Integrating opportunistic and structured non-invasive surveys with spatial capture-recapture models to map connectivity of the Pyrenean brown bear population
International audience Connectivity, in the sense of the persistence of movements between habitat patches, is key to maintain endangered populations and has to be evaluated in management plans. In practice, connectivity is difficult to quantify especially for rare and elusive species. Here, we use s...
Published in: | Biological Conservation |
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Main Authors: | , , , , , , , , , |
Other Authors: | , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2023
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Subjects: | |
Online Access: | https://hal.science/hal-03973407 https://doi.org/10.1016/j.biocon.2022.109875 |
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ftofficefbiodive:oai:HAL:hal-03973407v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Portail HAL OFB (Office français de la biodiversité) |
op_collection_id |
ftofficefbiodive |
language |
English |
topic |
Fragmentation Functional connectivity Large carnivore Non-invasive genetic sampling Ursus arctos Road network [SDE]Environmental Sciences |
spellingShingle |
Fragmentation Functional connectivity Large carnivore Non-invasive genetic sampling Ursus arctos Road network [SDE]Environmental Sciences Kervellec, Maëlis Milleret, Cyril Vanpé, Cécile Quenette, Pierre-Yves Sentilles, Jérôme Palazón, Santiago Jordana, Ivan Afonso Jato, Ramón Elósegui Irurtia, Miguel Mari Gimenez, Olivier Integrating opportunistic and structured non-invasive surveys with spatial capture-recapture models to map connectivity of the Pyrenean brown bear population |
topic_facet |
Fragmentation Functional connectivity Large carnivore Non-invasive genetic sampling Ursus arctos Road network [SDE]Environmental Sciences |
description |
International audience Connectivity, in the sense of the persistence of movements between habitat patches, is key to maintain endangered populations and has to be evaluated in management plans. In practice, connectivity is difficult to quantify especially for rare and elusive species. Here, we use spatial capture-recapture (SCR) models with an ecological detection distance to identify barriers to movement. We focused on the transnational critically endangered Pyrenean brown bear (Ursus arctos) population, which is distributed over Spain, France and Andorra and is divided into two main cores areas following translocations. We integrate structured monitoring from camera traps and hair snags with opportunistic data gathered after depredation events. While structured monitoring focuses on areas of regular bear presence, the integration of opportunistic data allows us to obtain information in a wider range of habitat, which is especially important for ecological inference. By estimating a resistance parameter from encounter data, we show that the road network impedes movements, leading to smaller home ranges with increasing road density. Although the quantitative effect of roads is context-dependent (i.e. varying according to landscape configuration), our model predicts that a brown bear with a home range located in an area with relatively high road density (8.29 km/km2) has a home range size reduced by 1.4-fold for males and 1.6-fold for females compared to a brown bear with a home range located in an area with low road density (1.38 km/km2). When assessing connectivity, spatial capture-recapture modeling offers an alternative to the use of experts’ opinion when telemetry data are not available. |
author2 |
Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier 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 Montpellier (UM) Norwegian University of Life Sciences (NMBU) Service conservation et gestion des espèces à enjeux (OFB SEE) Direction de la recherche et de l’appui scientifique (OFB - DRAS) Office français de la biodiversité (OFB)-Office français de la biodiversité (OFB) Generalitat de Catalunya Gobierno de Navarra (SPAIN) Financial and logistical support for this study was provided by the ONCFS and OFB-DRAS-SEE in France. ANR-16-CE02-0007,DEMOCOM,Effets de la gestion et du climat sur la dynamique des communautés - Développement d'une démographie multi-espèce.(2016) |
format |
Article in Journal/Newspaper |
author |
Kervellec, Maëlis Milleret, Cyril Vanpé, Cécile Quenette, Pierre-Yves Sentilles, Jérôme Palazón, Santiago Jordana, Ivan Afonso Jato, Ramón Elósegui Irurtia, Miguel Mari Gimenez, Olivier |
author_facet |
Kervellec, Maëlis Milleret, Cyril Vanpé, Cécile Quenette, Pierre-Yves Sentilles, Jérôme Palazón, Santiago Jordana, Ivan Afonso Jato, Ramón Elósegui Irurtia, Miguel Mari Gimenez, Olivier |
author_sort |
Kervellec, Maëlis |
title |
Integrating opportunistic and structured non-invasive surveys with spatial capture-recapture models to map connectivity of the Pyrenean brown bear population |
title_short |
