Mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. L'apport des modèles hiérarchiques Bayésiens
Localisation R 2536 il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées attendues dans les autres types de produit : REPORT National audience This deliverable is the French version of the NGO stakeholder paper for the Atlantic salmon case study. The pap...
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ftunivpau:oai:HAL:hal-01210267v1 2023-11-12T04:14:33+01:00 Mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. L'apport des modèles hiérarchiques Bayésiens Mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. L'apport des modèles hiérarchiques Bayésiens: Ecoknows deliverable 7.1. NGO Stakeholder paper; Case study Atlantic salmon Rivot, Etienne Massiot-Granier, Félix Prévost, Etienne White, J. Chaput, G. Romakkaniemi, A. Pulkinnen, H. Pakkarinen, T. Mäntyniemi, Samu Écologie et santé des écosystèmes (ESE) Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST 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) Marine Institute Fisheries and Oceans Canada (DFO) Finnish Game and Fisheries Research Institute Helsingin yliopisto = Helsingfors universitet = University of Helsinki Fisheries and Environmental Management Group Project co-funded by the European Commission within the Seventh Framework Programme (2007-2013) European Project: 244706 2014 https://hal.science/hal-01210267 https://hal.science/hal-01210267/document https://hal.science/hal-01210267/file/2014_Rivot_Ecoknows_1.pdf fr fre HAL CCSD info:eu-repo/grantAgreement//244706/EU/Effective use of ecosystem and biological knowledge in fisheries/ hal-01210267 https://hal.science/hal-01210267 https://hal.science/hal-01210267/document https://hal.science/hal-01210267/file/2014_Rivot_Ecoknows_1.pdf PRODINRA: 295115 info:eu-repo/semantics/OpenAccess https://hal.science/hal-01210267 2014, 20 p [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/other Other publications 2014 ftunivpau 2023-11-01T17:24:44Z Localisation R 2536 il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées attendues dans les autres types de produit : REPORT National audience This deliverable is the French version of the NGO stakeholder paper for the Atlantic salmon case study. The paper is planned to be published in the French journal Sciences Eaux et Territoires (www.set-revue.fr). The modelling approach developed during the Ecoknows project in collaboration with the ICES Working Group on North Atlantic Salmon is reviewed. Models are being developed that provide improvement to the stock assessment models currently used by the ICES WGNAS and paves the way toward harmonizing the stock assessment models used in the Baltic (WGBAST) and in the North Atlantic (WGNAS). A life cycle model has been successfully developed in the Hierarchical Bayesian framework that brings a substantial contribution to A. salmon stock assessment on a broad ocean scale. The model captures the joint dynamics of all the populations considered by ICES for stock assessment in the five regions of the South Eastern-North Atlantic Ocean: France, England and Wales, Ireland and Northern Ireland, Scotland and Iceland. Results show that marine survival, has fluctuated markedly through time with a clear shift in 1990. Maturing probability after decades of increase is now slightly decreasing, indicating some fundamental changes in stocks biology or in their environment.Temporal fluctuations in key population dynamic parameters and abundances are quite synchronous across stocks and reinforce the hypothesis of a response to large scale environmental forcing during the marine phase of the life cycle. Other/Unknown Material Atlantic salmon Iceland North Atlantic HAL e2s UPPA (Université de Pau et des Pays de l'Adour) |
institution |
Open Polar |
collection |
HAL e2s UPPA (Université de Pau et des Pays de l'Adour) |
op_collection_id |
ftunivpau |
language |
French |
topic |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology Rivot, Etienne Massiot-Granier, Félix Prévost, Etienne White, J. Chaput, G. Romakkaniemi, A. Pulkinnen, H. Pakkarinen, T. Mäntyniemi, Samu Mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. L'apport des modèles hiérarchiques Bayésiens |
topic_facet |
[SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
Localisation R 2536 il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées attendues dans les autres types de produit : REPORT National audience This deliverable is the French version of the NGO stakeholder paper for the Atlantic salmon case study. The paper is planned to be published in the French journal Sciences Eaux et Territoires (www.set-revue.fr). The modelling approach developed during the Ecoknows project in collaboration with the ICES Working Group on North Atlantic Salmon is reviewed. Models are being developed that provide improvement to the stock assessment models currently used by the ICES WGNAS and paves the way toward harmonizing the stock assessment models used in the Baltic (WGBAST) and in the North Atlantic (WGNAS). A life cycle model has been successfully developed in the Hierarchical Bayesian framework that brings a substantial contribution to A. salmon stock assessment on a broad ocean scale. The model captures the joint dynamics of all the populations considered by ICES for stock assessment in the five regions of the South Eastern-North Atlantic Ocean: France, England and Wales, Ireland and Northern Ireland, Scotland and Iceland. Results show that marine survival, has fluctuated markedly through time with a clear shift in 1990. Maturing probability after decades of increase is now slightly decreasing, indicating some fundamental changes in stocks biology or in their environment.Temporal fluctuations in key population dynamic parameters and abundances are quite synchronous across stocks and reinforce the hypothesis of a response to large scale environmental forcing during the marine phase of the life cycle. |
author2 |
Écologie et santé des écosystèmes (ESE) Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST 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) Marine Institute Fisheries and Oceans Canada (DFO) Finnish Game and Fisheries Research Institute Helsingin yliopisto = Helsingfors universitet = University of Helsinki Fisheries and Environmental Management Group Project co-funded by the European Commission within the Seventh Framework Programme (2007-2013) European Project: 244706 |
format |
Other/Unknown Material |
author |
Rivot, Etienne Massiot-Granier, Félix Prévost, Etienne White, J. Chaput, G. Romakkaniemi, A. Pulkinnen, H. Pakkarinen, T. Mäntyniemi, Samu |
author_facet |
Rivot, Etienne Massiot-Granier, Félix Prévost, Etienne White, J. Chaput, G. Romakkaniemi, A. Pulkinnen, H. Pakkarinen, T. Mäntyniemi, Samu |
author_sort |
Rivot, Etienne |
title |
Mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. L'apport des modèles hiérarchiques Bayésiens |
title_short |
Mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. L'apport des modèles hiérarchiques Bayésiens |
title_full |
Mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. L'apport des modèles hiérarchiques Bayésiens |
title_fullStr |
Mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. L'apport des modèles hiérarchiques Bayésiens |
title_full_unstemmed |
Mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. L'apport des modèles hiérarchiques Bayésiens |
title_sort |
mieux comprendre la dynamique des populations sauvages de saumon atlantique pour optimiser leur gestion. l'apport des modèles hiérarchiques bayésiens |
publisher |
HAL CCSD |
publishDate |
2014 |
url |
https://hal.science/hal-01210267 https://hal.science/hal-01210267/document https://hal.science/hal-01210267/file/2014_Rivot_Ecoknows_1.pdf |
genre |
Atlantic salmon Iceland North Atlantic |
genre_facet |
Atlantic salmon Iceland North Atlantic |
op_source |
https://hal.science/hal-01210267 2014, 20 p |
op_relation |
info:eu-repo/grantAgreement//244706/EU/Effective use of ecosystem and biological knowledge in fisheries/ hal-01210267 https://hal.science/hal-01210267 https://hal.science/hal-01210267/document https://hal.science/hal-01210267/file/2014_Rivot_Ecoknows_1.pdf PRODINRA: 295115 |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1782332206665957376 |