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1. Fish stock assessment survey in Subarea 48.3, 2004

   Abstract:  This report describes the activities and preliminary results of the 9th UK fish stock ... of acoustic methods for the determination of icefish biomass could be undertaken. Following the ... recommendations of the CCAMLR subgroup on fisheries acoustics (WG –SFA) emphasis was to be put on obtaining ... information on the target strength and length composition of the pelagic component of the icefish biomass. A ...

   Meeting Document : WG-FSA-04/85 : Автор(ы): M. Belchier, M. Purves, M. Collins, S. Hawkins, T. Marlow, R. Mitchell, J. Szlakowski and J. Xavier (United Kingdom)

2. Приглашение принять участие в Семинаре по управлению промыслом криля в подрайонах 48.1 и 48.2

   Management for Subareas 48.1 and 48.2. The overarching objective of this workshop will be to explore how ... are not limited to, feedback management and the use of research zones within the proposed D1MPA, and ... the Workshop will be coordinated the 2019 meeting of WG-EMM, and products of the Workshop will be ... submitted to the 2019 meeting of SC‑CAMLR. Author(s):  G. Watters and P. Trathan Title:  Invitation to ...

   Meeting Document : SC-CAMLR-XXXVII/24 : Автор(ы): G. Watters and P. Trathan

3. Комментарии к процедурам управления промыслом клыкача: подрайон 88.1 и SSRU 882 А-В в сезон 2018/19 г.

   operational fisheries monitoring and forecasting did not ensure management of the Olympic fishery in the Ross ... Sea in accordance with regulation under CM 41-09, including the untimely notification of fishery ... closures while there was significant undercatch and the spatial redistribution of allowable catch. Russia ... , irrespective of the goals and tasks addressed in the intersessional period, since changes to Conservation ...

   Meeting Document : SC-CAMLR-38/02 : Автор(ы): Делегация Российской Федерации

4. By-catch observation during krill fishing cruise (48.1, 48.2 Statistical Subareas, 2011)

   Abstract:  359 Antarctic krill catches were analysed for by-catch, it took 48.5% of observed ... catches and 31.3% of total catches. Fish by-catches were usual in the sector 48.1 (89.1% of cases); the ... most of by-caught fishes belonged to families Nototheniidae (NOX) (66.3%). Fish by-catches in the ... sector 48.2 were recorded in 50% examined catches; the most frequent were fishes of families Myctophidae ...

   Meeting Document : WG-FSA-11/41 : Автор(ы): K. Vyshniakova (Ukraine)

5. Предложение Украины о поправке к мере АНТКОМ по сохранению 10-05 о Системе документации уловов Dissostichus

   respect of the implementation of the Dissostichus spp. Catch Document: i.e. it is clarified that this ... document shall apply in cases of transhipment or landing of Dissostichus spp. catches. Author(s ... ):  Delegation of Ukraine Title:  Proposal by Ukraine to amend CCAMLR Conservation Measure 10-05 on the ...

   Meeting Document : CCAMLR-XXXV/29 : Автор(ы): Делегация Украины

6. Soviet krill fishery in 1977–1992, Part 1. Distribution, fishing effort, interannual situation patterns

   types of FE distribution in subsequent groups of years: Type I: 1981 and 1982, partly 1979/1980: FE was ... : FE was developed mostly in subarea 48.2, since 1985 the role of 48.3 is increasing. Type III: 1987 ... discussed several groups of factors influencing FE distribution, it is very difficult to determine the key ... one between them. However, it was revealed that the determined types of FE distribution well ...

   Meeting Document : WG-EMM-01/57 : Автор(ы): F.F. Litvinov, V.A. Sushin, G.A. Chernega and O.A. Berezhinskiy (Russia)

7. Squeezed from both ends: Decline in Antarctic fur seals in the South Shetland Islands driven by both Top–down and Bottom–up processes

   Abstract:  Understanding the relative contributions of different sources of mortality and survival ... in predator populations can improve ecosystem models and management of marine ecosystems.  Within the ... .  This has led to an under emphasis of the role of bottom-up drivers for controlling fur seal production ... provided as an indicator of bottom-up drivers and we contrast these with early season neonate mortality and ...

   Meeting Document : WG-EMM-14/39 : Автор(ы): M.E. Goebel and C.S. Reiss (USA)

8. Admiralty Bay (South Shetland Islands) - long-term marine monitoring program

   vulnerable region of Western Antarctic. It is widely assumed that Antarctic biota are sensitive to ... the site of comprehensive environmental studies over the last 30 years and existing data sets provide ... the opportunity for long-term comparisons, and recognition of any ecosystem changes, and potential ... predictions of future change. Comparison of the collected data with the archive data sets will allow us to ...

   Meeting Document : WG-EMM-15/47 : Автор(ы): A. Panasiuk-Chodnicka, M. Korczak-Abshire, M.I. Żmijewska, K. Chwedorzewska, E. Szymczak, D. Burska, D. Pryputniewicz-Flis and K. Łukawska-Matuszewska (Poland)

9. Krill CPUE standardisation and comparison with acoustic data based on data collected from Chinese fishing vessels in Subarea 48.1

   Abstract:  The usability of CPUE data as Antarctic krill abundance index was a widely discussed ... than catch per day data. The veridical distribution and movement of krill could be important source of ... differences between CPUE and acoustic data. The uncertainties and biases of CPUE data implied that CPUE used ... to indicate the krill stock abundance should be very caution. However, the dynamics of CPUE could ...

   Meeting Document : WG-EMM-17/41 : Автор(ы): Y. Ying, X. Wang, J. Zhu and X. Zhao

10. Preliminary results from the International Synoptic Krill Survey in Area 48, 2019

    presented. Of the six vessels that participated in the survey, this report provides methods and preliminary ... results from four (vessels from the Association of Responsible Krill harvesting companies (ARK), Norway ... , Ukraine, and the United Kingdom), covering 8719 n. miles of acoustic transects and occupying 149 sampling ... distribution maps of krill NASC (nautical area scattering coefficient). A preliminary spatial cluster analysis ...

    Meeting Document : WG-EMM-2019/47 : Автор(ы): G. Macaulay, G. Skaret, T. Knutsen, O.A. Bergstad, B. Krafft, S. Fielding, S.G. Choi, S. Chung, K. Demianenko, V. Podhornyi, K. Vishnyakova, L. Pshenichnov, A. Chuklin, A. Shishman and M.J. Cox

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