Antarctic toothfish, *Dissostichus mawsoni* Norman, 1937, and, Patagonian Toothfish, *Dissostichus eleginoides* Smitt, 1898.

Antarctic toothfish, Dissostichus mawsoni Norman, 1937, and, Patagonian Toothfish, Dissostichus eleginoides Smitt, 1898.


Map of the management areas within the CAMLR Convention Area. Subarea 48.2, 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 48.2, 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

Research fishing for Dissostichus spp. in Subarea 48.2 was first conducted by Chile in 1998, when seven hauls were conducted and 36kg of Patagonian toothfish (Dissostichus eleginoides) were caught.

In 2015, Ukraine began a multi-year research program and conducted 29 hauls with a total catch of 31 tonnes of Antarctic toothfish (D. mawsoni) and 4 tonnes of D. eleginoides. Research has continued since 2016 in two Research Blocks (Fig. 1) as part of a multi-year research program in the east of Subarea 48.2.

1.2. Conservation Measures currently in force

Directed fishing for Dissostichus spp. in Subarea 48.2 is prohibited under Conservation Measure 32-02 at least until further scientific information is gathered and reviewed by the Scientific Committee and the Working Group on Fish Stock Assessment (WG-FSA).

Figure 1: Location of the Research Blocks in Subarea 48.2. The fishable depth range (600m-1800m) is highlighted in shades of green.

Figure 1: Location of the Research Blocks in Subarea 48.2. The fishable depth range (600m-1800m) is highlighted in shades of green.


1.3. Active vessels

In 2019, when fishing last occurred, 3 vessels participated in this fishery.


2. Reported catch

2.1. Latest reports and limits

The total catch reported from research surveys that have been conducted in Subarea 48.2 are shown in Table 1. In this fishery, the catch of D. mawsoni reached a maximum of 35 tonnes in 2019, when fishing last occurred.

The catches reported in Subarea 48.2 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-38, paragraph 3.56). 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 fishing, or no IUU estimate available; q: catch data currently quarantined).
Season Number of vessels D. eleginoides D. mawsoni Estimated IUU catch (tonnes)
1998 1 0 0
2015 1 0 (q: 4) 0 (q: 31)
2016 2 1 (q: 2) 6 (q: 66)
2017 3 0 (q: 7) 11 (q: 56)
2018 5 1 (q: 2) 8 (q: 56)
2019 3 1 35
2020
2021
2022


2.2. By-catch

Table 2. Reported catch for by-catch species (Macrourus spp., skates and rays, and other species) in this fishery. -: no fishing. 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)
1998 <1 <1 0 <1
2015 12 <1 q 3.75 <1 q 1 q 12 <1 q
2016 12 <1 q 3.75 <1 82 12 <1 q
2017 12 3 q 3.75 <1 452 12 <1 q
2018 12 3 q 3.75 <1 206 12 <1 q
2019 12 5 3.75 <1 371 12 <1
2020 12 3.75 12
2021 12 3.75 12
2022


2.3. Vulnerable marine ecosystems (VMEs)

All Members are required to submit, within their general 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.

By the end of the 2019 fishing season, there were 16 VMEs and no VME Risk Areas designated in Subarea 48.2.


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. There is an exemption to the requirement for night setting by achieving the sink rates described in Conservation Measure 24-02 and subject to a bird by-catch limit.

There has been no observed seabird mortality reported by vessels from Subarea 48.2 in this fishery.

There has been no observed mammal mortality reported by vessels from Subarea 48.2 in this fishery.


3. Illegal, Unreported and Unregulated (IUU) fishing

Illegal, unreported and unregulated (IUU) fishing gear was recovered from Subarea 48.2 in March 2016 (CCAMLR-XXXV/10). There has been no other recorded evidence of IUU activities in this region since 2006.


4. Data collection

4.1. Data collection requirements

The collection of biological data under Conservation Measure 23-05 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 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 3 and 4.

Table 3. 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. -: no fishing.
Data source Data class Variable 2018 2019 2020 2021 2022
Vessel crew VME line segments 54 380
VME indicator units > 5 and < 10 0 0
VME indicator units > 10 0 0
by-catch taxa identified 8 8
records 52 129
Observer VME line segments 56 212
taxa identified 9 15
weight or volume measurements 26 55
toothfish specimens examined 191 886
length measurements 191 885
weight measurements 190 758
sex identifications 189 886
maturity stage identifications 190 791
gonad weight measurements 176 246
otolith samples 80 543
by-catch specimens examined 213 752
taxa identified 5 9
length measurements 198 228
weight measurements** 207 345
standard length measurements* 0 15
wingspan measurements* 35 25
pelvic length measurements* 35 25
snout to anus measurements* 130 631
sex identifications** 167 712
maturity stage identifications** 130 689
gonad weight measurements** 8 0
otolith samples** 0 185
**: Voluntary records
*: Species-dependent records
Table 4. 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. -: no fishing.
By-catch group Variable 2018 2019 2020 2021 2022
Macrourus spp. specimens examined 130 631
taxa identified 2 3
length measurements 115 110
weight measurements** 130 254
snout to anus measurements* 130 631
sex identifications** 100 606
maturity stage identifications** 100 606
gonad weight measurements** 8 0
otolith samples** 0 185
Skates and rays specimens examined 35 25
taxa identified 1 1
length measurements 35 25
weight measurements** 35 25
wingspan measurements* 35 25
pelvic length measurements* 35 25
sex identifications** 35 25
maturity stage identifications** 0 25
gonad weight measurements** 0 0
Other fish specimens examined 48 96
taxa identified 2 5
length measurements 48 93
weight measurements** 42 66
standard length measurements* 0 15
sex identifications** 32 81
maturity stage identifications** 30 58
gonad weight measurements** 0 0
otolith samples** 0 0
**: Voluntary records
*: Species-dependent records


