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1. A von Bertalanffy growth model for Division 58.5.2 fitted to length-at-age data and a comparison of predicted with observed growth from mark–recapture data

   parameters. A young-age adjustment (less than 5 years old) to the VB model is also given in order to give ... parameters. A young-age adjustment (less than 5 years old) to the VB model is also given in order to give ...

   Meeting Document : WG-FSA-SAM-06/07 : Author(s): S.G. Candy, A.J. Constable, T. Lamb and R. Williams (Australia)

2. Results of the groundfish survey carried out in CCAMLR Subarea 48.3 in January 2010

   48.3 on the FV Sil. Seventy-five random hauls were completed with good coverage across the shelf ... , representing an increase in effort overall compared with surveys carried out in 2008 and 2009 on the same ... vessel. Catch-weighted length frequencies of mackerel icefish indicated that although 3+ sized fish ... mean biomass of 52,329 tonnes was estimated for mackerel icefish, with a lower 1-sided 95% CL of 24,334 ...

   Meeting Document : WG-FSA-10/38 : Author(s): R.E. Mitchell, M. Belchier, S. Gregory, L. Kenny, J. Nelson, J. Brown and L. Feathersone (UK)

3. Aggregation patterns of pelagic predators and their principal prey, Antarctic krill, near South Georgia

   . 3. We approached the difficult analytical problems associated with spatial distributions of ... organisms by using spatial autocorrelation and cross-correlation analysis, regression models with spatial ...

   Meeting Document : WG-CEMP-93/13 : Author(s): R.R. Veit (USA), E.D. Silverman (USA) and I. Everson (United Kingdom)

4. Phytoplankton standing stocks in relation to krill in Antarctic waters

   waters with temperature ranging from 0 to 3° C and high nutrient content. Phytoplankton cell counts in ... , with values ranging from 9.8 to 303.7m1/100m3. While the total catch per (IKMT) trawl ranged from 0.2 ...

   Meeting Document : WG-EMM-98/34 : Author(s): X.N. Verlecar, R. Vijayakumar, F. Saldhana and L. Martins (India)

5. The area north of Joinville–D’Urville Islands (Subarea 48.1) a former fishing ground at the tip of the Antarctic Peninsula – revisited

   of the Antarctic Expedition ANT XIX/3 with RV ‘Polarstern’ in February 2002. Five hauls were ...

   Meeting Document : WG-FSA-03/26 : Author(s): K.-H. Kock (Germany), L. Pshenichnov (Ukraine), K. Skora (Poland), Zh.A. Frolkina (Russia) and C.D. Jones (USA)

6. Assessment of toothfish in Subarea 48.3, 2006

   derived from otolith examination of a random sample of the catch. 3. All the assessments suggest that the ... the region 3300 – 3600 t would be consistent with CCAMLR decision rules. Author(s):  D.J. Agnew, R ...

   Meeting Document : WG-FSA-06/53 : Author(s): D.J. Agnew, R. Hillary, M. Belchier, J. Clark and J. Pearce (United Kingdom)

7. Potential effects of UV-B on krill – experimental and genetic studies

   radiation 3–5 times below surface irradiance caused krill to die within a week, while animals in the dark ... 3–5 times below surface irradiance caused krill to die within a week, while animals in the dark survived ...

   Meeting Document : WG-EMM-99/24 : Author(s): S. Newman, S. Jarman, S. Nicol, D. Ritz, H. Marchant, N. Elliot and A. McMinn (Australia)

8. Methodological aspects of the International Synoptic Krill Survey in Area 48, 2019

   night, 2) differing trawl selectivity between the vessels that participated in the survey, and 3) the ... estimates. Areas with most of the krill backscatter in well-defined schools were least sensitive to the ...

   Meeting Document : SG-ASAM-2019/10 : Author(s): G. Macaulay, G. Skaret, T. Knutsen and B. Krafft

9. Estimating food consumption of marine predators: Antarctic fur seals and macaroni penguins

   of 0?35 (CV = 0?11) and 0?72 (CV = 0?23) G tonnes year –1. Carbon expired as CO 2 was 0?26 (CV = 0?06 ... ) and 0?65 (CV = 0?19) G tonnes year –1 for fur seals and macaroni penguins, respectively. The per capita ... food consumption varied depending upon sex and age but, overall, this was 1?7 (CV = 0?22) tonnes year ... –1 for Antarctic fur seals and 0?45 (CV = 0?22) tonnes year –1 for macaroni penguins. 4. The algorithm showed ...

   Meeting Document : WG-EMM-02/23 : Author(s): I.L. Boyd (United Kingdom)

10. Analysis of variability of krill size and fish by-catch in Japanese krill fishery based on scientific observer data

    cluster units (i.e., year, sub-area, vessel, cruise, and haul) based on a state-space model, separating ... length and bycatch fish number, the parameters estimated by MCMC hardly show difference among years, sub ... -areas, and vessels. The potent interaction effect between year and sub-area suggests large spatio ... ., year, sub-area, vessel, cruise, and haul) based on a state-space model, separating biological process ...

    Meeting Document : WG-EMM-12/68 : Author(s): T. Okuda and M. Kiyota (Japan)

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