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1. Fish Heaven: a Monte Carlo, spatially explicit single species fishery model for the testing of parameter estimation methods

   in the appropriate sections of the manual as 'further improvements'. The manual and software are both ...

   Meeting Document : WG-FSA-00/36 : Author(s): I. Ball and A. Constable (Australia)

2. RESOURCES EVALUATION OF ANTARCTIC KRILL EUPHAUSIA SUPERBA DANA USING AREAL TRAWLING AND HYDRO-ACOUSTIC DATA

   population densities have shown mixed rules of statistical distribution over its natural habitat. Data ... shown mixed rules of statistical distribution over its natural habitat. Data analyses procedures applied ...

   Meeting Document : WG-SAM-08/P01 : Author(s): L.A. Kovalchuk (Ukraine)

3. REPORT ON AUSTRALIAN FISHING EFFORT AND SEABIRD BYCATCH IN FISHERIES OUTSIDE THE CONVENTION AREA

   bycatch mitigation measures are in place in all longline fisheries within Australia's national ...

   Meeting Document : WG-FSA-08/37 Rev. 1 : Author(s): T. Hewitt and I. Hay (Australia)

4. Krill stock evaluation with data from commercial fishing vessels

   been demonstrated. Here we show that acoustic data of good quality can be collected by observers on ... with commercial vessels should be aimed at. Author(s):  G. Skaret (Norway), J. Moir Clark (United ... patterns and diel and seasonal behavior of krill. Based on the last years experience with the Norwegian ... krill fishing vessels and previous experience in own waters we advocate that increased collaboration ...

   Meeting Document : WG-EMM-12/63 : Author(s): G. Skaret (Norway), J. Moir Clark (United Kingdom), O.R. Godø, R.J. Korneliussen, T. Knutsen, B.A. Krafft and S.A. Iversen

5. Estimating the impact of depredation by killer whales and sperm whales on longline fishing for toothfish (Dissostichus eleginoides) around South Georgia

   the end of the season in August. Killer whale interactions appear to be more consistent with no obvious ... the end of the season in August. Killer whale interactions appear to be more consistent with no obvious ...

   Meeting Document : WG-FSA-10/P06 : Author(s): J. Moir Clark and D.J. Agnew

6. Assessment of Patagonian toothfish (Dissostichus eleginoides) in Subarea 48.3

   would be consistent with the CCAMLR decision rule. Author(s):  T. Earl Title:  Assessment of Patagonian ... Abstract:  Assessment of the Patagonian toothfish (D. eleginoides) in Subarea 48.3 indicates that ... recent years. Projections indicate that a constant catch of 2,420 tonnes in the 2020  and 2021 seasons ...

   Meeting Document : WG-FSA-2019/28 : Author(s): T. Earl

7. Dynamic of the krill fishery in the Area 48 and its relation to climate variability and changes in fishing technology

   .  Standardization of CPUE values was calculated on the basis of generalized linear models method with mixed effects ... method with mixed effects (GLMM). Analysis of the time-series of CPUE and AAO indices were carried out ...

   Meeting Document : WG-EMM-13/25 : Author(s): P.S. Gasyukov and S.М Kаsatkina (Russia)

8. By-catch of juvenile Antarctic fish from krill (Euphausia superba Dana) fisheries in the South Georgia area, in 1992

   the period from May to August) the total elimination of C.gunnari and N.larseni is estimated to be 34.3±8.0 ... to August) the total elimination of C.gunnari and N.larseni is estimated to be 34.3±8.0 and 19.8±3.7 million ...

   Meeting Document : WG-FSA-93/8 Rev. 1 : Author(s): E.A. Pakhomov and S.A. Pankratov (Ukraine)

9. Design of the used on Russian vessels Sparta and Chio Maru No. 3 bottom trot-line for toothfish fishing

   less and when fish eats the bait and trying to get away making chaotic movements, it won`t be hooked by ... Abstract:  This work is prepared in accordance with recommendation of 4.18 WG-SAM-12 about ... submitting of data on fishing gears` construction that was used on Russian longliners Sparta” and “Chio Maru ... №3”. The trotline of a special design that was used is formed of main floating line and fastened ...

   Meeting Document : WG-FSA-12/22 : Author(s): I.G. Istomin, V.V. Akishin, V.A. Tatarnikov and I.I. Gordeev (Russia)

10. IDENTIFICATION OF DATA QUALITY METRICS FOR TAGGING DATA SELECTION

    's Law, and the variation in toothfish catch rates.This reduced set of data quality metrics could ...

    Meeting Document : WG-SAM-09/19 : Author(s): D.A.J. Middleton and A. Dunn (New Zealand)

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