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Other documentWCPFC: Evaluation of tag mixing assumptions for skipjack, yellowfin and bigeye tuna stock assessments in the western Pacific and Indian Oceans. 2013. WCPFC-SC9-2013/SA-IP-11 2013
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No results found.ng (or mark-recapture) studies generally require the assumption that tagged and untagged individuals (of a particular demographic group) are equally likely to be captured. For tu, this usually translates into the assumption that tagged fish released from a relatively small region (selected for logistical reasons) mix rapidly over a much broader region of interest. In this paper, we apply the Comparison of Paired Recovery Distribution (CPRD) alysis to skipjack (Katsuwonus pelamis), yellowfin (Thu nnus albacares) and bigeye tu (Thunnus obesus) from large-scale tagging programmes in the Western Pacific and Indian Oceans. The CPRD alysis uses chi-square and nearest neighbour permutation statistical tests to calculate the probability that two tag recovery distributions from different release events are drawn from the same spatial distribution. The release events were separated in space and/or time and recovered in the same time window. If there is evidence that the two recovery distributions differ, it follows that tags from the two release events are not fully mixed with each other, such that at least one would also not be mixed with the untagged population either. Recovery events were defined with spatial boundaries corresponding to the most recent stock assessments, and alyses were restricted to release areas that were entirely within the recovery region. In the WCPO, there was strong evidence of incomplete mixing for 5 quarters following release for skipjack and yellowfin tus a nd 1 quarter for bigeye tu. For all 3 species, the observed periods of incomplete mixing is clearly a minimum, as there were insufficient observations to make inferences with respect to longer periods at liberty. In the Indian Ocean, there is strong evidence for incomplete mixing for skipjack for 3 quarters following release, 2 quarters for yellowfin and 1 quarter for bigeye. In contrast to the WCPO, useful numbers of CPRD events of longer duration were identified but did not show consistent com pelling evidence of incomplete mixing. The difference between the Pacific and Indian Ocean results may reflect genuine characteristics of mixing rates (e.g. tu in archipelagic waters seem to migrate shorter distances on average that tu in oceanic waters). However, the failure to detect incomplete mixing in the Indian Ocean may also reflect methodological limitations arising from the opportunistic ture of tag observations (e.g. the spatial distribution of Indian Ocean tag releases and recoveries was more restricted than in the WCPO). We expect that the mixing problem is serious enough to potentially introduce large biases to at least some of these stock assessments, but the magnitude of the biases may not be easy to quantify. -
Meeting documentComparative analysis of the exploitation of bigeye tuna in the Indian and Eastern Atlantic Oceans with emphasis on purse seine fisheries 2013
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Meeting documentStandarized CPUE for juveniles yellowfin, skipjack and bigeye tuna from the European purse seine fleet in the Indian Ocean from 1981 to 2011 2013
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No results found.In this document three abundance indices are obtained for the juveniles of tropical tus (yellowfin (≤10Kg), skipjack and bigeye (≤10Kg) of European purse seine fishery in the Indian ocean from 1981 to 2011 using generalized linear models. Catch and effort data come from detailed daily logbooks. Catch rates are modelled using the delta lognormal model. The method estimates a combined cpue of the three species from aggregated catches, and the proportion of catches for each species, so the fil indi vidual abundance indices are calculated multiplying both estimators for each species. Explatory factors used in the alysis are: year, zone, quarter, holding capacity, country and starting date of the vessel. Year is the most explatory factor of variability in cpue and, depending on the species, the fishing area and the quarter are significant. Vessel characteristics have a significant explatory effect in observed aggregated catch rates.
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