 14). However, this method shows high RSS values, i.e. the total forecast error is high. This model has also demonstrated one of the worst values of the Mohn`s Rho criterion which indicates a significant bias, particularly, an overestimation of the recruits’ number in the forecast in relation to “true” values. Moreover, in the medium term, a low forecast error (low RSS values) and no bias (low Mohn`s Rho values) are perhaps more important than more accurate descriptions of short-cycle variabilities (R 2 ). Therefore, a combination of all 3 criteria is appropriate when choosing the best forecast method.

From these considerations, TES and TEL models perform relatively well for forecasts with all options of lead times. Unfortunately, it is currently impossible to use them for the observation data is unavailable for 2023, and similar challenges are expected in the nearest future.

Model M4 demonstrates some potential to forecast recruitment for 1 year ahead, however R 2 is low and the error and bias’ values are high. The rest of the models in this group (M1, M2) show a low accuracy of the forecast. The persistence approach, when averaging for 3 and 4 years (Iner3, Iner4) has some potential, but as it was mentioned above, it shows a high error and forecast bias.

RCT3 model demonstrates the best recruitment dynamics for forecast for 1 year ahead. The average RSS forecast error is also minimal. However, this model has shown an overestimation of the recruitment abundance (bias = 0.24).

The results of persistence forecasting method are disputable. The use of different averaging periods shows that the highest coefficient of determination together with the observed recruitment has several averaged values over 4 years (Table 16). However, the values of RSS and Mohn`s Rho are rather high.

R 2 for data series of different lengths Averaging time, years
7 6 5 4 3 2 1
A ll time series since 1946 0.18 0.14 0.10 0.09 0.12 0.21 0.32
period 2010-2022 0.03 0.09 0.31 0.38 0.23 0.14 0.00
Table 16. – Coefficients of determination between the “true” recruitment values (JRN-AFWG 2023) and the recruitment values projected as running average values for different periods.

Conclusion

The use of Hybrid Model in its current configuration for future forecasts of cod recruitment abundance is impossible, because forecasts made by TES and TEL models are not possible unless the oxygen observation series are restored. Moreover, there were grave errors of these models in the forecasts in recent two years, and the reasons for those errors are still undefined.

The considered models M1-M6, which use water temperature, frontal zone area indices, the number of storms and the spawning stock biomass of cod as predictors, demonstrate unstable results and they should be used carefully.

The use of persistence forecast (averaged recruitment values for a series of years as forecast values) failed to show good results when averaging for the entire observation period, or high consistency when using the values for the last year as a forecast. Averaging for 4 years allows obtaining the best results among persistence forecasts.

For a forecast for1 year ahead, the best is RCT3 model.

For a forecast for 2 years ahead, the persistence method is suggested to be used: a running average of recruitment for recent 4 years.

For a forecast for 3 years ahead, RCT3 model or the persistence method is suggested to be used: a running average of recruitment for recent 4 years.

For a forecast for 4 years ahead, the persistence method is suggested to be used: a running average of recruitment for recent 4 years.

References:

Anon. 2013 ICES SGRF Report 2013 ICES Advisory Committee ICES CM 2013/ACOM: 24

Shepherd, J. G. 1997. Prediction of year-class strength by calibration regression analysis of multiple recruit index series. – ICES Journal of Marine Science, 54: 741–752.

Titov, O. Assessment of population recruitment abundance of Northeast Arctic cod considering the environment data //ICES AFWG 2021/WD: 21

Trofimov A.G., Yaragina N.A., Ivshin V.A., Kovalev Yu.A., Antsiferov M.Yu., Sentyabov E.V. Cod distribution in the Barents Sea under climate changes. Trudy VNIRO. 2023;192:68-84. (In Russ.)

Annex А .

