A preliminary assessment of the stock of the ommastrephid squid Martialia hyadesi in the Scotia Sea based on data from predators
A preliminary assessment of the stock of the ommastrephid squid Martialia hyadesi in the Scotia Sea based on data from predators ... l'objet d'un effort de recherche plus intensif. * This paper, in a revised form ...
Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/7 (Selected Scientific Papers, SC-CAMLR-SSP/7) : 479-480 : Author(s): Rodhouse, P.G.
development of structural and data elements of the enterprise data model, data warehouse, quality assurance ... to CCAMLR’s fishery and trade statistics. 13. Data forms for observer, vessel and tagging data - the requirements for data forms will be reviewed, together with candidate platforms to support smart forms and/or e ...
Document : Site Section: The Organisation
A simulation study of the method of deriving natural mortality rate using data for Champsocephalus gunnari in Subarea 48.3
A method of determining the rate of natural mortality, based on the construction of a regression between the rate of annual fishing mortality (determined by VPA) and fishing effort is described. The intersect of this regression must be equal to zero if the natural mortality rate has been correctly identified and something other than zero if it has not been correctly chosen. Data for Champsocephalus ... (2) will equal zero when the value of M used is equal to the true value of M. 4. DATA USED For running ...
Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/8 (Selected Scientific Papers, SC-CAMLR-SSP/8) : 69-83 : Author(s): Gasyukov, P.S. and R.S. Dorovskikh
solutions are not found in the near future. The workshop concluded that routine data collection framework ... ................................................................................................................. 8 1.2. Presence/absence data ...
Document : Site Section: Science
Catch per unit effort (CPUE) data from the early years of commercail krill fishing operations in the Atlantic sector of the Antarctic
Catch per unit effort (CPUE) data are presented from krill fishing operations in CCAMLR Subareas 48.1, 48.2, 48.3 (South Atlantic) for the period 1975/76 to 1987/88. Comparisons are carried out between subareas in single years, between years on a subarea and area basis, and between oceanic and shelf regions. Results show that the CPUE may differ between subareas, years and shelf/oceanic regions ... 48 (Siegel, 1988; Siegel et al., 1997). We reduce this effect in the CPUE data by using the mean ...
Science Journal Paper : CCAMLR Science, Volume 5 (CCAMLR Science, Volume 5) : 31–50 : Author(s): Siegel, V., V. Sushin and U. Damm
Acoustic data from the Polish FIBEX survey in the West Atlantic were analysed using recent acoustic target strength estimates of krill (SC-CAMLR, 1991a). This analysis indicated that the acoustic densities of krill in the oceanic parts of the Drake Passage were low (3 g m-2); however, the results also indicated that spatial variability was important and that parts of the shelf to the north of the South Shetland Islands ... by Trathan et al. (1992) was that archived at the BIOMASS Data Centre. This dataset was also the same ...
Science Journal Paper : CCAMLR Science, Volume 6 (CCAMLR Science, Volume 6) : 125–132 : Author(s): Trathan, P.N., J. Kalinowski and I. Everson
Since krill distributional data do show evidence of spatial correlation, estimators of abundance which attempt to model such effects (such as those based on Kriging techniques) may provide improved abundance estimates from survey data. However, computer simulation studies are first required to test whether such estimators, and alternative possible survey designs, are indeed likely to provide improved ... models have three parameters to be estimated from the data: (A): Iq, A2, w (B): Ab A2, Y The parameters ...
Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/8 (Selected Scientific Papers, SC-CAMLR-SSP/8) : 191-205 : Author(s): Butterworth, D.S., D.L. Borchers and D.G.M. Miller
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
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 ... ) and Antarctic toothfish (D. mawsoni) in the Convention Area, a research plan, a data collection plan, and a tagging program specify the collection of four main data types: spatially referenced catch and effort data ...
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
Data on krill (Euphausia superba Dana) consumption by coastal fishes in Division 58.4.2 (Kosmonavtov and Sodruzhestva Seas)
Current estimates of the level of krill consumption (Euphausia superba) are based on data obtained from the Atlantic sector which have then been extrapolated over all of Antarctica. According to these calculations the entire amount of krill consumed is between 166 and 450 million tonnes; of this amount fish ... . For the most part these figures are based on data obtained from the Atlantic sector of the Southern Ocean ...
Science Journal Paper : Selected Scientific Papers, SC-CAMLR-SSP/8 (Selected Scientific Papers, SC-CAMLR-SSP/8) : 305-319 : Author(s): Pakhomov, Y.A., V.A. Bibik and V.V. Gerasimchuk
Modelling catch and effort data using generalised linear models, the Tweedie distribution, random vessel effects and random stratum-by-year effects
The current standard method for modelling catch and effort data for Patagonian toothfish (Dissostichus eleginoides) for CCAMLR areas is to model the haul-by-haul ratios of catch to effort as the response variable in a generalised linear model (GLM) with a square-root link function and a unit variance ... normalizado y de su precisión a partir de un conjunto 61 Modelling catch and effort data Introduction Since ...
Science Journal Paper : CCAMLR Science, Volume 11 (CCAMLR Science, Volume 11) : 59-80 : Author(s): Candy, S.G