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
International audience Estimation of abundance with wide spatio-temporal 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 multip...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Online Access: | https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-03401246 https://doi.org/10.1139/cjfas-2020-0368 |
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ftccsdartic:oai:HAL:hal-03401246v1 2023-05-15T15:30:36+02:00 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 Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) pôle OFB-INRAE- Agrocampus Ouest-UPPA pour la gestion des migrateurs amphihalins dans leur environnement AGROCAMPUS OUEST Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Office français de la biodiversité (OFB) Office français de la biodiversité (OFB) Bretagne Grands Migrateurs (BGM) Écologie et santé des écosystèmes (ESE) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-AGROCAMPUS OUEST Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) 2021 https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-03401246 https://doi.org/10.1139/cjfas-2020-0368 en eng HAL CCSD NRC Research Press info:eu-repo/semantics/altIdentifier/doi/10.1139/cjfas-2020-0368 hal-03401246 https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-03401246 doi:10.1139/cjfas-2020-0368 ISSN: 0706-652X EISSN: 1205-7533 Canadian Journal of Fisheries and Aquatic Sciences https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-03401246 Canadian Journal of Fisheries and Aquatic Sciences, NRC Research Press, 2021, ⟨10.1139/cjfas-2020-0368⟩ Atlantic Salmon Data Collection Time Series Britanny -- France Full Advantage Fishing Effort Hierarchical Bayesian Environmental Covariates Clear Trend Wild Populations Bayesian Modelling [SDV]Life Sciences [q-bio] [STAT.AP]Statistics [stat]/Applications [stat.AP] info:eu-repo/semantics/article Journal articles 2021 ftccsdartic https://doi.org/10.1139/cjfas-2020-0368 2021-11-20T23:36:11Z International audience Estimation of abundance with wide spatio-temporal 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 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 4 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 Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Canadian Journal of Fisheries and Aquatic Sciences |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
Atlantic Salmon Data Collection Time Series Britanny -- France Full Advantage Fishing Effort Hierarchical Bayesian Environmental Covariates Clear Trend Wild Populations Bayesian Modelling [SDV]Life Sciences [q-bio] [STAT.AP]Statistics [stat]/Applications [stat.AP] |
spellingShingle |
Atlantic Salmon Data Collection Time Series Britanny -- France Full Advantage Fishing Effort Hierarchical Bayesian Environmental Covariates Clear Trend Wild Populations Bayesian Modelling [SDV]Life Sciences [q-bio] [STAT.AP]Statistics [stat]/Applications [stat.AP] 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 |
topic_facet |
Atlantic Salmon Data Collection Time Series Britanny -- France Full Advantage Fishing Effort Hierarchical Bayesian Environmental Covariates Clear Trend Wild Populations Bayesian Modelling [SDV]Life Sciences [q-bio] [STAT.AP]Statistics [stat]/Applications [stat.AP] |
description |
International audience Estimation of abundance with wide spatio-temporal 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 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 4 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. |
author2 |
Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) pôle OFB-INRAE- Agrocampus Ouest-UPPA pour la gestion des migrateurs amphihalins dans leur environnement AGROCAMPUS OUEST Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Office français de la biodiversité (OFB) Office français de la biodiversité (OFB) Bretagne Grands Migrateurs (BGM) Écologie et santé des écosystèmes (ESE) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-AGROCAMPUS OUEST Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) |
format |
Article in Journal/Newspaper |
author |
Lebot, Clément Arago, Marie-Andrée Beaulaton, Laurent Germis, Gaëlle Nevoux, Marie Rivot, Etienne Prévost, Etienne |
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 |
HAL CCSD |
publishDate |
2021 |
url |
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-03401246 https://doi.org/10.1139/cjfas-2020-0368 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
ISSN: 0706-652X EISSN: 1205-7533 Canadian Journal of Fisheries and Aquatic Sciences https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-03401246 Canadian Journal of Fisheries and Aquatic Sciences, NRC Research Press, 2021, ⟨10.1139/cjfas-2020-0368⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1139/cjfas-2020-0368 hal-03401246 https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-03401246 doi:10.1139/cjfas-2020-0368 |
op_doi |
https://doi.org/10.1139/cjfas-2020-0368 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
_version_ |
1766361058282307584 |