Antarctic Toothfish, *Dissostichus mawsoni* Norman, 1937.

Antarctic Toothfish, Dissostichus mawsoni Norman, 1937.



Map of the management areas within the CAMLR Convention Area. Subarea 48.6, the region discussed in this report is shaded in green. Throughout this report, “2022” refers to the 2021/22 CCAMLR fishing season (from 1 December 2021 to 30 November 2022).

Map of the management areas within the CAMLR Convention Area. Subarea 48.6, the region discussed in this report is shaded in green. Throughout this report, “2022” refers to the 2021/22 CCAMLR fishing season (from 1 December 2021 to 30 November 2022).


1. Introduction to the fishery

1.1. History

This report describes the exploratory longline fishery for Antarctic toothfish (Dissostichus mawsoni) in Subarea 48.6. This fishery began as a new fishery in 1997 (Conservation Measure 114/XV). Following the Commission’s decision that high levels of illegal, unreported and unregulated (IUU) fishing for Dissostichus spp. in the Convention Area had rendered it unrealistic to consider this fishery as ‘new’ (CCAMLR-XVIII, paragraph 10.14), the fishery was reclassified as exploratory in 1999. Prior to 2017, this fishery was an exploratory fishery for Dissostichus spp., however, in order to better align the target species with the predominant species in this Subarea the target species was specified as D. mawsoni, with any Patagonian toothfish (D. eleginoides) caught counting towards the catch limit for D. mawsoni. For details on the development and management of this fishery, please refer to section 5.


1.2. Conservation Measures currently in force

The current limits on the exploratory fishery for D. mawsoni in Subarea 48.6 are described in Conservation Measure 41-04. From 2008 to 2013, the precautionary catch limit for Dissostichus spp. was set at 400 tonnes; 200 tonnes north of 60\(^{\circ}\)S (Small-Scale Research Units (SSRUs) A and G) and 200 tonnes south of 60\(^{\circ}\)S (SSRUs B-F). In 2014, the catch limit was revised to 538 tonnes and applied to a suite of research blocks (see Fig. 1). The target species was revised to D. mawsoni in 2017.

Figure 1: Location of Small Scale Research Units and Research Blocks in Subarea 48.6. The fishable depth range (600m-1800m) is highlighted in shades of green.

Figure 1: Location of Small Scale Research Units and Research Blocks in Subarea 48.6. The fishable depth range (600m-1800m) is highlighted in shades of green.


1.3. Active vessels

In 2022, 2 vessels participated in this fishery. For the 2023 fishing season, a total of 3 vessels notified their intention to participate in this fishery (1 from Japan; 1 from South Africa; 1 from Spain).


1.4. Timeline of spatial management

In 2014, five research blocks were designated in Subarea 48.6 with catch limits applied to each research block. These research blocks were designed to ensure that research fishing occurred in those areas with the highest probability of recapturing tagged fish; fishing in this Subarea is restricted to the research blocks only.

In 2015, the Scientific Committee agreed that the boundaries of research block 486_4 should be revised to include the proposed extension along the continental shelf and exclude the area of Astrid Ridge north of latitude 68\(^{\circ}\) 20\('\) S (SC-CAMLR-XXXIV, paragraphs 3.236 to 3.240). The location of research blocks in this subarea is shown in Figure 1.

In 2016 Research Block 486_1 was removed from the research fishing in 48.6 (SC-CAMLR-XXXV paragraph 2.7 (i)).



2. Reported catch

2.1. Latest reports and limits

Reported catches of Dissostichus spp. in Subarea 48.6 are shown in Table 1. In this fishery, the catch of D. mawsoni reached a maximum of 517 tonnes in 2018. In 2022, 4 tonnes of D. eleginoides and 481 tonnes of D. mawsoni were caught.

The catches reported in Subarea 48.6 include catch data that CCAMLR has agreed should be quarantined as there is no confidence in the amount and/or the location of those catches (SC-CAMLR-XXXIII, paragraph 3.68). All ancillary data associated with these vessels (e.g., by-catch, tagging, observer data) are also quarantined and are not included in the data presented in this report.


