Development and comparison of tools to support the assessment of glass eels catch opportunities

Following the decline in glass eel recruitment since the 70s and the implementation of the Eel Regulation in 2007, France implemented a Management Plan in 2008 aiming to reduce glass eel fishing mortality by 60%. Thus, a Scientific Council developed recruitment prediction models to support the estab...

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Main Author: Benezech, Mathilde
Other Authors: AGROCAMPUS OUEST, INRAE, Unité EABX, 50 avenue de Verdun, 33612 Cestas, Étienne Rivot, Hilaire Drouineau
Format: Master Thesis
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://dumas.ccsd.cnrs.fr/dumas-03562603
https://dumas.ccsd.cnrs.fr/dumas-03562603/document
https://dumas.ccsd.cnrs.fr/dumas-03562603/file/2021_Benezech_Mathilde_SHA.pdf
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spelling ftdumashal:oai:HAL:dumas-03562603v1 2023-07-30T03:56:15+02:00 Development and comparison of tools to support the assessment of glass eels catch opportunities Développement et comparaison d'outils d’aide à l’expertise sur les opportunités de capture de civelles Benezech, Mathilde AGROCAMPUS OUEST INRAE, Unité EABX, 50 avenue de Verdun, 33612 Cestas Étienne Rivot Hilaire Drouineau 2021-09-15 https://dumas.ccsd.cnrs.fr/dumas-03562603 https://dumas.ccsd.cnrs.fr/dumas-03562603/document https://dumas.ccsd.cnrs.fr/dumas-03562603/file/2021_Benezech_Mathilde_SHA.pdf en eng HAL CCSD dumas-03562603 https://dumas.ccsd.cnrs.fr/dumas-03562603 https://dumas.ccsd.cnrs.fr/dumas-03562603/document https://dumas.ccsd.cnrs.fr/dumas-03562603/file/2021_Benezech_Mathilde_SHA.pdf info:eu-repo/semantics/OpenAccess https://dumas.ccsd.cnrs.fr/dumas-03562603 Life Sciences [q-bio]. 2021 European eel Overexploitation Recruitment Bayesian assessment model Anguille européenne Surexploitation Recrutement Modèle d’évaluation bayésien [SDV]Life Sciences [q-bio] info:eu-repo/semantics/masterThesis Master Thesis 2021 ftdumashal 2023-07-20T20:24:15Z Following the decline in glass eel recruitment since the 70s and the implementation of the Eel Regulation in 2007, France implemented a Management Plan in 2008 aiming to reduce glass eel fishing mortality by 60%. Thus, a Scientific Council developed recruitment prediction models to support the establishment of catch quotas. However, since 2015, the management target is no longer achieved, raising questions about models’ performance, and about assumptions on past and future recruitment trends. In this context, this study aims to address the limitations of the two current models by (1) proposing alternative models and (2) proposing new criteria to compare models’ performance. Thus, a model based on a spike and slab prior and one on a random slope were proposed to overcome too strong assumptions on recruitment trends, and they were fitted to the WGEEL abundance index from 1980 to 2019. To compare models, recruitment prediction error based on cross-validation as well as criteria quantifying conservation and fishery risks are studied. These indicators are measured in both retrospective and prospective exercises. The random slope model proves to be a good compromise, providing a limited recruitment prediction error and not favouring a single criterion among the exploitation and conservation criteria. In the future, it would be worthwhile exploring the impact of glass eel catches on escapement, which is the Regulation Management target. Suite au déclin du recrutement de civelles depuis les années 70 et à la mise en œuvre du règlement anguille en 2007, la France a établi un plan de gestion en 2008 visant à réduire de 60% la mortalité par pêche des civelles. Un Conseil scientifique a alors développé des modèles de prédiction du recrutement pour aider à l'établissement des quotas de capture. Cependant, l'objectif de gestion n'est plus atteint depuis 2015, soulevant des questions sur la performance des modèles, et leurs hypothèses sur les tendances passées et futures du recrutement. Ainsi, cette étude vise à remédier aux ... Master Thesis Anguille européenne DUMAS (Dépôt Universitaire de Mémoires Après Soutenance) Conseil ENVELOPE(-67.433,-67.433,-67.596,-67.596)
institution Open Polar
collection DUMAS (Dépôt Universitaire de Mémoires Après Soutenance)
op_collection_id ftdumashal
