A framework for the standardisation of tropical tuna purse seine CPUE: application to the yellowfin tuna in the Indian Ocean
2016
Katara, I
Preprint
Afficher plus [+] Moins [-]anglais. We revised the existing framework for tuna CPUE standardisation in light of the increasing literature thatadvocates the use of mixed effects models to account for the characteristics of logbook data. We apply theframework on yellowfin tuna (YFT) from the Indian Ocean, caught by the purse seine EU fleet (Spain andFrance) from 1984 to 2015. We used a comprehensive list of candidate covariates, including non- conventional covariates, and run exploratory models to assess the contribution of each covariate. Due to thelarge number of covariates, the lasso – least absolute shrinkage and selection operator- method was appliedfor data mining and model selection purposes. The results are two standardised YFT CPUE time series for theperiod 1984-2015, one for large fish caught in free-school related sets, and one for mainly juveniles caught infloating object related sets. Issues on the usefulness of highly aggregated data (low resolution: annual andfleet wide) is discussed along with the need for more detailed information on the use of dFADs, preferably atthe level of a fishing trip.
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