Taking full advantage of the diverse assemblage of data at hand to produce time series of abundance: a case study on Atlantic salmon populations of Brittany

Estimation of abundance with wide spatiotemporal coverage is essential to the assessment and management of wild populations. But, in many cases, data available to estimate abundance time series have diverse forms, variable quality over space and time and they stem from multiple data collection proce...

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Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Lebot, Clément, Arago, Marie-Andrée, Beaulaton, Laurent, Germis, Gaëlle, Nevoux, Marie, Rivot, Etienne, Prévost, Etienne
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 2022
Subjects:
Online Access:http://dx.doi.org/10.1139/cjfas-2020-0368
https://cdnsciencepub.com/doi/full-xml/10.1139/cjfas-2020-0368
https://cdnsciencepub.com/doi/pdf/10.1139/cjfas-2020-0368
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spelling crcansciencepubl:10.1139/cjfas-2020-0368 2024-09-15T17:56:07+00:00 Taking full advantage of the diverse assemblage of data at hand to produce time series of abundance: a case study on Atlantic salmon populations of Brittany Lebot, Clément Arago, Marie-Andrée Beaulaton, Laurent Germis, Gaëlle Nevoux, Marie Rivot, Etienne Prévost, Etienne 2022 http://dx.doi.org/10.1139/cjfas-2020-0368 https://cdnsciencepub.com/doi/full-xml/10.1139/cjfas-2020-0368 https://cdnsciencepub.com/doi/pdf/10.1139/cjfas-2020-0368 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 79, issue 4, page 533-547 ISSN 0706-652X 1205-7533 journal-article 2022 crcansciencepubl https://doi.org/10.1139/cjfas-2020-0368 2024-08-01T04:10:02Z Estimation of abundance with wide spatiotemporal coverage is essential to the assessment and management of wild populations. But, in many cases, data available to estimate abundance time series have diverse forms, variable quality over space and time and they stem from multiple data collection procedures. We developed a hierarchical Bayesian modelling (HBM) approach that take full advantage of the diverse assemblage of data at hand to estimate homogeneous time series of abundances irrespective of the data collection procedure. We apply our approach to the estimation of adult abundances of 18 Atlantic salmon (Salmo salar) populations of Brittany (France) from 1987 to 2017 using catch statistics, environmental covariates, and fishing effort. Additional data of total or partial abundance collected in four closely monitored populations are also integrated into the analysis. The HBM framework allows the transfer of information from the closely monitored populations to the others. Our results reveal no clear trend in the abundance of adult returns in Brittany over the period studied. Article in Journal/Newspaper Atlantic salmon Salmo salar Canadian Science Publishing Canadian Journal of Fisheries and Aquatic Sciences
institution Open Polar
collection Canadian Science Publishing
op_collection_id crcansciencepubl
language English
description Estimation of abundance with wide spatiotemporal coverage is essential to the assessment and management of wild populations. But, in many cases, data available to estimate abundance time series have diverse forms, variable quality over space and time and they stem from multiple data collection procedures. We developed a hierarchical Bayesian modelling (HBM) approach that take full advantage of the diverse assemblage of data at hand to estimate homogeneous time series of abundances irrespective of the data collection procedure. We apply our approach to the estimation of adult abundances of 18 Atlantic salmon (Salmo salar) populations of Brittany (France) from 1987 to 2017 using catch statistics, environmental covariates, and fishing effort. Additional data of total or partial abundance collected in four closely monitored populations are also integrated into the analysis. The HBM framework allows the transfer of information from the closely monitored populations to the others. Our results reveal no clear trend in the abundance of adult returns in Brittany over the period studied.
format Article in Journal/Newspaper
author Lebot, Clément
Arago, Marie-Andrée
Beaulaton, Laurent
Germis, Gaëlle
Nevoux, Marie
Rivot, Etienne
Prévost, Etienne
spellingShingle Lebot, Clément
Arago, Marie-Andrée
Beaulaton, Laurent
Germis, Gaëlle
Nevoux, Marie
Rivot, Etienne
Prévost, Etienne
Taking full advantage of the diverse assemblage of data at hand to produce time series of abundance: a case study on Atlantic salmon populations of Brittany
author_facet Lebot, Clément
Arago, Marie-Andrée
Beaulaton, Laurent
Germis, Gaëlle
Nevoux, Marie
Rivot, Etienne
Prévost, Etienne
author_sort Lebot, Clément
title Taking full advantage of the diverse assemblage of data at hand to produce time series of abundance: a case study on Atlantic salmon populations of Brittany
title_short Taking full advantage of the diverse assemblage of data at hand to produce time series of abundance: a case study on Atlantic salmon populations of Brittany
title_full Taking full advantage of the diverse assemblage of data at hand to produce time series of abundance: a case study on Atlantic salmon populations of Brittany
title_fullStr Taking full advantage of the diverse assemblage of data at hand to produce time series of abundance: a case study on Atlantic salmon populations of Brittany
title_full_unstemmed Taking full advantage of the diverse assemblage of data at hand to produce time series of abundance: a case study on Atlantic salmon populations of Brittany
title_sort taking full advantage of the diverse assemblage of data at hand to produce time series of abundance: a case study on atlantic salmon populations of brittany
publisher Canadian Science Publishing
publishDate 2022
url http://dx.doi.org/10.1139/cjfas-2020-0368
https://cdnsciencepub.com/doi/full-xml/10.1139/cjfas-2020-0368
https://cdnsciencepub.com/doi/pdf/10.1139/cjfas-2020-0368
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_source Canadian Journal of Fisheries and Aquatic Sciences
volume 79, issue 4, page 533-547
ISSN 0706-652X 1205-7533
op_rights http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining
op_doi https://doi.org/10.1139/cjfas-2020-0368
container_title Canadian Journal of Fisheries and Aquatic Sciences
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