Table 1. Catch (tonnes) and effort history for Dissostichus spp. in this fishery. Source: Fine scale data and past estimates for IUU catch (-: no IUU estimate available; q: catch data currently quarantined).
Season Number of vessels Catch limit (tonnes) D. eleginoides D. mawsoni Estimated IUU catch (tonnes)
2004 1 910 7 0
2005 2 910 47 2
2006 1 910 100 63
2007 3 910 78 34
2008 1 400 12 11
2009 2 400 17 93 (q: 173)
2010 3 400 50 243 (q: 100)
2011 4 400 31 (q: 1) 317 (q: 42)
2012 2 400 6 375
2013 2 400 15 275
2014 2 538 9 145
2015 2 538 1 188
2016 2 538 9 232
2017 2 510 2 435
2018 2 557 6 517
2019 2 625 6 376
2020 3 670 4 333
2021 2 568 5 351
2022 2 576 4 481


The catch limits by research block are indicated in Table 2 as defined in Conservation Measure 41-04. The catches of D. mawsoni by research block are indicated in Table 2.


Table 2: Catch and catch limits by Research Block in 2022 for Dissostichus mawsoni in Subarea 48.6. Source: Fine scale data.
Research Block Catch limit Catch (% of catch limit)
486_2 134 125 (93.3%)
486_3 36 37 (102.8%)
486_4 196 108 (55.1%)
486_5 210 194 (92.4%)



2.2. By-catch

Catch limits for by-catch species groups (Macrourus spp., skates and rays, and other species) are defined at the scale of Research Blocks in Conservation Measure 33-03 and shown at the Subarea scale for each fishing season in Table 3.

If the by-catch of any one species is equal to, or greater than, 1 tonne in any one haul or set, then the fishing vessel must move at least 5 nautical miles away for a period of at least five days (Conservation Measure 33-03).

If the catch of Macrourus spp. taken by a single vessel in any two 10-day periods in a single area to which a catch limit applies exceeds 1,500 kg in a 10-day period and exceeds 16% of the catch of Dissostichus spp. in that period, the vessel shall cease fishing in that SSRU for the remainder of the fishing season (Conservation Measure 33-03).

The by-catch in Subarea 48.6 consists predominantly of Macrourus spp (Table 3).


Table 3. Reported catch and catch limits for by-catch species (Macrourus spp., skates and rays, and others) in this fishery (see Conservation Measure 33-03 for details). q: by-catch data currently quarantined. Source: fine-scale data.
Macrourus spp.
Skates and rays
Other catch
Season Catch Limit (tonnes) Reported Catch (tonnes) Catch Limit (tonnes) Reported Catch (tonnes) Number Released Catch Limit (tonnes) Reported Catch (tonnes)
2004 146 <1 100 0 0 120 0
2005 146 6 100 <1 0 120 <1
2006 146 10 100 0 0 120 3
2007 146 13 100 <1 0 120 2
2008 62 1 100 0 0 140 <1
2009 64 4 q 100 <1 q 0 q 140 2 q
2010 64 10 q 100 0 0 140 <1 q
2011 64 8 q 100 0 0 140 1 q
2012 64 6 100 <1 2 140 <1
2013 64 18 100 0 0 140 2
2014 86 2 100 0 0 120 <1
2015 86 5 100 0 0 120 1
2016 86 10 100 0 0 120 1
2017 81 8 27 0 0 81 1
2018 88 15 27 <1 12 88 3
2019 100 6 31 <1 44 100 1
2020 107 10 33 <1 22 107 2
2021 91 11 29 <1 75 91 3
2022 92 11 29 <1 64 92 5


2.3. Vulnerable marine ecosystems (VMEs)

All Members are required to submit, within their general new (Conservation Measure 21-01) and exploratory (Conservation Measure 21-02) fisheries notifications requirements, information on the known and anticipated impacts of their gear on vulnerable marine ecosystems (VMEs), including benthic communities and benthos such as seamounts, hydrothermal vents and cold-water corals. All of the VMEs in CCAMLR’s VME Registry are currently afforded protection through specific area closures.

