Search results
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An impact assessment framework for bottom fishing methods in the CAMLR Convention Area
. However, in data-poor situ- ations, and for poorly understood ecosystem proc- esses, a pragmatic approach ... . The need to make decisions in such a data- poor setting favours the use of impact assessment approaches ... -poor setting The described impact assessment process does not require spatially resolved knowledge ... ; and (iii) the poor and variable efficiency of typical sampling methods. The overall evaluation of risk ...
Science Journal Paper : CCAMLR Science, Volume 16 (CCAMLR Science, Volume 16) : 195–210 : Author(s): Sharp, B.R., S.J. Parker and N. Smith
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Length-based assessments revisited – why stock status and fishing mortality of long-lived species such as toothfish cannot be inferred from length-frequency data alone
for this failure are the poor qual- ity and quantity of data, and the strong reliance on tag-recapture data ... for abundance estimates. Tag- recapture data have been considered poor in many instances due to general ... -frequency of released tags and subsequently landed catch, poor tag detection rates, high post-tagging ... a poor predictor for changes in spawning stock status (Table 3). For both selectivity functions, changes ...
Science Journal Paper : CCAMLR Science, Volume 18 (CCAMLR Science, Volume 18) : 57–73 : Author(s): Ziegler, P.E., D.C. Welsford and A.J. Constable
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The Soviet krill fishery in the Atlantic Sector of the Antarctic from 1977 to 1991: fishing effort distribution and interannual patterns
). Period Shift between Subareas Reason Indicated 1978 January 48.3–48.2 Stormy weather, poor catches ... . 1978 December 48.1–48.2 ? 1979 February/March (48.1+48.2)–48.3 ? 1979 September 48.3–48.1 Poor ... Unstable conditions of fishery. 1981 September 48.3– ? 1982 April 48.1–48.2 Poor catches: krill ...
Science Journal Paper : CCAMLR Science, Volume 10 (CCAMLR Science, Volume 10) : 1–13 : Author(s): Litvinov, F.F., V.A. Sushin, G.A. Chernega and O.A. Berezhinsky
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Brief comments on the simulation study made by Professor Butterworth on krill fishing by an individual Japanese trawler
, they would obtain a poor total catch. Actually, trawlers set the 349 CRmin criterion 2 to 2.5 Vh ...
Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/6 (Selected Scientific Papers, SC-CAMLR-SSP/6) : 347–350 : Author(s): Ichii, T. and Y. Endo
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Analysis and modelling of the Soviet Southern Ocean krill fleet, II: Estimating the number of concentrations and analytical justification for search data
7 shows summary statistics for catch and trawling times. Concentrations were divided into "poor ... /hour is considered poor. From these tables, we see that the coefficients of variation of concentration ... Poor Gxx:t (kg) (h rs) Professor Derugin 155 087 128 None All (0.73)* (0.58)* Odyssey 24 829 161 ...
Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/6 (Selected Scientific Papers, SC-CAMLR-SSP/6) : 283–322 : Author(s): Mangel, M.
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Estimation of natural mortality for the Patagonian toothfish at Heard and McDonald Islands using catch-at-age and aged mark-recapture data from the main trawl ground
for each pro- filed value of M. Candy et al. (2010) attempted to rectify the poor performance ... of the BODE model, in particular its poor fit to the catch-at-age data described above, by constraining ... the poor performance of the BODE model. The CCODE model, for a nominal M in the simu- lations of 0.13 ...
Science Journal Paper : CCAMLR Science, Volume 18 (CCAMLR Science, Volume 18) : 29–45 : Author(s): Candy, S.G., D.C. Welsford, T. Lamb, J.J. Verdouw and J.J. Hutchins
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Krill fishing in the Scotia Sea in relation to bathymetry, including the detailed distribution around South Georgia
showed very poor breeding performance that year (SC-CAMLR-XIV, 1995, Tables 3.7 and 3.8), and research ... in the season, suggesting the overlap with the main summer foraging area was greatest in the poor krill year ... , O ~ Y ~ ~ M K O B ~ H H ~ ~ X B C ~ U ~ U C ~ L L Y ~ C K O M 6 m n n e m e ~ e AHTKOMU. noKa3aHb1 1000 M 2000-MeTp0Bb1e ~306a~b1. PACYHOK ... W., O M ~ ~ J I H K ~ B ~ H H ~ I X B C m a r n u c m u ~ e c ~ o ~ G m n n e m e ~ e AHTKOMn. noKa3a~b1 250, 500, 1000 M 2 0 0 0 - ~ e ~ p o ~ b r e ~ 3 0 6 a ~ b l . PMCYHOK ...
Science Journal Paper : CCAMLR Science, Volume 4 (CCAMLR Science, Volume 4) : 1–17 : Author(s): Murphy, E.J., P.N. Trathan, I. Everson, G. Parkes and F.H.J. Daunt
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Effects of weather and sea-ice on the reproductive performance of the Adélie penguin at Edmonson Point, Ross Sea
at the normal time in 2003, chicks had to be fed for their fi rst few days by parents in poor condition ... reduced by the delayed return of the males. The weather conditions in 2003 were poor and sea-ice ...
Science Journal Paper : CCAMLR Science, Volume 11 (CCAMLR Science, Volume 11) : 99–109 : Author(s): Olmastroni, S., F. Pezzo, V. Volpi and S. Focardi
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A stock assessment model of Antarctic toothfish (Dissostichus mawsoni) in the Ross Sea Region incorporating multi-year mark-recapture data
in the residuals. MCMC results Trace plots showed no evidence of poor convergence in the key biomass parameters ... for ‘data-rich’ species to inform assessments of ‘data-poor’ species through Bayesian stock assessment ... if these could lead to a choice of default values of priors for assessments of data-poor assess- ments, including ... since the late 1990s. No fishery-independent methods of monitoring stock abundance were plausible, and ... demonstrates the value of multi-year mark-recapture programs to estimate fish stocks even where no fishery ...
Science Journal Paper : CCAMLR Science, Volume 21 (CCAMLR Science, Volume 21) : 39–62 : Author(s): Mormede, S., A. Dunn and S.M. Hanchet
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Consideration of major issues in ecosystem monitoring and management
is that reduced chick production may be due to the adult birds being underweight or in otherwise poor condition ... , a result that may be due to poor winter feeding conditions. 227 Ecosystem monitoring and management ...
Science Journal Paper : CCAMLR Science, Volume 9 (CCAMLR Science, Volume 9) : 213–232 : Author(s): Everson, I