Extracting abundance indices from longline surveys : method to account for hook competition and unbaited hooks.
2010
Etienne, Marie-Pierre | Obradovich, Shannon | Yamanaka, Lynne | Mcallister, Murdoch | AgroParisTech | Fisheries Center (FC-UBC) ; University of British Columbia [Canada] (UBC) | Pacific Biological Station (PBS) ; Fisheries and Oceans Canada = Pêches et Océans Canada [Ottawa] (DFO-MPO) | AgroParisTech | UBC | DFO
26 pages, submitted in Fisheries Research
Show more [+] Less [-]English. The most commonly used relative abundance index in stock assessments of longline fisheries is catch per unit effort (CPUE), here defined as the number of fish of the targeted species caught per hook and minute of soak time. Longline CPUE can be affected by interspecific competition and the retrieval of unbaited or empty hooks, and interannual variation in these can lead to biases in the apparent abundance trends in the CPUE. Interspecific competition on longlines has been previously studied but the return of empty hooks is ignored in all current treatments of longline CPUE. In this work we propose some different methods to build indices to address the interspecific competition that relates to empty hooks. We show that in the absence of information about empty hooks, the relative abundance estimates have constant biases with respect to fish density and this is typically not problematic for stock assessment. The simple CPUE index behaves poorly in every scenario. Understanding the reasons for empty hooks allows selection of the appropriate index. A scientific longline survey is conducted every two years in the Strait of Georgia, British Columbia by Fisheries and Oceans Canada. The above methods are applied to build the time-series of indices from 2003 to 2009 for quillback rockfish (Sebastes maliger). Due to variation in the incidence of non-target species, the index trend obtained is moderately sensitive to the choice of the estimator.
Show more [+] Less [-]Bibliographic information
This bibliographic record has been provided by AgroParisTech