There are no VMEs or VME Risk Areas designated in Subarea 48.6.


2.4. Incidental mortality of seabirds and marine mammals

The requirements of Conservation Measure 25-02, including the ‘Minimisation of the incidental mortality of seabirds in the course of longline fishing or longline fishing research in the Convention Area’ apply to this fishery.

The risk level for birds in this fishery in Subarea 48.6 is category 1 (low) south of 55\(^{\circ}\)S, and category 2 (average to low) north of 55\(^{\circ}\)S (SC-CAMLR-XXX, Annex 8, paragraph 8.1).

There have been no observed seabird mortality reported by vessels in Subarea 48.6 in this fishery.

There have been no observed mammal mortality reported by vessels in Subarea 48.6 in this fishery.



3. Illegal, Unreported and Unregulated (IUU) fishing

IUU fishing activity was not recorded in Subarea 48.6 between 2006 and 2012, however, IUU gear was first reported in 2013 (CCAMLR-XXXII/BG/09). The first reported vessel sighting in Subarea 48.6 was in 2014 of the IUU-listed vessel Viking. There is compelling evidence of IUU activity in Subarea 48.6 (specifically around Maud Rise and Astrid Ridge) with vessel sightings and vessel detection as well as recovery of gillnet reported annually from 2013 to 2016.



4. Data collection

4.1. Data collection requirements

Daily catch and effort reporting (total catch and number of hooks set and retrieved in the last 24 hours) is required in this fishery according to Conservation Measure 23-07. Haul by haul data, submitted in accordance with Conservation Measure 23-04, includes the time, location and catch of all species (by weight and number of individuals). The collection of biological data as part of the CCAMLR Scheme of International Scientific Observation (SISO) includes representative samples of length, weight, sex and maturity stage, as well as collection of otoliths for age determination of the target and, on a voluntary basis, for the most frequently taken by-catch species.


4.2. Summary of available data

Both the vessel’s crew and observers collect fishing effort, catch, and by-catch information.

Following Conservation Measure 22-07, vessels participating in this fishery must report the occurrence of VME indicator organisms on hauled lines. To do so, the vessel’s crew observe lines in segments (1000-hook sections or 1200m sections, whichever is the shorter) and report the number of VME indicator units (either one litre of those VME indicator organisms that can be placed in a 10-litre container, or one kilogram of those VME indicator organisms that do not fit into a 10-litre container). Depending on the number of VME indicator units landed, vessels must immediately report and potentially cease fishing in the area (termed a Risk Area) until further review of the data is completed (see Conservation Measure 22-07). Based on the portion of the line monitored, observers further identify VME indicator organisms to the lowest taxonomic level possible.

The vessel’s crew report total catch of non-VME by-catch (mostly fishes) by coarse taxonomic groups given the taxonomic expertise required to discriminate similar species. Observers collect biological information on toothfish and by-catch specimens at a finer taxonomic resolution, as well as data on individual specimens such as size and maturity.

Summaries of data reported to CCAMLR for the past five years are given in Tables 4 and 5.