The counts of by-catch taxa reported above (Table 4) 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 D. mawsoni caught during research are shown in Figure 4. 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 during research fishing ranged from 125 to 175cm.


Figure 4. Annual length frequency distributions of *D. mawsoni* caught in Subarea 48.2. 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 4. Annual length frequency distributions of D. mawsoni caught in Subarea 48.2. 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

To date in this area, 1359 D. mawsoni have been tagged and released (17 have been recaptured, 15 of which were released in this area; Table 5), and, 88 D. eleginoides have been tagged and released (0 have been recaptured).


Table 5. Number of Dissostichus mawsoni tagged and recaptured in the area for each fishing Season.
Recaptured
Season Tagged 2016 2017 2018 2019 Total
2015 156 1 1
2016 346 4 4
2017 349 2 1 1 4
2018 323 3 3 6
2019 185
Total 1359 15


5. Research

5.1. Status of the science

Ukraine initiated a three year (2015-2017) research plan using longline gear (trotline) to sample the toothfish populations in Subarea 48.2 (WG-FSA-14/08). The purpose of the research was to characterise the toothfish populations found in that region to better understand stock structure, movement patterns and improve estimates of population characteristics in the northern Weddell/Scotia Sea. The distributions of the two species of Dissostichus overlap in this area. Additional outcomes of the research related to mapping of the fishable area, documenting relative abundance of D. eleginoides and D. mawsoni, tagging toothfish for biomass estimation and for stock linkage studies, input into spatial population models and collecting information on distribution, relative abundance and life history of by-catch species. The Ukrainian research was continued after 2017 by the vessel Simeiz.

In 2019, Ukraine reported on its research progress, including data on the distribution of Antarctic toothfish and by-catch, and, biological characteristics (length, weight and age) of Antarctic and Patagonian toothfish (WG-FSA-19/51).

In 2016, the United Kingdom proposed to undertake a 3-year research survey in the eastern part of Subarea 48.2 (also extending into Subarea 48.4; WG-FSA-16/40 Rev. 1). The aim of the UK study was to understand the connectivity of toothfish stocks between Subareas 48.2 and 48.4.

The results (WG-FSA-2021/22) provided evidence linking D. mawsoni with the Antarctic continental shelf and indicated a potential D. mawsoni spawning region in Subarea 48.2. The movements of recaptured tagged fish indicated potential connections with the Lazarev Sea (Subarea 48.6) as well as the southern South Sandwich Islands (Subarea 48.4).


5.2. Research plans

Objectives



In 2014, the Scientific Committee endorsed the advice of the Working Group on Fish Stock Assessment (WG-FSA) (SC-CAMLR-XXXIII, Annex 7, paragraph 5.48) that the research plan of Ukraine in Subarea 48.2 proceed in 2015 with an effort limit of 30 lines and catch limit of 75 tonnes of Dissostichus spp. and a tagging rate of 5 toothfish per tonne. This research program was continued in 2016 with the following specific objectives:

  1. to utilise the expertise and experience of crew aboard vessels to explore and locate fishable habitat and sample toothfish in Subarea 48.2

  2. to document the spatial distribution of toothfish species in the area to east of the South Orkney Islands, thus providing catch and biological observations to test and develop the functionality of spatial population models of the north Weddell Sea region

  3. to tag toothfish and collect biological samples to further understand toothfish movement, migration, spawning and stock linkages within Area 48 and adjacent waters.

In 2016, the Scientific Committee endorsed the UK survey and recommended research catch limits of 23 tonnes in the eastern area of Subarea 48.2 and 18 tonnes in the southern area of Subarea 48.4 (SC-CAMLR-XXXV, paragraph 3.231). The specific objectives of the UK survey were:

  1. determine population connectivity of D. eleginoides and D. mawsoni between Subareas 48.2 and 48.4 adjacent to the established fishery in Subarea 48.4,

  2. expand information on population structures of D. eleginoides and D. mawsoni in Subareas 48.2 and 48.4 adjacent to established fishery in Subarea 48.4,

  3. improve data on bathymetry and associated distributions of target and benthic by-catch species, improve data available to CCAMLR on bathymetric features.

The UK vessel Argos Froyanes and the New Zealand vessel San Aspiring undertook research fishing in 2018 for the UK research survey.


5.3. Advice by the Scientific Committee

Research fishing in Subarea 48.2 was conducted under Conservation Measure 24-01.


6. Stock status

6.1. Summary of current status

As a data-limited fishery, this fishery does not have such estimates.


6.2. 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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