Report series:
IMR-PINRO 2024-7Published: 21.06.2024Updated: 14.08.2024 Approved by:
Research Director(s):
Geir Huse
Program leader(s):
Maria Fossheim
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).
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.
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 ).
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.
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.
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 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.
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.
Bogstad, B. and Mehl, S. 1997. Interactions Between Cod ( Gadus morhua ) and Its Prey Species in the Barents Sea. Forage Fishes in Marine Ecosystems. Proceedings of the International Symposium on the Role of Forage Fishes in Marine Ecosystems. Alaska Sea Grant College Program Report No. 97-01: 591-615. University of Alaska Fairbanks.
Brander, K. 2002. Predicting weight at age. Internal ICES note to assessment working groups. 2003. Software implementation of process models. Working Document No. 2 to the Arctic Fisheries Working Group, San Sebastian, Spain, 23 April- 2 May 2003.
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.
Golovanov S.E., Sokolov A.M., and Yaragina, N.A. 2007. Revised indices of the Northeast Arctic cod abundance according to the 1982-2006 data from Russian trawl-acoustic survey (TAS). Working Document #3 for AFWG 2007.
ICES 2001. Report of the Arctic Fisheries Working Group. Bergen, Norway, 24 April – 3 May 2001. ICES CM 2001/ACFM:19. 380 pp.
ICES 2003. Study Group on Biological Reference Points for Northeast Arctic Cod. Svanhovd, Norway 13-17 January 2003. ICES CM 2003/ACFM:11.
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 2015. Report of the first Workshop on Management Plan Evaluation on Northeast Arctic cod and haddock and Barents Sea capelin ( WKNEAMP-1) , Dates , . 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. 2021. Benchmark Workshop for Barents Sea and Faroese Stocks (WKBARFAR 2021). ICES Scientific Reports. 3:21. 205 pp. https://doi.org/10.17895/ices.pub.7920
ICES. 2024. Arctic Fisheries Working Group (AFWG). ICES Scientific Reports. 6:xx, xx pp.
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.
Korsbrekke, K. 1997. Norwegian acoustic survey of Northeast Arctic cod on the spawning grounds off Lofoten. ICES C.M 1997/Y:18.
Korsbrekke, K. 2024. Acoustic survey targeting spawning NEA cod north of Vesterålsbankene 2023 (In Norwegian). https://www.hi.no/hi/nettrapporter/toktrapport-2024-1.
Kovalev, Y., Prozorkevich, D., and Chetyrkin, A. 2017. Estimation of Ecosystem survey 2016 index in situation of not full area coverage. Working Document No. 12 to the Arctic Fisheries Working Group, Copenhagen, 18-25 April 2017.
Kovalev, Y., and Chetyrkin, A. 2019. What does NEA cod want for prediction - Fsq or TAC constrain? Working Document No. 11 to the Arctic Fisheries Working Group. ICES. 2019. Arctic Fisheries Working Group (AFWG). ICES Scientific Reports. 1:30. 934 pp.
Kovalev, Y., and Chetyrkin, A. 2024. Analysis of the NEA Cod recruitment prediction quality. WD6, AFWG 2024.
Mehl, S., and Yaragina, N. A. 1992. Methods and results in the joint PINRO-IMR stomach sampling program. In: Bogstad, B. and Tjelmeland, S. (eds.), Interrelations between fish populations in the Barents Sea. Proceedings of the fifth PINRO-IMR Symposium. Murmansk, 12–16 August 1991. Institute of Marine Research, Bergen, Norway, 5–15.
Nedreaas, K. H. and Otterå, H. 2024. Effort and catch-per-unit-effort (CPUE) for Norwegian trawlers fishing cod north of 67˚N in 2011-2023. WD 02, 2024.
Sokolov A., Russkikh A., Kharlin S., Kovalev Yu. A., and Yaragina N.A. 2018. Results of the Russian trawl-acoustic survey on cod and haddock in the Barents Sea and adjacent waters in October-December 2017. Working Document no. 11. ICES Arctic Fisheries Working Group, ICES CM 2018/ACOM:06.
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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 10/2023.
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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 NEACcod-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.
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.
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
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
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).
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
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)
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 1984-2023
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
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)
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.
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.
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.
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+.
Recruitment-at-age 2
Spawning-stock biomass
Fishing mortality – year component
Fleet selectivity – age component
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.
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. 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).
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 2025 relative to the advice value for 2024 (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 2026 relative to the advice value for 2024 (15 560 tonnes).
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).
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).
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.
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.
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.
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 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.
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)
TWy-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.
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.
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.
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.
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).
Model
R2with R3
RSS, thsnd
Mohn`s Rho
R2 with R3
RSS, thsnd
Mohn`s Rho
for 1year ahead
for 2 years 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
R2with 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
R2with R3
RSS, thsnd
Mohn`s Rho
R2 with R3
RSS, thsnd
Mohn`s Rho
for 1year ahead
for 2 years 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
R2with 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.
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.