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.