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ICES Journal of Marine Science: Journal du Conseil Advance Access originally published online on August 20, 2008
ICES Journal of Marine Science: Journal du Conseil 2008 65(9):1762-1772; doi:10.1093/icesjms/fsn132
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© 2008 International Council for the Exploration of the Sea. Published by Oxford Journals. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

On the use of tagging data in statistical multispecies multi-area models of marine populations

Sigurdur Hannesson1, Audbjorg Jakobsdottir2, James Begley2, Lorna Taylor2 and Gunnar Stefansson2

1 Mathematical Institute, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, UK
2 Science Institute, University of Iceland, Taeknigardur, Dunhaga 5, 107 Reykjavík, Iceland

Correspondence to G. Stefansson: tel: +354 525 5915; fax: +354 552 8911; e-mail: gstefans{at}gmail.com.

Hannesson, S., Jakobsdottir, A., Begley, J., Taylor, L., and Stefansson, G. 2008. On the use of tagging data in statistical multispecies multi-area models of marine populations. – ICES Journal of Marine Science, 65: 1762–1772.

The use of multispecies models of marine stocks along with recognition of the importance of temporal differences in spatial overlap has resulted in migration rates playing an increasingly important role in models of fish stocks. Moreover, traditional estimates of growth based on samples from fishing gear are confounded with the selection pattern, which is exacerbated when multispecies issues are considered. For these and other reasons, there is a need to include explicit tagging data as a component of fisheries models. A statistical multispecies multi-area framework has been extended to predict tag returns and subsequently to incorporate tagging data in likelihood components to be used when estimating migration rates. The information content of such data is not clear a priori, but simulations indicate the point estimates to be quite reasonable. A bootstrap method is proposed, based on bootstrapping entire tagging experiments (rather than individual fish). The resulting bootstrapped uncertainty estimates are generally applicable and are found to be close to the true values in the simulated examples.

Keywords: bootstrapping, migration estimation, multispecies models

Received 13 December 2007; accepted 28 March 2008; advance access publication 20 August 2008.


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