Separating wild versus stocking components in fish recruitment without identification data: a hierarchical modelling approach
Salmonid juvenile stocking programs are often poorly monitored due to the lack of identification between stocked and wild fish. In this study, a hierarchical Bayesian model is developed to take advantage of spatiotemporal variations of stocking and wild recruitment for estimating these two component...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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Online Access: | http://dx.doi.org/10.1139/cjfas-2015-0443 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2015-0443 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2015-0443 |
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crcansciencepubl:10.1139/cjfas-2015-0443 2023-12-17T10:27:25+01:00 Separating wild versus stocking components in fish recruitment without identification data: a hierarchical modelling approach Dauphin, Guillaume J.R. Brugel, Catherine Legrand, Marion Prévost, Etienne 2017 http://dx.doi.org/10.1139/cjfas-2015-0443 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2015-0443 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2015-0443 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 74, issue 7, page 1111-1124 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 2017 crcansciencepubl https://doi.org/10.1139/cjfas-2015-0443 2023-11-19T13:39:09Z Salmonid juvenile stocking programs are often poorly monitored due to the lack of identification between stocked and wild fish. In this study, a hierarchical Bayesian model is developed to take advantage of spatiotemporal variations of stocking and wild recruitment for estimating these two components despite the absence of identification data. It is first tested by means of simulated data and then applied to the 37 year abundance data set of the Atlantic salmon (Salmo salar) population of the Allier catchment (France). Despite the absence of identification data, juvenile densities could be estimated and split into wild and stocked components. We found that the stocked juveniles contributed significantly to the total juvenile production, while the wild reproduction continued to provide an important contribution. This approach is encouraging and promising from a management advice perspective. It is flexible enough to accommodate for case study specificities and shows that long-term monitoring abundances can be useful to assess the impact of stocking programs even in the absence of direct means of identifying stocked versus wild fish. Article in Journal/Newspaper Atlantic salmon Salmo salar Canadian Science Publishing (via Crossref) Canadian Journal of Fisheries and Aquatic Sciences 74 7 1111 1124 |
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Open Polar |
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Canadian Science Publishing (via Crossref) |
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crcansciencepubl |
language |
English |
topic |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
spellingShingle |
Aquatic Science Ecology, Evolution, Behavior and Systematics Dauphin, Guillaume J.R. Brugel, Catherine Legrand, Marion Prévost, Etienne Separating wild versus stocking components in fish recruitment without identification data: a hierarchical modelling approach |
topic_facet |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
description |
Salmonid juvenile stocking programs are often poorly monitored due to the lack of identification between stocked and wild fish. In this study, a hierarchical Bayesian model is developed to take advantage of spatiotemporal variations of stocking and wild recruitment for estimating these two components despite the absence of identification data. It is first tested by means of simulated data and then applied to the 37 year abundance data set of the Atlantic salmon (Salmo salar) population of the Allier catchment (France). Despite the absence of identification data, juvenile densities could be estimated and split into wild and stocked components. We found that the stocked juveniles contributed significantly to the total juvenile production, while the wild reproduction continued to provide an important contribution. This approach is encouraging and promising from a management advice perspective. It is flexible enough to accommodate for case study specificities and shows that long-term monitoring abundances can be useful to assess the impact of stocking programs even in the absence of direct means of identifying stocked versus wild fish. |
format |
Article in Journal/Newspaper |
author |
Dauphin, Guillaume J.R. Brugel, Catherine Legrand, Marion Prévost, Etienne |
author_facet |
Dauphin, Guillaume J.R. Brugel, Catherine Legrand, Marion Prévost, Etienne |
author_sort |
Dauphin, Guillaume J.R. |
title |
Separating wild versus stocking components in fish recruitment without identification data: a hierarchical modelling approach |
title_short |
Separating wild versus stocking components in fish recruitment without identification data: a hierarchical modelling approach |
title_full |
Separating wild versus stocking components in fish recruitment without identification data: a hierarchical modelling approach |
title_fullStr |
Separating wild versus stocking components in fish recruitment without identification data: a hierarchical modelling approach |
title_full_unstemmed |
Separating wild versus stocking components in fish recruitment without identification data: a hierarchical modelling approach |
title_sort |
separating wild versus stocking components in fish recruitment without identification data: a hierarchical modelling approach |
publisher |
Canadian Science Publishing |
publishDate |
2017 |
url |
http://dx.doi.org/10.1139/cjfas-2015-0443 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2015-0443 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2015-0443 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 74, issue 7, page 1111-1124 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/cjfas-2015-0443 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
74 |
container_issue |
7 |
container_start_page |
1111 |
op_container_end_page |
1124 |
_version_ |
1785579276301500416 |