Table 4. Summary of VME indicator taxa by-catch, by-catch of other species and biological data reported by vessels crew and observers in each of the last five seasons. By-catch records correspond to the number of observations of total weight and count of individuals for each taxon identified. Observers may take further biological measurements on toothfish and by-catch taxa. Taxonomic identification may occur at different levels.
Data source Data class Variable 2018 2019 2020 2021 2022
Vessel crew VME line segments 3307 2495 2901 2301 2613
VME indicator units > 5 and < 10 0 0 0 0 0
VME indicator units > 10 0 0 0 0 0
by-catch taxa identified 16 18 10 8 13
records 887 519 707 724 821
Observer VME line segments 1221 926 1081 972 988
taxa identified 12 17 16 11 13
weight or volume measurements 61 126 242 69 136
toothfish specimens examined 9465 6700 7172 6909 8307
length measurements 9465 6700 7172 6909 8307
weight measurements 9454 6700 7172 6845 8307
sex identifications 9422 6679 7172 6896 8304
maturity stage identifications 9433 6690 7170 6907 8293
gonad weight measurements 8791 5173 5397 3132 7521
otolith samples 3948 4750 3416 3171 3688
by-catch specimens examined 5484 4072 5139 4337 9319
taxa identified 21 11 10 11 9
length measurements 3603 2100 1221 2168 6469
weight measurements** 5483 4063 5135 4237 9248
standard length measurements* 0 98 0 5 30
wingspan measurements* 3 2 0 0 1
pelvic length measurements* 3 2 0 0 0
snout to anus measurements* 3285 3247 3910 2893 6601
sex identifications** 5 3694 3383 3954 7805
maturity stage identifications** 2 3688 1938 1065 3750
gonad weight measurements** 0 3490 2394 911 3725
otolith samples** 3 326 2 137 0
**: Voluntary records
*: Species-dependent records
Table 5. Summary of biological data for predominant by-catch groups reported by observers (from random subsets of lines) in each of the last five seasons. Taxonomic identification may occur at different levels.
By-catch group Variable 2018 2019 2020 2021 2022
Macrourus spp. specimens examined 3262 3381 3915 2883 6650
taxa identified 5 5 3 5 3
length measurements 1451 1416 0 724 3800
weight measurements** 3262 3372 3912 2845 6620
snout to anus measurements* 3262 3247 3910 2883 6601
sex identifications** 0 3327 3373 2830 6636
maturity stage identifications** 0 3318 1930 896 3750
gonad weight measurements** 0 3129 2388 815 3674
otolith samples** 3 324 0 133 0
Skates and rays specimens examined 3 2 0 0 0
taxa identified 2 1 0 0 0
length measurements 3 2 0 0 0
weight measurements** 3 2 0 0 0
wingspan measurements* 3 2 0 0 0
pelvic length measurements* 3 2 0 0 0
sex identifications** 3 2 0 0 0
maturity stage identifications** 0 2 0 0 0
gonad weight measurements** 0 2 0 0 0
Other fish specimens examined 2157 689 1224 1454 2669
taxa identified 5 5 7 6 6
length measurements 2147 682 1221 1444 2669
weight measurements** 2156 689 1223 1392 2628
standard length measurements* 0 0 0 5 0
sex identifications** 2 365 10 1124 1169
maturity stage identifications** 2 368 8 169 0
gonad weight measurements** 0 359 6 96 51
otolith samples** 0 2 2 4 0
**: Voluntary records
*: Species-dependent records


The counts of by-catch taxa reported above (Table 5) correspond to specimens that have been individually sampled by observers. These are a subset of all the specimens counted by observers and are generally identified at a more precise taxonomic level. The figures below (Figs. 2 and 3) display the distribution of the most frequently examined by-catch taxa in time and space. It is important to note that observers sample a random subset of lines and do not individually examine all taxa; as such these figures are more representative of the distribution of biological observations than the catch of these taxa or their spatial distribution. At a coarse taxonomic level, the total catch of by-catch species groups is provided in section 2.2 above.

Figure 2. Relative frequencies of the most commonly examined by-catch taxa in each of the last five seasons, from the observer data (unweighted raw counts of individually examined specimens). Taxonomic identification may occur at different levels.

Figure 2. Relative frequencies of the most commonly examined by-catch taxa in each of the last five seasons, from the observer data (unweighted raw counts of individually examined specimens). Taxonomic identification may occur at different levels.


Figure 3. Spatial distribution of the most commonly examined by-catch taxa across the last five seasons, from the observer data (unweighted raw counts of individually examined specimens in each cell). The data were aggregated using equal area (100 km x 100 km) cells. Taxonomic identification may occur at different levels. Refer to Figure 1 for more details on the boundaries shown.

Figure 3. Spatial distribution of the most commonly examined by-catch taxa across the last five seasons, from the observer data (unweighted raw counts of individually examined specimens in each cell). The data were aggregated using equal area (100 km x 100 km) cells. Taxonomic identification may occur at different levels. Refer to Figure 1 for more details on the boundaries shown.


