Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic
International audience A hierarchical Bayesian life cycle model is presented that considers spatial covariation of marine life history traits of Atlantic salmon (Salmo salar) populations in the North Atlantic. The model is based on a collective analysis of the dynamics of 13 stock units (SUs) from t...
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Online Access: | https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-02144031 https://doi.org/10.1111/faf.12345 |
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ftccsdartic:oai:HAL:hal-02144031v1 2023-05-15T15:29:02+02:00 Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic Olmos, Maxime Massiot-Granier, Félix Prévost, Etienne Chaput, Gerald Bradbury, Ian R Nevoux, Marie Rivot, Etienne Écologie et santé des écosystèmes (ESE) Institut National de la Recherche Agronomique (INRA)-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) Gulf of Maine Research Institute (GMRI) Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Institut National de la Recherche Agronomique (INRA)-Université de Pau et des Pays de l'Adour (UPPA) Fisheries and Oceans Canada (DFO) Agence Française de la Biodiversité, Grant/Award Number : INRA-AFB SalmoGlob 2016-2018 European Project: 244706,EC:FP7:KBBE,FP7-KBBE-2009-3,ECOKNOWS(2010) 2019 https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-02144031 https://doi.org/10.1111/faf.12345 en eng HAL CCSD Wiley-Blackwell info:eu-repo/semantics/altIdentifier/doi/10.1111/faf.12345 info:eu-repo/grantAgreement/EC/FP7/244706/EU/Effective use of ecosystem and biological knowledge in fisheries/ECOKNOWS hal-02144031 https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-02144031 doi:10.1111/faf.12345 PRODINRA: 465767 WOS: 000459829100009 ISSN: 1467-2960 EISSN: 1467-2979 Fish and Fisheries https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-02144031 Fish and Fisheries, Wiley-Blackwell, 2019, 20 (2), pp.322-342. ⟨10.1111/faf.12345⟩ https://onlinelibrary.wiley.com/journal/14672979 Spatial synchrony Spatial covariation Maturation probability hierarchical bayesian model Marine survival [SDV.EE]Life Sciences [q-bio]/Ecology environment [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems [SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery info:eu-repo/semantics/article Journal articles 2019 ftccsdartic https://doi.org/10.1111/faf.12345 2021-06-26T23:00:27Z International audience A hierarchical Bayesian life cycle model is presented that considers spatial covariation of marine life history traits of Atlantic salmon (Salmo salar) populations in the North Atlantic. The model is based on a collective analysis of the dynamics of 13 stock units (SUs) from two continental stock groups (CSGs) in North America and Southern Europe in a single hierarchical model over the period 1971–2014. The model sets up a new assessment framework for Atlantic salmon stocks. It also provides a framework to investigate the drivers of changes in Atlantic salmon population dynamics including disentangling the effects of fisheries from those of environmental factors in a hierarchy of spatial scales. It is used to test the hypothesis of a strong spatial synchrony in marine life history dynamics of Atlantic salmon populations. The trends in two key parameters associated with the early marine phase of the life cycle are estimated: (i) the marine survival during the first summer–autumn spent at sea and (ii) the proportion of fish maturing after the first winter at sea. The results provide evidence of a decline in the marine survival together with an increase in the proportion of fish that mature after the first winter at sea, common to all SUs. Our results show an increased coherence in the covariations of trends in these two marine life history traits related to geographic proximity of SUs which support the hypothesis of a coherent response of geographically proximate Atlantic salmon populations that likely share similar migration routes. Article in Journal/Newspaper Atlantic salmon North Atlantic Salmo salar Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Fish and Fisheries 20 2 322 342 |
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 |
Spatial synchrony Spatial covariation Maturation probability hierarchical bayesian model Marine survival [SDV.EE]Life Sciences [q-bio]/Ecology environment [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems [SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery |
spellingShingle |