Year Cod3t *10 6 (Final run) OxSatt-39 DOxSatt-13 ITwt-43 Icet-15 exp Icet-40 *10 6
1962 1252410 -0,19 -6,60 1,86 0,5 0,0
1963 903275 -0,94 -2,37 1,59 1,5 0,0
1964 469684 1,63 1,23 2,47 9,0 0,0
1965 873788 0,88 -0,20 3,91 15,7 0,0
1966 1843986 -1,09 -3,98 7,97 5,3 0,0
1967 1312965 -0,23 -2,84 8,23 5,0 9,3
1968 183253 1,50 -0,13 3,78 15,5 0,0
1969 110586 0,85 0,63 1,77 15,9 0,0
1970 206069 -0,17 -0,23 3,51 19,8 7,9
1971 403741 0,06 -0,12 -0,13 18,8 2,7
1972 1047824 -3,32 -6,59 14,55 -0,6 428,9
1973 1722535 -2,10 -10,37 19,14 1,8 768,6
1974 566462 1,06 -1,73 2,40 2,0 0,0
1975 608537 1,90 0,78 -2,64 -1,2 0,0
1976 605635 1,33 -1,28 -3,07 -1,9 0,0
1977 372244 -0,07 -1,84 -2,44 2,5 0,0
1978 623729 1,19 0,10 1,05 -1,0 0,0
1979 202654 0,50 -1,48 -0,12 3,5 0,0
1980 130651 -0,31 -2,72 1,98 12,9 0,0
1981 144579 0,76 -0,18 1,94 14,7 0,0
1982 183316 0,80 0,61 -3,15 8,0 0,1
1983 141734 0,78 0,22 1,87 12,2 8,5
1984 442510 -2,21 -2,35 -3,08 12,9 0,0
1985 532199 -0,10 -1,17 3,59 -1,2 0,1
1986 1366725 -2,14 -4,39 1,39 -8,5 2,9
1987 357345 -0,33 -1,69 2,12 0,6 0,0
1988 333545 0,87 -1,40 -2,34 3,8 0,0
1989 158308 0,32 -3,42 -5,17 10,5 0,0
1990 131572 1,11 -1,32 -4,21 10,5 0,0
1991 298762 0,88 0,70 2,42 6,5 0,0
1992 716299 1,34 0,48 1,37 -0,9 0,0
1993 988449 -1,98 -3,86 6,12 -0,6 0,0
1994 751986 -0,50 -2,26 8,25 -4,9 0,0
1995 538918 0,83 -2,42 4,36 1,8 0,0
1996 405634 0,86 -0,08 0,55 0,7 0,0
1997 781603 0,88 0,17 3,11 -7,3 0,0
1998 1056937 0,30 -6,08 -2,32 -2,5 0,0
1999 628182 -0,72 -2,40 -6,81 2,9 0,0
2000 747488 1,86 1,55 -2,29 13,6 0,0
2001 592230 0,62 0,05 -6,04 2,3 0,0
2002 375690 -0,88 -0,98 3,63 -9,9 0,8
2003 758556 -0,39 -0,64 8,50 -5,8 0,0
2004 243303 -2,20 -2,53 -4,62 -1,4 0,0
2005 697364 -1,65 -1,82 -1,45 4,9 0,0
2006 540024 -1,18 -1,65 -4,00 -6,0 0,0
2007 1263197 -1,39 -4,42 7,42 -12,3 0,0
2008 1021555 -1,14 -1,59 3,39 -18,0 0,0
2009 591759 0,79 -1,83 -1,61 -17,5 0,0
2010 205822 -0,38 -2,60 -8,94 -9,0 0,0
2011 364388 0,83 -0,07 -5,00 -4,3 0,0
2012 511945 0,91 -0,13 -5,05 -4,3 0,0
2013 476228 0,04 -0,09 1,44 -10,5 0,0
2014 864972 -0,46 -1,00 1,43 -17,8 0,0
2015 461254 -1,26 -1,62 -2,22 -10,5 0,0
2016 292950 -1,31 -1,92 -7,52 -5,8 0,0
2017 798494 -0,33 -0,64 -1,69 -14,4 0,0
2018 518825 -1,24 -1,41 0,10 -20,9 0,0
2019 677714 -0,63 -1,08 -1,71 -13,2 0,0
2020 580643 -2,02 -2,19 -6,35 -13,6 0,0
2021 419355 -0,80 -1,10 -1,33 -9,2 0,0
2022   -1,55 -2,10 -2,50 -12,7 0,0
2023   -1,52 -3,02 -4,18 -8,4 0,0
2024   -0,31   -5,57   0,0
20 25   0,36   -7,48   0,0
Table A1. TES and TEL models’ parameters of cod recruitment.
yearclass recruitment BST1 BST2 BST3 BSA1 BSA2 BSA3
1982 530 NA NA NA NA NA NA
1983 1370 NA NA NA NA NA NA
1984 357 NA NA NA NA NA NA
1985 334 NA NA NA NA NA NA
1986 159 NA NA NA NA NA NA
1987 132 NA NA NA NA NA NA
1988 299 NA NA NA NA NA NA
1989 714 NA NA NA NA NA NA
1990 989 NA NA NA NA NA NA
1991 750 NA NA 293.92 NA NA 323.88
1992 538 NA 556.68 282.84 NA 624.38 137.74
1993 402 1043.78 541.25 163.08 902.64 212.29 99.4
1994 777 5356.43 791.62 317.99 2175.25 271.71 158.57
1995 1048 5899.23 1422.92 355.1 1826.33 565.31 391.16
1996 627 5044.09 496.48 188.48 1698.49 475.15 147.62
1997 748 2490.54 350.21 245.81 2523.56 231.51 294.83
1998 591 473.04 242.33 182.79 364.84 262.81 177.44
1999 375 128.57 78.03 118.36 153.42 51.45 61.37
2000 757 712.77 418.73 376.7 363.55 209.1 306.71
2001 243 34.11 65.78 63.88 19.22 52.53 33.41
2002 694 3022.23 242.94 248.88 1505 117.19 125.03
2003 539 322.87 216.67 116.49 161.2 138.66 64.77
2004 1255 853.43 289.39 361.13 499.71 157.95 58.49
2005 1017 674.21 369.74 194.37 411.21 47.09 199.85
2006 591 594.69 101.96 126.28 85.13 94.2 107.83
2007 206 68.83 35.59 36.81 50.87 25.46 22.82
2008 364 389.48 95.14 85.4 204.9 43.56 40.36
2009 510 1027.59 225.81 75.72 620.25 91 82.79
2010 471 617.18 100.3 68.84 266 40.23 60.55
2011 855 702.97 142.96 226.85 496.49 89.17 286.89
2012 453 435.72 191.48 144.07 313.11 211.04 138.71
2013 286 1245.71 342.76 99.37 1758.58 211.41 56.29
2014 771 1642 305.57 179.25 1903.54 201.89 111.54
2015 492 312.16 128.92 139.41 240.8 73.3 109.03
2016 635 644.51 500.69 281.57 439.4 280.29 203.63
2017 541 2714.35 559.44 237.73 2057.6 362.38 117.32
2018 387 1790.57 273.82 111.5 1437.21 157.92 64.9
2019 197 164.75 34.87 51.98 92.68 28.5 29.4
2020 NA 80.88 65.64 41.21 45.9 43.4 28.661
2021 NA 667.82 163.06 NA 524.7 103.241 NA
2022 NA 305.403 NA NA 244.43 NA NA
               