4.3. Length frequency distributions

The length frequency distributions of the catches of D. mawsoni and D. eleginoides for the ten most recent seasons across the entire Subarea and in each Research Block are presented in Figures 4 and 5 and indicate a consistent difference in modal size between the two species. These length frequency distributions are unweighted; they have not been adjusted for factors such as the size of the catches from which they were collected. The interannual variability exhibited in the figure may reflect changes in the fished population but is also likely to reflect changes in the gear used, the number of vessels in the fishery and the spatial and temporal distributions of fishing.

The majority of D. mawsoni caught in the Subarea 48.6 fishery ranged from 120 to 180 cm in total length (TL), with a relatively consistent mode at approximately 150 cm (Fig. 4). Younger individuals may be caught in the Southern research blocks (486_4 and 486_5).

Dissostichus eleginoides exhibits broader length distributions with the majority ranging from 60 to 150 cm in TL (Fig. 5).


Figure 4. Annual length frequency distributions of *Dissostichus mawsoni* caught in Subarea 48.6 (top panel) and in each Research Block (lower panels). The number of hauls from which fish were measured (N) and the number of fish measured (n) in each year are indicated. Note: length frequency distributions are only shown where more than 150 fish were measured in a given season/area.

Figure 4. Annual length frequency distributions of Dissostichus mawsoni caught in Subarea 48.6 (top panel) and in each Research Block (lower panels). The number of hauls from which fish were measured (N) and the number of fish measured (n) in each year are indicated. Note: length frequency distributions are only shown where more than 150 fish were measured in a given season/area.



Figure 5. Annual length frequency distributions of *D. eleginoides* caught in Subarea 48.6 (mostly in research block 2). The number of hauls from which fish were measured (N) and the number of fish measured (n) in each year are indicated. Note: length frequency distributions are only shown where more than 150 fish were measured in a given season.

Figure 5. Annual length frequency distributions of D. eleginoides caught in Subarea 48.6 (mostly in research block 2). The number of hauls from which fish were measured (N) and the number of fish measured (n) in each year are indicated. Note: length frequency distributions are only shown where more than 150 fish were measured in a given season.


4.4. Tagging

Since 2012, vessels have been required to tag and release Dissostichus spp. at a rate of 5 fish per tonne of total catch (Table 6). The tag-overlap statistic estimates the similarity between the size distributions of the fish that are tagged and those that are caught by a vessel. Each vessel catching more than 10 tonnes of each species of Dissostichus is required to achieve a minimum tag-overlap statistic of 60% (Conservation Measure 41-01 Annex C).

Table 6. Annual tagging rate (number of fish tagged per tonne of total catch), reported by vessels operating in this exploratory fishery. The tag-overlap statistics (CM 41-01) for D. mawsoni and D. eleginoides respectively are provided in brackets (NC: Tag-overlap statistic is Not Calculated for less than 30 fish tagged; -: no fish were tagged). In the last row, the tagging rate and tag-overlap statistic were computed using all fish tagged and all fish caught in the area.
Fishing Season
Flag State Vessel name 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Spain Tronio 5 (80,NC) 5 (76.1,NC) 5.1 (74.7,NC) 5 (74.2,NC)
Japan Shinsei Maru No. 3 3.1 (68.8,40.8) 3 (93.7,NC) 5.1 (82.8,NC) 5.6 (74.8,77.7) 5.2 (81.9,70.8) 6.1 (83.1,NC) 5.5 (84.8,62.1) 5.2 (74.7,NC) 5.2 (78.8,NC) 5.3 (76.7,74.3) 5.1 (81.1,-)
Japan Shinsei Maru No. 8 5.2 (81,76.8) 5.2 (83.1,NC)
Republic of Korea Hong Jin No. 701 4 (95,84.5)
Republic of Korea Insung No. 1 3.2 (NC,32.1)
South Africa Koryo Maru No. 11 3.3 (NC,84.7) 5.2 (62.7,65.7) 5.7 (59.6,70.7) 4.9 (80.9,NC) 5.4 (86.8,NC) 5.2 (72.4,NC) 5.2 (82.4,NC) 5.2 (76.7,NC) 5.1 (63.1,NC)
Total 3.1 (69.4,32.8) 3.4 (90.3,91.3) 5.1 (77.8,66) 5.6 (72,74.7) 5.2 (81.5,70) 6 (84.9,NC) 5.4 (80,65.3) 5.2 (77.1,NC) 5.2 (78.9,NC) 5.2 (79,75.7) 5.1 (76.1,NC) 5.1 (78.6,76.2) 5.1 (79.4,83.3)