Spatial synchrony Spatial covariation Maturation probability hierarchical bayesian model Marine survival [SDV.EE]Life Sciences [q-bio]/Ecology environment [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems [SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery Olmos, Maxime Massiot-Granier, Félix Prévost, Etienne Chaput, Gerald Bradbury, Ian R Nevoux, Marie Rivot, Etienne Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic |
topic_facet |
Spatial synchrony Spatial covariation Maturation probability hierarchical bayesian model Marine survival [SDV.EE]Life Sciences [q-bio]/Ecology environment [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems [SDV.SA.STP]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of fishery |
description |
International audience A hierarchical Bayesian life cycle model is presented that considers spatial covariation of marine life history traits of Atlantic salmon (Salmo salar) populations in the North Atlantic. The model is based on a collective analysis of the dynamics of 13 stock units (SUs) from two continental stock groups (CSGs) in North America and Southern Europe in a single hierarchical model over the period 1971–2014. The model sets up a new assessment framework for Atlantic salmon stocks. It also provides a framework to investigate the drivers of changes in Atlantic salmon population dynamics including disentangling the effects of fisheries from those of environmental factors in a hierarchy of spatial scales. It is used to test the hypothesis of a strong spatial synchrony in marine life history dynamics of Atlantic salmon populations. The trends in two key parameters associated with the early marine phase of the life cycle are estimated: (i) the marine survival during the first summer–autumn spent at sea and (ii) the proportion of fish maturing after the first winter at sea. The results provide evidence of a decline in the marine survival together with an increase in the proportion of fish that mature after the first winter at sea, common to all SUs. Our results show an increased coherence in the covariations of trends in these two marine life history traits related to geographic proximity of SUs which support the hypothesis of a coherent response of geographically proximate Atlantic salmon populations that likely share similar migration routes. |
author2 |
Écologie et santé des écosystèmes (ESE) Institut National de la Recherche Agronomique (INRA)-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) Gulf of Maine Research Institute (GMRI) Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Institut National de la Recherche Agronomique (INRA)-Université de Pau et des Pays de l'Adour (UPPA) Fisheries and Oceans Canada (DFO) Agence Française de la Biodiversité, Grant/Award Number : INRA-AFB SalmoGlob 2016-2018 European Project: 244706,EC:FP7:KBBE,FP7-KBBE-2009-3,ECOKNOWS(2010) |
format |
Article in Journal/Newspaper |
author |
Olmos, Maxime Massiot-Granier, Félix Prévost, Etienne Chaput, Gerald Bradbury, Ian R Nevoux, Marie Rivot, Etienne |
author_facet |
Olmos, Maxime Massiot-Granier, Félix Prévost, Etienne Chaput, Gerald Bradbury, Ian R Nevoux, Marie Rivot, Etienne |
author_sort |
Olmos, Maxime |
title |
Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic |
title_short |
Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic |
title_full |
Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic |
title_fullStr |
Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic |
title_full_unstemmed |
Evidence for spatial coherence in time trends of marine life history traits of Atlantic salmon in the North Atlantic |
title_sort |
evidence for spatial coherence in time trends of marine life history traits of atlantic salmon in the north atlantic |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-02144031 https://doi.org/10.1111/faf.12345 |
genre |
Atlantic salmon North Atlantic Salmo salar |
genre_facet |
Atlantic salmon North Atlantic Salmo salar |
op_source |
ISSN: 1467-2960 EISSN: 1467-2979 Fish and Fisheries https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-02144031 Fish and Fisheries, Wiley-Blackwell, 2019, 20 (2), pp.322-342. ⟨10.1111/faf.12345⟩ https://onlinelibrary.wiley.com/journal/14672979 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/faf.12345 info:eu-repo/grantAgreement/EC/FP7/244706/EU/Effective use of ecosystem and biological knowledge in fisheries/ECOKNOWS hal-02144031 https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-02144031 doi:10.1111/faf.12345 PRODINRA: 465767 WOS: 000459829100009 |
op_doi |
https://doi.org/10.1111/faf.12345 |
container_title |
Fish and Fisheries |
container_volume |
20 |
container_issue |
2 |
container_start_page |
322 |
op_container_end_page |
342 |
_version_ |
1766359406166933504 |