Integrating opportunistic and structured non-invasive surveys with spatial capture-recapture models to map connectivity of the Pyrenean brown bear population |
title_full |
Integrating opportunistic and structured non-invasive surveys with spatial capture-recapture models to map connectivity of the Pyrenean brown bear population |
title_fullStr |
Integrating opportunistic and structured non-invasive surveys with spatial capture-recapture models to map connectivity of the Pyrenean brown bear population |
title_full_unstemmed |
Integrating opportunistic and structured non-invasive surveys with spatial capture-recapture models to map connectivity of the Pyrenean brown bear population |
title_sort |
integrating opportunistic and structured non-invasive surveys with spatial capture-recapture models to map connectivity of the pyrenean brown bear population |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.science/hal-03973407 https://doi.org/10.1016/j.biocon.2022.109875 |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_source |
ISSN: 0006-3207 Biological Conservation https://hal.science/hal-03973407 Biological Conservation, 2023, 278, pp.109875. ⟨10.1016/j.biocon.2022.109875⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biocon.2022.109875 hal-03973407 https://hal.science/hal-03973407 doi:10.1016/j.biocon.2022.109875 |
op_doi |
https://doi.org/10.1016/j.biocon.2022.109875 |
container_title |
Biological Conservation |
container_volume |
278 |
container_start_page |
109875 |
_version_ |
1788066159686320128 |
spelling |
ftofficefbiodive:oai:HAL:hal-03973407v1 2024-01-14T10:11:15+01:00 Integrating opportunistic and structured non-invasive surveys with spatial capture-recapture models to map connectivity of the Pyrenean brown bear population Kervellec, Maëlis Milleret, Cyril Vanpé, Cécile Quenette, Pierre-Yves Sentilles, Jérôme Palazón, Santiago Jordana, Ivan Afonso Jato, Ramón Elósegui Irurtia, Miguel Mari Gimenez, Olivier Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier 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 Montpellier (UM) Norwegian University of Life Sciences (NMBU) Service conservation et gestion des espèces à enjeux (OFB SEE) Direction de la recherche et de l’appui scientifique (OFB - DRAS) Office français de la biodiversité (OFB)-Office français de la biodiversité (OFB) Generalitat de Catalunya Gobierno de Navarra (SPAIN) Financial and logistical support for this study was provided by the ONCFS and OFB-DRAS-SEE in France. ANR-16-CE02-0007,DEMOCOM,Effets de la gestion et du climat sur la dynamique des communautés - Développement d'une démographie multi-espèce.(2016) 2023-02 https://hal.science/hal-03973407 https://doi.org/10.1016/j.biocon.2022.109875 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biocon.2022.109875 hal-03973407 https://hal.science/hal-03973407 doi:10.1016/j.biocon.2022.109875 ISSN: 0006-3207 Biological Conservation https://hal.science/hal-03973407 Biological Conservation, 2023, 278, pp.109875. ⟨10.1016/j.biocon.2022.109875⟩ Fragmentation Functional connectivity Large carnivore Non-invasive genetic sampling Ursus arctos Road network [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2023 ftofficefbiodive https://doi.org/10.1016/j.biocon.2022.109875 2023-12-16T22:27:43Z International audience Connectivity, in the sense of the persistence of movements between habitat patches, is key to maintain endangered populations and has to be evaluated in management plans. In practice, connectivity is difficult to quantify especially for rare and elusive species. Here, we use spatial capture-recapture (SCR) models with an ecological detection distance to identify barriers to movement. We focused on the transnational critically endangered Pyrenean brown bear (Ursus arctos) population, which is distributed over Spain, France and Andorra and is divided into two main cores areas following translocations. We integrate structured monitoring from camera traps and hair snags with opportunistic data gathered after depredation events. While structured monitoring focuses on areas of regular bear presence, the integration of opportunistic data allows us to obtain information in a wider range of habitat, which is especially important for ecological inference. By estimating a resistance parameter from encounter data, we show that the road network impedes movements, leading to smaller home ranges with increasing road density. Although the quantitative effect of roads is context-dependent (i.e. varying according to landscape configuration), our model predicts that a brown bear with a home range located in an area with relatively high road density (8.29 km/km2) has a home range size reduced by 1.4-fold for males and 1.6-fold for females compared to a brown bear with a home range located in an area with low road density (1.38 km/km2). When assessing connectivity, spatial capture-recapture modeling offers an alternative to the use of experts’ opinion when telemetry data are not available. Article in Journal/Newspaper Ursus arctos Portail HAL OFB (Office français de la biodiversité) Biological Conservation 278 109875 |