To date in this area, 22157 D. mawsoni have been tagged and released (640 have been recaptured; Table 7), and, 1468 D. eleginoides have been tagged and released (33 have been recaptured; Table 8).


Table 7. Number of D. mawsoni tagged in recent fishing Seasons. The number of fish recaptured by each vessel in each Season is provided in brackets.
Fishing Season
Flag State Vessel name 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Spain Tronio 914 (64) 696 (44) 845 (42) 1518 (107)
Japan Shinsei Maru No. 3 560 (1) 594 (1) 1225 (14) 969 (10) 692 (13) 923 (13) 731 (25) 1684 (34) 1821 (56) 1021 (52) 577 (15)
Japan Shinsei Maru No. 8 939 (20) 928 (18)
Republic of Korea Hong Jin No. 701 441 (0)
Republic of Korea Insung No. 1 0 (2)
South Africa Koryo Maru No. 11 10 (0) 651 (19) 442 (5) 57 (4) 190 (4) 503 (15) 577 (26) 886 (28) 425 (6)
Total 560 (3) 1045 (1) 1876 (33) 1411 (15) 749 (17) 1113 (17) 1234 (40) 2261 (60) 2707 (84) 1935 (116) 1698 (65) 1784 (62) 2446 (125)


Table 8. Number of D. eleginoides tagged in recent fishing Seasons. The number of fish recaptured by each vessel in each Season is provided in brackets.
Fishing Season
Flag State Vessel name 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Spain Tronio 1 (0) 21 (2) 1 (0) 2 (0)
Japan Shinsei Maru No. 3 38 (4) 0 (0) 14 (0) 130 (2) 55 (2) 0 (0) 47 (2) 7 (1) 14 (0) 45 (1) 0 (0)
Japan Shinsei Maru No. 8 36 (0) 29 (0)
Republic of Korea Hong Jin No. 701 52 (1)
Republic of Korea Insung No. 1 310 (3)
South Africa Koryo Maru No. 11 79 (0) 57 (1) 94 (6) 1 (0) 11 (0) 14 (2) 1 (0) 2 (1) 1 (0)
Total 348 (7) 131 (1) 71 (1) 224 (8) 56 (2) 11 (0) 61 (4) 8 (1) 16 (1) 46 (1) 22 (2) 37 (0) 31 (0)



5. Research

5.1. Status of the science

Catch limits for CCAMLR’s fisheries for D. mawsoni and D. eleginoides for the ‘assessed’ fisheries in Subareas 48.3, 88.1 and 88.2 and Division 58.5.2 are set using fully integrated stock assessments; more basic approaches are used for the ‘data-limited’ fisheries (in Subarea 48.6 and in Area 58 outside the exclusive economic zones (EEZs)). The management of data-limited fisheries has been a major focus of attention in CCAMLR in recent years after the acknowledgement that commercial fishing and routine observer data collection had resulted in too few data to develop a full assessment of the targeted stocks in these areas. CCAMLR has developed a framework for designing and undertaking research fishing designed to lead to an assessment of these toothfish stocks in the short to medium term, established under the provisions of Conservation Measure 41-01. This research planning framework has three phases: a prospecting phase, a biomass estimation phase and an assessment development phase, with a set of decisions and reviews for the progression between stages.

