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European Community discussion paper on a unified regulatory framework for CCAMLR based on stages of fishery development
European Community discussion paper on a unified regulatory framework for CCAMLR based on stages of ...
Meeting Document : CCAMLR-XVII/18 : Автор(ы): Delegation of the EC and CCAMLR Secretariat
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USING ECOSYSTEM STRUCTURE TO IDENTIFY FINER-SCALE SSMUS FOR OCEANIC AREAS IN SUBAREAS 48.1 TO 48.3
Abstract: One of the main issues in the management of the krill fishery is finding a spatial ... initial framework of small scale management units (SSMUs) in subareas 48.1 to 48.4 based on the spatial ... consumption of krill by predators and 10% of the cumulative total fishery catch in the three subareas (48.1 to ... 48.3) where the fishery operates. There is ample evidence of structure in oceanic areas from both ...
Meeting Document : WG-EMM-11/18 : Автор(ы): S.L. Hill and J. Silk (UK)
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Are penguins and seals in competition for Antarctic krill at South Georgia?
, respectively, the main mammal and bird consumers of Antarctic krill (Euphausia superba). In recent years the ... population at South Georgia may have resulted in greater competition for the prey of macaroni penguins ... 1989 and 2000. Foraging ranges of the two species showed considerable overlap in both years but the ... species was very similar, but over the last 12 years the prevalence of krill in their diets has diverged ...
Meeting Document : WG-EMM-02/22 : Автор(ы): K.E. Barlow, I.L. Boyd, J.P. Croxall, K. Reid, U.J. Staniland and A.S. Brierley (United Kingdom)
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GIS ‘ChartMaster’ for aquatic living resources research in Antarctic
for studying aquatic living resources in the Antarctic waters: The Chart of possible catches of ... according to the catch results of the Russian fishing vessels in the Antarctic area (from 71º26.4’ S to ... computed by data of the hydroacoustic survey carried out by the Russian R/V «Atlantida» in February-March ... Abstract: Geographic Information Systems (GIS) find increasing application in different fields of ...
Meeting Document : WG-SAM-13/04 : Автор(ы): V.A. Bizikov, S.M. Goncharov, A.V. Polyakov, S.B. Popov and A.F. Petrov (Russia)
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Modelling catch and effort data using generalised linear models with random cruise and stratum-by-year effects: trawl fishery for Dissostichus eleginoides in CAMLR Area 58.5.2
parameter values was presented in WG-FSA-SAM 03-12 using Dissostichus eleginoides in Subarea 48.3 of the ... random effect term in the GLMM. Statistical methods are presented for examining the validity of ... when the S x Y term is included in the GLMM as a fixed effect. Defining an areal extent of each stratum ... stratum. Including the stratum term as fixed simply results in uniform scaling of the CPUE series as is ...
Meeting Document : WG-FSA-03/34 : Автор(ы): S.G. Candy (Australia)
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An illustrative management procedure for exploring dynamic feedback in krill catch limit allocations among small-scale management units
subdivision of the precautionary catch limit for krill among 15 small-scale management units (SSMUs) in the ... the static allocation options, to ensure that the likely performances of these MPs in terms of low ... reducing the abundances of predators (and krill) below certain levels, as well as the variability in future ... regularly available in future to monitor the impact/s of different krill catch limits. For illustrative ...
Meeting Document : WG-EMM-06/28 : Автор(ы): É. Plagányi and D. Butterworth (South Africa)
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Do krill fisheries compete with macaroni penguins? Spatial overlap in prey consumption and krill catches during winter
far less than that among the various other species of krill predators that occur in the Scotia Sea ... , the macaroni penguin, and the krill fishery by examining the spatial overlap in prey consumption and ... period as this is the only time of year when spatio-temporal overlaps between macaroni penguin foraging ... and the krill fishery can occur. We tracked adult macaroni penguins from a colony in South Georgia ...
Meeting Document : WG-EMM-14/02 : Автор(ы): N. Ratcliffe, S.L. Hill, I.J. Staniland, R. Brown, S. Adlard, C. Horswill and P.N. Trathan (United Kingdom)
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Depletion-corrected average catch: a simple formula for estimating sustainable yields in data-poor situations
production, in the form of a “windfall ratio”. The DCAC is calculated as the sum of catches divided by the ... sum of the number of years in the catch series and this windfall ratio. Input information includes the ... sum of catches and associated number of years, the relative reduction in biomass during that period ... Abstract: The depletion-corrected average catch (DCAC) formula is an extension of the potential ...
Meeting Document : WG-SAM-11/P3 : Автор(ы): A.D. McCall
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Toothfish, skate and longline by-catch survey in Subarea 48.3
relevance to stock dynamics for all fish species in the area including by-catch species of the longline ... Abstract: This was the first deep-water trawl survey of the South Georgia Maritime Zone funded by ... the Government of South Georgia and the South Sandwich Islands (GSGSSI) as part of the South Georgia ... information on bycatch species of the longline fishery, particularly grenadiers (Macrourids) and Skates ...
Meeting Document : WG-FSA-03/15 : Автор(ы): M. Belchier, M. Collins, M. Endicott, I. Everson, S. Hawkins, T. Marlow, T. Mulvey and R. Paterson (United Kingdom)
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Integrated models for Antarctic krill (Euphausia superba) using survey data from 1981–2014 in Subarea 48.1
of Antarctic krill in Subarea 48.1 based on different aggregations of the data are described to ... data collected from 1981 to 2014 near the Antarctic Peninsula. Four models of the population dynamics ... illustrate the capabilities of the framework. Survey data collected by Germany (RMT8 net sampling from 1981 ... , and hydroacoustic data arranged in different temporal groupings (annual, summer-winter, monthly). The ...
Meeting Document : WG-SAM-14/20 : Автор(ы): D. Kinzey, G.M. Watters and C.S. Reiss (USA)
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