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1. Spatial overlap of krill-dependent predators and krill fishery catches and a proposal for subdivision of catch limits in Subarea 48.1

   understanding of spatial overlap between predators and fishing activity. We provide estimates of the spatial ... in Subarea 48.1. In general, overlap of summer and winter foraging habitats with krill catches in ... during the winter period, especially in the Bransfield Strait. Across years, predator distributions ... might affect the distribution of fishing effort.  A comparison of CEMP parameters from two years with ...

   Meeting Document : WG-EMM-14/36 : Author(s): J.T. Hinke, M.E. Goebel (USA), M.M. Santos (Argentina), P.N. Trathan (UK), W.Z. Trivelpiece and G.M. Watters (USA)

2. Characteristics of interannual variation in aggregation and diurnal vertical migration of Antarctic krill at South Georgia during winter

   average krill body length in winter. This could be the optimal behavior of krill to balance food intake ... Abstract:  We elucidated characteristics of interannual variability in density index, recruitment ... predictable fishing grounds occurred in the restricted areas throughout the study period. Main results are as ... predator performance were poor in the previous summer. Krill recruitment index at South Georgia suggested ...

   Meeting Document : WG-EMM-18/34 : Author(s): T. Ichii, Y. Mori, P.N. Trathan, K. Mahapatra, M. Okazaki, T. Hayashi and T. Okuda

3. A comparative morphometric analysis of sagittal otoliths of three icefishes (Channichthyidae) in Antarctic waters

   Abstract:  In the present study a comparative morphometric analysis of sagittal otoliths was ... differences between the left and right sagittae in BSDs, a univariate and multivariate ANOVA and MANOVA were ... from the 20 harmonics analyzed were homoscedastic and normal, and showed very low level of correlation ... in the contour between both otolith pairs for each species (p<0.001). Similarly, EFS coefficients ...

   Meeting Document : WG-FSA-18/47 : Author(s): G. Plaza, C. Rodríguez-Valentino and P.M. Arana

4. PRELIMINARY ESTIMATION OF PENGUIN BREEDING ABUNDANCE AT SPATIAL-SCALES OF RELEVANCE TO CCAMLR: INCORPORATING UNCERTAINTY IN COUNT DATA

   breeding population, and would only account for uncertainty in the accuracy of the count data. However, the ... work was seen as useful in illustrating both the database of penguin count data compiled for the ... Abstract:  One recommendation from the Predator Survey workshop was the undertaking of some ... estimation of SSMU-specific gentoo and Adélie breeding abundance in Area 48, and similar analyses of east ...

   Meeting Document : WG-EMM-08/53 : Author(s): H. Lynch, R. Naveen (USA), J. McKinlay, C. Southwell (Australia), P. Trathan (United Kingdom), W. Trivelpiece, S. Trivelpiece (USA) and D. Ramm (CCAMLR Secretariat)

5. In situ target strength measurements of Antarctic zooplankton (Euphausia superba and Salpa thompsoni) at 120 khz and 200 khz, corroboration of scattering models, and a statistical technique for delineating species

   (5):2985-2988 (1993)], the TS of in-situ krill are shown to fit a deformed cylinder model [T.K ... cumulative distributions (CDF's) of Δσbs derived from the differences in abs measurements at two ... , Antarctica, during the Austral Summer of 1994. Author(s):  D.A. Demer and R.P. Hewitt (USA) Title:  In situ ... Abstract:  In-situ measurements of target strength (TS) were made of Antarctic zooplankton ...

   Meeting Document : WG-Krill-94/12 : Author(s): D.A. Demer and R.P. Hewitt (USA)

6. ANALYSIS OF VARIABILITY OF KRILL SIZE AND FISH BY-CATCH IN JAPANESE KRILL FISHERY BASED ON SCIENTIFIC OBSERVER DATA

   hierarchical Bayesian model. The model was composed of multistage cluster units (i.e., years, subarea, vessels ... , and haul) based on a state-space model, which can separate biological process error in the population ... dynamics from observation error caused by the fishery activity and individual observation. In both krill ... variability of krill population structure and a difficulty in predicting krill population dynamics. Variances ...

   Meeting Document : WG-EMM-11/39 : Author(s): T. Okuda and M. Kiyota (Japan)

7. Mesoscale abundance of fish in a ‘box’ west of Elephant Island

   of Elephant Island (Subarea 48.1) in order to study the meso – scale abundance of demersal finfish ... . Concentrations of both species were found in a comparatively small band primarily along the 200 m isobath (160 ... Abstract:  Germany, in close collaboration with the United States Antarctic Marine Living (U.S ... . AMLR) Program, conducted an investigation of an 7 x 10 nm ‘box’ between 100 and 300 m depth to the west ...

   Meeting Document : WG-FSA-02/21 : Author(s): K.-H. Kock (Germany), C.D. Jones (USA), J. Appel (Germany), G. von Bertouch (CCAMLR Secretariat), D.F. Doolittle (USA), M. la Mesa (Italy), L. Psenichnov (Ukraine), R. Riehl (Germany), T. Romeo (Italy), S. Schöling (Germany) and L. Zane (Italy)

8. Assessment of escape mortality of Antarctic krill (Euphausia superba) in trawls

   escapees, thereafter kept on the surface in tanks to monitor rates of mortality. Hauling depth and duration ... Abstract:  The overall purpose of this study was to estimate the mortality rate of Antarctic krill ... (Euphausia superba) that escape from the most common mesh size used in the current commercial fishery. The ... January-February 2014. The method applied consisted of a covered trawl codend system for retaining ...

   Meeting Document : WG-EMM-14/14 : Author(s): B.A. Krafft (Norway) and L.A. Krag (Denmark)

9. Survey estimates of recruitment of toothfish in Subarea 48.3

   , the modal progression of peaks in the length densities corresponding to cohorts assessed by sequential ... data used by the Working Group for toothfish assessments in 1999 and later were correct. We found ... surveys. Length based analysis of these confirms the growth rate expected from the CCAMLR growth equation ... for South Georgia. Although it is easy to spot cohorts, the size of individual cohorts can not be ...

   Meeting Document : WG-FSA-SAM-04/16 : Author(s): Collins, M., Wakeford, R.C., Moir-Clark, J., Belchier, M., Agnew, D.J.

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

    –2008 were analysed by using a hierarchical Bayesian model. The models were composed of multistage ... biological process error in the population dynamics from fishery process as observation error. In both krill ... -temporal variability in size structure of krill population, which is presumably derived from large ... variability of recruitment causing difficulty in predicting krill population dynamics. Variances of observer ...

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

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