A risk-based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice
International audience Effective conservation requires monitoring and pro-active risk assessments.We studied the effects of at-sea mortality events (ASMEs) in marine mammals over two decades (1990–2012) and built a risk-based indicator for the European Union's Marine Strategy Framework Directiv...
Published in: | Conservation Letters |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Online Access: | https://hal.science/hal-02056885 https://hal.science/hal-02056885/document https://hal.science/hal-02056885/file/2019_Bouchard_ConservationLetters.pdf https://doi.org/10.1111/conl.12639 |
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ftunivrochelle:oai:HAL:hal-02056885v1 2024-02-11T10:07:58+01:00 A risk-based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice Bouchard, Colin Bracken, Cameron Dabin, Willy van Canneyt, Olivier Ridoux, Vincent Spitz, Jérôme Authier, Matthieu 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) Observatoire pour la Conservation de la Mégafaune Marine (PELAGIS) LIttoral ENvironnement et Sociétés (LIENSs) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) La Rochelle Université (ULR) Centre National de la Recherche Scientifique (CNRS) Bonneville Power Administration Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) ADERA The authors thank the French Ministry of Ecology (“Ministère de la Transition Ecologique et Solidaire”) for financial support 2019 https://hal.science/hal-02056885 https://hal.science/hal-02056885/document https://hal.science/hal-02056885/file/2019_Bouchard_ConservationLetters.pdf https://doi.org/10.1111/conl.12639 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1111/conl.12639 hal-02056885 https://hal.science/hal-02056885 https://hal.science/hal-02056885/document https://hal.science/hal-02056885/file/2019_Bouchard_ConservationLetters.pdf doi:10.1111/conl.12639 PRODINRA: 463562 WOS: 000482077700002 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1755-263X Conservation Letters https://hal.science/hal-02056885 Conservation Letters, 2019, 10 p. ⟨10.1111/conl.12639⟩ https://onlinelibrary.wiley.com/journal/1755263x marine mammal marine strategic framework directive mortality bycatch forecasting extreme value theory extreme event nature conservation cetacean mammifère marin cetace mortalité conservation [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2019 ftunivrochelle https://doi.org/10.1111/conl.12639 2024-01-23T23:35:16Z International audience Effective conservation requires monitoring and pro-active risk assessments.We studied the effects of at-sea mortality events (ASMEs) in marine mammals over two decades (1990–2012) and built a risk-based indicator for the European Union's Marine Strategy Framework Directive. Strandings of harbor porpoises (Phocoena phocoena), short-beaked common dolphins (Delphinus delphis), and striped dolphins (Stenella coeruleoalba) along French coastlines were analyzed using Extreme Value Theory (EVT). EVT operationalizes what is an extreme ASME, and allows the probabilistic forecasting of the expected maximum number of dead animals assuming constant pressures. For the period 2013–2018, we forecast the strandings of 80 harbor porpoises, 860 common dolphins, and 57 striped dolphins in extreme ASMEs. Comparison of these forecasts with observed strandings informs whether pressures are increasing, decreasing, or stable. Applying probabilistic methods to stranding data facilitates the building of risk-based indicators, required under the Marine Strategy Framework Directive, to monitor the effect of pressures on marine mammals. Article in Journal/Newspaper Phocoena phocoena HAL - Université de La Rochelle Conservation Letters 12 4 |
institution |
Open Polar |
collection |
HAL - Université de La Rochelle |
op_collection_id |
ftunivrochelle |
language |
English |
topic |
marine mammal marine strategic framework directive mortality bycatch forecasting extreme value theory extreme event nature conservation cetacean mammifère marin cetace mortalité conservation [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
marine mammal marine strategic framework directive mortality bycatch forecasting extreme value theory extreme event nature conservation cetacean mammifère marin cetace mortalité conservation [SDE.BE]Environmental Sciences/Biodiversity and Ecology Bouchard, Colin Bracken, Cameron Dabin, Willy van Canneyt, Olivier Ridoux, Vincent Spitz, Jérôme Authier, Matthieu A risk-based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice |
topic_facet |
marine mammal marine strategic framework directive mortality bycatch forecasting extreme value theory extreme event nature conservation cetacean mammifère marin cetace mortalité conservation [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
International audience Effective conservation requires monitoring and pro-active risk assessments.We studied the effects of at-sea mortality events (ASMEs) in marine mammals over two decades (1990–2012) and built a risk-based indicator for the European Union's Marine Strategy Framework Directive. Strandings of harbor porpoises (Phocoena phocoena), short-beaked common dolphins (Delphinus delphis), and striped dolphins (Stenella coeruleoalba) along French coastlines were analyzed using Extreme Value Theory (EVT). EVT operationalizes what is an extreme ASME, and allows the probabilistic forecasting of the expected maximum number of dead animals assuming constant pressures. For the period 2013–2018, we forecast the strandings of 80 harbor porpoises, 860 common dolphins, and 57 striped dolphins in extreme ASMEs. Comparison of these forecasts with observed strandings informs whether pressures are increasing, decreasing, or stable. Applying probabilistic methods to stranding data facilitates the building of risk-based indicators, required under the Marine Strategy Framework Directive, to monitor the effect of pressures on marine mammals. |
author2 |
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) Observatoire pour la Conservation de la Mégafaune Marine (PELAGIS) LIttoral ENvironnement et Sociétés (LIENSs) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) La Rochelle Université (ULR) Centre National de la Recherche Scientifique (CNRS) Bonneville Power Administration Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) ADERA The authors thank the French Ministry of Ecology (“Ministère de la Transition Ecologique et Solidaire”) for financial support |
format |
Article in Journal/Newspaper |
author |
Bouchard, Colin Bracken, Cameron Dabin, Willy van Canneyt, Olivier Ridoux, Vincent Spitz, Jérôme Authier, Matthieu |
author_facet |
Bouchard, Colin Bracken, Cameron Dabin, Willy van Canneyt, Olivier Ridoux, Vincent Spitz, Jérôme Authier, Matthieu |
author_sort |
Bouchard, Colin |
title |
A risk-based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice |
title_short |
A risk-based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice |
title_full |
A risk-based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice |
title_fullStr |
A risk-based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice |
title_full_unstemmed |
A risk-based forecast of extreme mortality events in small cetaceans: Using stranding data to inform conservation practice |
title_sort |
risk-based forecast of extreme mortality events in small cetaceans: using stranding data to inform conservation practice |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.science/hal-02056885 https://hal.science/hal-02056885/document https://hal.science/hal-02056885/file/2019_Bouchard_ConservationLetters.pdf https://doi.org/10.1111/conl.12639 |
genre |
Phocoena phocoena |
genre_facet |
Phocoena phocoena |
op_source |
ISSN: 1755-263X Conservation Letters https://hal.science/hal-02056885 Conservation Letters, 2019, 10 p. ⟨10.1111/conl.12639⟩ https://onlinelibrary.wiley.com/journal/1755263x |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/conl.12639 hal-02056885 https://hal.science/hal-02056885 https://hal.science/hal-02056885/document https://hal.science/hal-02056885/file/2019_Bouchard_ConservationLetters.pdf doi:10.1111/conl.12639 PRODINRA: 463562 WOS: 000482077700002 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1111/conl.12639 |
container_title |
Conservation Letters |
container_volume |
12 |
container_issue |
4 |
_version_ |
1790606850748579840 |