language English
topic European eel
Overexploitation
Recruitment
Bayesian assessment model
Anguille européenne
Surexploitation
Recrutement
Modèle d’évaluation bayésien
[SDV]Life Sciences [q-bio]
spellingShingle European eel
Overexploitation
Recruitment
Bayesian assessment model
Anguille européenne
Surexploitation
Recrutement
Modèle d’évaluation bayésien
[SDV]Life Sciences [q-bio]
Benezech, Mathilde
Development and comparison of tools to support the assessment of glass eels catch opportunities
topic_facet European eel
Overexploitation
Recruitment
Bayesian assessment model
Anguille européenne
Surexploitation
Recrutement
Modèle d’évaluation bayésien
[SDV]Life Sciences [q-bio]
description Following the decline in glass eel recruitment since the 70s and the implementation of the Eel Regulation in 2007, France implemented a Management Plan in 2008 aiming to reduce glass eel fishing mortality by 60%. Thus, a Scientific Council developed recruitment prediction models to support the establishment of catch quotas. However, since 2015, the management target is no longer achieved, raising questions about models’ performance, and about assumptions on past and future recruitment trends. In this context, this study aims to address the limitations of the two current models by (1) proposing alternative models and (2) proposing new criteria to compare models’ performance. Thus, a model based on a spike and slab prior and one on a random slope were proposed to overcome too strong assumptions on recruitment trends, and they were fitted to the WGEEL abundance index from 1980 to 2019. To compare models, recruitment prediction error based on cross-validation as well as criteria quantifying conservation and fishery risks are studied. These indicators are measured in both retrospective and prospective exercises. The random slope model proves to be a good compromise, providing a limited recruitment prediction error and not favouring a single criterion among the exploitation and conservation criteria. In the future, it would be worthwhile exploring the impact of glass eel catches on escapement, which is the Regulation Management target. Suite au déclin du recrutement de civelles depuis les années 70 et à la mise en œuvre du règlement anguille en 2007, la France a établi un plan de gestion en 2008 visant à réduire de 60% la mortalité par pêche des civelles. Un Conseil scientifique a alors développé des modèles de prédiction du recrutement pour aider à l'établissement des quotas de capture. Cependant, l'objectif de gestion n'est plus atteint depuis 2015, soulevant des questions sur la performance des modèles, et leurs hypothèses sur les tendances passées et futures du recrutement. Ainsi, cette étude vise à remédier aux ...
author2 AGROCAMPUS OUEST
INRAE, Unité EABX, 50 avenue de Verdun, 33612 Cestas
Étienne Rivot
Hilaire Drouineau
format Master Thesis
author Benezech, Mathilde
author_facet Benezech, Mathilde
author_sort Benezech, Mathilde
title Development and comparison of tools to support the assessment of glass eels catch opportunities
title_short Development and comparison of tools to support the assessment of glass eels catch opportunities
title_full Development and comparison of tools to support the assessment of glass eels catch opportunities
title_fullStr Development and comparison of tools to support the assessment of glass eels catch opportunities
title_full_unstemmed Development and comparison of tools to support the assessment of glass eels catch opportunities
title_sort development and comparison of tools to support the assessment of glass eels catch opportunities
publisher HAL CCSD
publishDate 2021
url https://dumas.ccsd.cnrs.fr/dumas-03562603
https://dumas.ccsd.cnrs.fr/dumas-03562603/document
https://dumas.ccsd.cnrs.fr/dumas-03562603/file/2021_Benezech_Mathilde_SHA.pdf
long_lat ENVELOPE(-67.433,-67.433,-67.596,-67.596)
geographic Conseil
geographic_facet Conseil
genre Anguille européenne
genre_facet Anguille européenne
op_source https://dumas.ccsd.cnrs.fr/dumas-03562603
Life Sciences [q-bio]. 2021
op_relation dumas-03562603
https://dumas.ccsd.cnrs.fr/dumas-03562603
https://dumas.ccsd.cnrs.fr/dumas-03562603/document
https://dumas.ccsd.cnrs.fr/dumas-03562603/file/2021_Benezech_Mathilde_SHA.pdf
op_rights info:eu-repo/semantics/OpenAccess
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