In order to obtain the data necessary for a stock assessment, catch limits for research fishing by commercial vessels are set at a level intended to provide sufficient information (including sufficient recaptures of tagged fish) to achieve a stock assessment within a time period of 3 to 5 years. These catch limits are also set so that they provide reasonable certainty that exploitation rates at the scale of the stock or research unit will not negatively impact the stock. Appropriate exploitation rates are based on estimates from areas with assessed fisheries and are not more than 3-4% of the estimated stock size in the fished area. A collaborative research program has been undertaken by Japan and South Africa since 2013 to enhance data collection and analysis in this subarea.

In 2019, WG-FSA-2019/05 examined movements of tagged Antarctic toothfish (Dissostichus mawsoni) for subarea 48.6 in relation to life history hypotheses. Most long-distance movements occurred in a westward direction along the continental shelf, which may be consistent with the single Atlantic population hypothesis.

In 2021, Japan, Spain and South Africa presented the final report of the multi-member longline survey, outlining their fishing activities, collected data, and progress and achievements of objectives (WG-FSA-2021/50). In addition, Japan presented their progress towards and integrated CASAL stock assessment (WG-FSA-2021/49) and spatial modelling of by-catch (WG-FSA-2021/48).

In 2022, a genomic study conducted in collaboration between UK and Spain scientists indicated that the D. mawsoni stock in Subarea 48.6 was likely panmictic (WG-FSA-2022/16), and an otolith chemistry study conducted in collaboration between China, Japan, Spain and South Africa scientists confirmed that fish moved frequently between research blocks (WG-FSA-2022/36). Japan, Spain and South Africa further reported on research fishing operations since 2013 (WG-FSA-2022/24 Rev. 1), as well as since the research plan continuation was endorsed (WG-SAM-2022/02). Japan in collaboration with New Zealand reported on progress towards modelling of grenadier relative abundance (WG-FSA-2022/33), and, Japan reported on progress towards a two-area population model for stock assessment using CASAL (WG-FSA-2022/23).


5.2. Research plans

5.2.1. Background



Due to a lack of suitable data, robust stock assessment models able to yield advice on catch limits in accordance with CCAMLR decision rules have not yet been developed for the fisheries in Subarea 48.6 and Divisions 58.4.1, 58.4.2 and 58.4.3a. SC-CAMLR-XXX (paragraph 3.127) concluded that the research plans developed in line with Conservation Measure 41-01, Annex 41-01/B, were unlikely to lead to assessments in these fisheries in the next 3-5 years, and designated them as data-limited exploratory fisheries (SC-CAMLR-XXX, paragraph 3.122). To rectify this situation, the Scientific Committee recommended a number of changes to Conservation Measure 41-01 (SC-CAMLR-XXX, paragraphs 3.128 to 3.133), most notably the requirement for Members to submit multi-year research plans that aim at collecting sufficient data to develop robust assessment models within a 3 to 5 year period.

Both Japan (WG-FSA-12/60 Rev. 1) and South Africa (WG-FSA-12/30 and 12/31) responded by submitting proposals to WG-FSA-12 to undertake research in Subarea 48.6. The Working Group developed a joint research plan for Subarea 48.6 drawing from both of the proposals. The goal of the research plan was to generate sufficient data to undertake a tag-based assessment of the Dissostichus spp. stocks in Subarea 48.6 by 2018. To maximise the probability of recapturing tagged fish, research was limited to four research blocks (Fig. 1) and a maximum sample size of 200 tonnes of Dissostichus spp. north of 60\(^{\circ}\)S and 200 tonnes south of 60\(^{\circ}\)S (41-04, 2012). In addition, Japan and South Africa voluntarily imposed species-specific limits for each research block based on estimates of stock size per research block given in the research plan proposed by Japan (WG-FSA-12/60 Rev. 1). Japan and South Africa commenced implementing the research plan in December 2012.

Following discussions in 2013 in response to revised estimates of abundance per research block and calculations undertaken during the 2013 meeting of the Working Group on Statistics, Assessments and Modelling (WG-SAM-13) and to operational difficulties experienced by Japan and South Africa, the research plan for 2014 was revised (CM 41-04, 2013) by setting species-specific limits for each research block and by including a fifth research block.