Table A2. RCT3 model parameters of cod recruitment.
YEAR Cod3 TW3 FLI3 Storms3 TSB TSB1 SSB3 TW1
1984 443.366 3.033333 398 100 831.318 747.007 161.362 4.5425
1985 529.829 3.658333 469 103 1003 831.318 321.353 4.08
1986 1369.81 4.5425 476 108 1403.861 1003 311.52 3.6825
1987 357.271 4.08 455 99 1238.186 1403.861 243.628 3.649167
1988 334.096 3.6825 376 116 1008.624 1238.186 195.463 3.426667
1989 158.52 3.649167 434 93 956.866 1008.624 164.102 3.750833
1990 132.388 3.426667 278 75 912.593 956.866 115.111 4.441667
1991 298.599 3.750833 468 80 1348.024 912.593 191.558 4.565833
1992 714.479 4.441667 641 96 1690.944 1348.024 237.29 4.508333
1993 988.559 4.565833 569 89 2203.392 1690.944 303.044 4.556667
1994 749.508 4.508333 451 89 2116.329 2203.392 636.493 4.050833
1995 537.661 4.556667 375 93 1850.415 2116.329 804.452 3.840833
1996 402.269 4.050833 451 112 1695.858 1850.415 701.423 4.330833
1997 777.417 3.840833 496 90 1538.124 1695.858 570.797 3.751667
1998 1048.459 4.330833 508 92 1353.358 1538.124 533.335 3.550833
1999 626.609 3.751667 527 100 1202.556 1353.358 550.636 3.644167
2000 747.832 3.550833 458 88 1225.859 1202.556 545.65 4.231667
2001 591.465 3.644167 491 99 1479.452 1225.859 385.769 4.630833
2002 374.563 4.231667 557 104 1596.045 1479.452 280.6 4.483333
2003 757.474 4.630833 470 110 1682.972 1596.045 255.331 4.415
2004 242.78 4.483333 561 118 1568.986 1682.972 383.395 4.1475
2005 694.272 4.415 527 103 1518.705 1568.986 520.889 4.793333
2006 538.504 4.1475 481 153 1542.202 1518.705 571.223 4.816667
2007 1254.871 4.793333 515 110 1869.439 1542.202 665.197 5.081667
2008 1016.97 4.816667 438 122 2559.427 1869.439 578.178 4.943333
2009 590.98 5.081667 362 103 3100.56 2559.427 581.768 4.64
2010 205.517 4.943333 307 127 3342.036 3100.56 647.938 4.685
2011 363.991 4.64 283 117 3571.135 3342.036 718.024 4.754167
2012 510.052 4.685 317 118 3646.79 3571.135 1008.86 4.3675
2013 471.175 4.754167 111 106 3727.573 3646.79 1239.289 5.356667
2014 854.919 4.3675 421 100 3456.531 3727.573 1798.145 4.869167
2015 452.525 5.356667 302 118 3288.414 3456.531 2016.129 4.735833
2016 285.806 4.869167 256 143 2864.959 3288.414 2238.973 5.000833
2017 770.881 4.735833 254 135 2796.188 2864.959 2123.627 5.321791
2018 492.321 5.000833 269 150 2587.932 2796.188 1714.21 5.14622
2019 635.422 5.321791 258 146 2472.943 2587.932 1370.535 5.120753
2020 540.952 5.14622 385 157 2184.578 2472.943 1395.722 4.633893
2021 386.652 5.120753 287 161 1977.195 2184.578 1258.206 4.56115
2022 197.418 4.633893 249 142 1745.79 1977.195 1198.577 4.6281
2023 NA 4.56115 381 157 1609.757 1745.79 964.937 4.78
2024 NA 4.6281 292 172 1412.58 1609.757 835.773 4.99
2025 NA 4.78   155     711.549  
Table A3. М1, М2 and М4 models’ parameters of cod recruitment.