Journal
FISHERIES RESEARCH
Volume 70, Issue 2-3, Pages 209-227Publisher
ELSEVIER
DOI: 10.1016/j.fishres.2004.08.026
Keywords
standardisation of catch rates; general linear models; stock abundance indices; spatial distribution of fishing effort; modelling uncertainty
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Construction of annual indices of stock abundance based on catch and effort data remains central to many fisheries' assessments. While the use of more advanced statistical methods has helped catch rates to be standardised against many explanatory variables, the changing spatial characteristics of most fisheries data sets provide additional challenges for constructing reliable indices of stock abundance. After reviewing the use of general linear models to construct indices of annual stock abundance, potential biases which can arise due to the unequal and changing nature of the spatial distribution of fishing effort are examined and illustrated through the analysis of simulated data. Finally, some options are suggested for modelling catch rates in unfished strata and for accounting for the uncertainties in the stock and fishery dynamics which arise in the interpretation of spatially varying catch rate data. (C) 2004 Elsevier B.V. All rights reserved.
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