During 2013, the limit set for Patagonian toothfish (Dissostichus eleginoides) for research block 486_2 was very low leading to operational difficulties. As a result, the majority of D. eleginoides caught were tagged and released. To resolve the problem, a limit was placed on D. eleginoides for research blocks 486_1 and 486_2 combined. It was recommended that the vessels access research block 486_1 only after completing sampling of Antarctic toothfish (Dissostichus mawsoni) in research block 486_2 and then only if the D. eleginoides limit had not been reached. Research fishing activities and observer data collection are now focused on D. mawsoni, as reflected in Table 2.

In 2021, following comments and suggestions from WG-SAM-2021, Japan, South Africa and Spain presented a revised proposal for continuing their multi-Member research (WG-FSA-2021/38), which was endorsed by the Commission (CCAMLR-40, paragraph 6.40).

5.2.2. Objectives



Objective 1: Providing an assessment of the stock status including size/age structure of D. mawsoni.

Objective 2: Investigating ecological traits of D. mawsoni.

Objective 3: Improving the knowledge about Antarctic marine ecosystems.


5.3. Advice by the Scientific Committee

Research plans for subarea 48.6 were adopted by the Scientific Committee in 2013 (SC-CAMLR-XXXI, paragraph 3.137), 2014 (SC-CAMLR-XXXII, paragraphs 3.192, 3.195 and 3.196), 2016 (SC-CAMLR-XXXIII, paragraphs 3.187 and 3.188), 2019 (SC-CAMLR-38, paragraphs 3.97 to 3.101) and 2021 (SC-CAMLR-40, paragraph 3.99).



6. Stock status

6.1. Summary of current status

As a data-limited fishery, this fishery does not yet have such estimates. Notable efforts are ongoing (WG-FSA-2022/23).


6.2. Assessment method

Stock biomass and catch limits in data-limited fisheries are estimated using the trend analysis.


6.3. Year of last assessment, year of next assessment

Research plans for data-limited fisheries are reviewed annually.


7. Climate Change and environmental variability

In 2018, a summary of the potential impacts of climate change on Southern Ocean fisheries (FAO 2018) highlighted the following key points:

The Antarctic region is characterized by complex interaction of natural climate variability and anthropogenic climate change that produce high levels of variability in both physical and biological systems, including impacts on key fishery taxa such as Antarctic krill. The impact of anthropogenic climate change in the short-term could be expected to be related to changes in sea ice and physical access to fishing grounds, whereas longer-term implications are likely to include changes in ecosystem productivity affecting target stocks. There are no resident human populations or fishery-dependent livelihoods in the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) Area, therefore climate change will have limited direct implications for regional food security. However, as an “under-exploited” fishery, there is potential for krill to play a role in global food security in the longer term. The institutional and management approach taken by CCAMLR, including the ecosystem-based approach, the establishment of large marine protected areas, and scientific monitoring programmes, provides measures of resilience to climate change.

In 2022, the Commission recognised that climate change is already having effects in the Convention Area (CCAMLR-41, paragraph 6.3) and agreed that it needed to act urgently to prepare for, and adapt to, the effects of climate change on the marine ecosystems within the Convention Area (CCAMLR-41, paragraph 6.5). The Commission noted (CCAMLR-41, paragraph 6.4) that the Scientific Committee had incorporated climate change into its advice (SC-CAMLR-41, paragraph 7.8) and through discussions at the SC-Symposium (SC-CAMLR-41, Annex 11) had also added climate change to the work plans and terms of reference of its Working Groups (SC-CAMLR-41, paragraph 7.14). The Commission also welcomed (CCAMLR-41, paragraph 6.8) the Scientific Committee’s agreement to hold a workshop on climate change in the first half of 2023 (SC-CAMLR-41, paragraph 7.10) and encouraged the inclusion of a range of scientific experts as well as policy makers to foster integration of the best available science into management actions. The Commission adopted (CCAMLR-41, paragraph 6.28) Resolution 36/41.


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