Integrated stock mixture analysis for continous and categorical data, with application to genetic–otolith combinations
Fish populations or stocks often intermix on fishing grounds, thus posing problems for stock assessors or managers attempting to optimize yields and minimize overexploitation of individual stocks. A Bayesian framework is developed here to simultaneously analyse many of the different data types (e.g....
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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Online Access: | http://dx.doi.org/10.1139/f10-078 http://www.nrcresearchpress.com/doi/full-xml/10.1139/F10-078 http://www.nrcresearchpress.com/doi/pdf/10.1139/F10-078 |
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crcansciencepubl:10.1139/f10-078 2024-04-28T08:13:01+00:00 Integrated stock mixture analysis for continous and categorical data, with application to genetic–otolith combinations Smith, Stephen J. Campana, Steven E. Chen, Yong 2010 http://dx.doi.org/10.1139/f10-078 http://www.nrcresearchpress.com/doi/full-xml/10.1139/F10-078 http://www.nrcresearchpress.com/doi/pdf/10.1139/F10-078 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 67, issue 10, page 1533-1548 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 2010 crcansciencepubl https://doi.org/10.1139/f10-078 2024-04-02T06:55:50Z Fish populations or stocks often intermix on fishing grounds, thus posing problems for stock assessors or managers attempting to optimize yields and minimize overexploitation of individual stocks. A Bayesian framework is developed here to simultaneously analyse many of the different data types (e.g., otolith elemental composition, nuclear and mitochondrial DNA) that have been used to identify stock origins of fish in mixed groups and thus take maximal advantage of the available information. Elements of this framework include the capability to analyse each data type either separately or in combination for any number of mixed-group samples, Bayesian credible intervals to evaluate the uncertainty associated with the estimated proportion of the original stocks in the mixed groups, and posterior predictive diagnostics to evaluate the assumptions of the underlying models. The framework was used to re-analyse a subset of otolith elemental composition and microsatellite allele frequency data obtained from the same fish from Atlantic cod ( Gadus morhua ) stocks in the Gulf of St. Lawrence, Canada. Article in Journal/Newspaper atlantic cod Gadus morhua Canadian Science Publishing Canadian Journal of Fisheries and Aquatic Sciences 67 10 1533 1548 |
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Open Polar |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
topic |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
spellingShingle |
Aquatic Science Ecology, Evolution, Behavior and Systematics Smith, Stephen J. Campana, Steven E. Integrated stock mixture analysis for continous and categorical data, with application to genetic–otolith combinations |
topic_facet |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
description |
Fish populations or stocks often intermix on fishing grounds, thus posing problems for stock assessors or managers attempting to optimize yields and minimize overexploitation of individual stocks. A Bayesian framework is developed here to simultaneously analyse many of the different data types (e.g., otolith elemental composition, nuclear and mitochondrial DNA) that have been used to identify stock origins of fish in mixed groups and thus take maximal advantage of the available information. Elements of this framework include the capability to analyse each data type either separately or in combination for any number of mixed-group samples, Bayesian credible intervals to evaluate the uncertainty associated with the estimated proportion of the original stocks in the mixed groups, and posterior predictive diagnostics to evaluate the assumptions of the underlying models. The framework was used to re-analyse a subset of otolith elemental composition and microsatellite allele frequency data obtained from the same fish from Atlantic cod ( Gadus morhua ) stocks in the Gulf of St. Lawrence, Canada. |
author2 |
Chen, Yong |
format |
Article in Journal/Newspaper |
author |
Smith, Stephen J. Campana, Steven E. |
author_facet |
Smith, Stephen J. Campana, Steven E. |
author_sort |
Smith, Stephen J. |
title |
Integrated stock mixture analysis for continous and categorical data, with application to genetic–otolith combinations |
title_short |
Integrated stock mixture analysis for continous and categorical data, with application to genetic–otolith combinations |
title_full |
Integrated stock mixture analysis for continous and categorical data, with application to genetic–otolith combinations |
title_fullStr |
Integrated stock mixture analysis for continous and categorical data, with application to genetic–otolith combinations |
title_full_unstemmed |
Integrated stock mixture analysis for continous and categorical data, with application to genetic–otolith combinations |
title_sort |
integrated stock mixture analysis for continous and categorical data, with application to genetic–otolith combinations |
publisher |
Canadian Science Publishing |
publishDate |
2010 |
url |
http://dx.doi.org/10.1139/f10-078 http://www.nrcresearchpress.com/doi/full-xml/10.1139/F10-078 http://www.nrcresearchpress.com/doi/pdf/10.1139/F10-078 |
genre |
atlantic cod Gadus morhua |
genre_facet |
atlantic cod Gadus morhua |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 67, issue 10, page 1533-1548 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/f10-078 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
67 |
container_issue |
10 |
container_start_page |
1533 |
op_container_end_page |
1548 |
_version_ |
1797579685173919744 |