Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data
International audience While large carnivores are recovering in Europe, assessing their distributions can help to predict and mitigate conflicts with human activities. Because they are highly mobile, elusive and live at very low density, modeling their distributions presents several challenges due t...
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ftunmontpellier3:oai:HAL:hal-01997206v1 2024-05-19T07:38:45+00:00 Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data Louvrier, Julie Duchamp, Christophe Lauret, Valentin Marboutin, Eric Cubaynes, Sarah Choquet, Rémi Miquel, Christian Gimenez, Olivier, O. Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) Office National de la Chasse et de la Faune Sauvage, CNERA Prédateurs Animaux déprédateurs Mécanismes moléculaires dans les démences neurodégénératives (MMDN) École Pratique des Hautes Études (EPHE) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM) Laboratoire d'Ecologie Alpine (LECA ) Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) 2018-04 https://hal.science/hal-01997206 https://doi.org/10.1111/ecog.02874 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1111/ecog.02874 hal-01997206 https://hal.science/hal-01997206 doi:10.1111/ecog.02874 EISSN: 1600-0587 Ecography https://hal.science/hal-01997206 Ecography, 2018, 41 (4), pp.647-660. ⟨10.1111/ecog.02874⟩ [SDV.BA]Life Sciences [q-bio]/Animal biology info:eu-repo/semantics/article Journal articles 2018 ftunmontpellier3 https://doi.org/10.1111/ecog.02874 2024-04-22T17:01:16Z International audience While large carnivores are recovering in Europe, assessing their distributions can help to predict and mitigate conflicts with human activities. Because they are highly mobile, elusive and live at very low density, modeling their distributions presents several challenges due to 1) their imperfect detectability, 2) their dynamic ranges over time and 3) their monitoring at large scales consisting mainly of opportunistic data without a formal measure of the sampling effort.Here, we focused on wolves Canis lupus that have been recolonizing France since the early 1990s. We evaluated the sampling effort a posteriori as the number of observers present per year in a cell based on their location and professional activities. We then assessed wolf range dynamics from 1994 to 2016, while accounting for species imperfect detection and time‐ and space‐varying sampling effort using dynamic site‐occupancy models.Ignoring the effect of sampling effort on species detectability led to underestimating the number of occupied sites by more than 50% on average. Colonization appeared to be negatively influenced by the proportion of a site with an altitude higher than 2500 m and positively influenced by the number of observed occupied sites at short and long‐distances, forest cover, farmland cover and mean altitude. The expansion rate, defined as the number of occupied sites in a given year divided by the number of occupied sites in the previous year, decreased over the first years of the study, then remained stable from 2000 to 2016. Our work shows that opportunistic data can be analyzed with species distribution models that control for imperfect detection, pending a quantification of sampling effort. Our approach has the potential for being used by decision‐makers to target sites where large carnivores are likely to occur and mitigate conflicts. Article in Journal/Newspaper Canis lupus HAL Portal Paul-Valéry University Montpellier 3 Ecography 41 4 647 660 |
institution |
Open Polar |
collection |
HAL Portal Paul-Valéry University Montpellier 3 |
op_collection_id |
ftunmontpellier3 |
language |
English |
topic |
[SDV.BA]Life Sciences [q-bio]/Animal biology |
spellingShingle |
[SDV.BA]Life Sciences [q-bio]/Animal biology Louvrier, Julie Duchamp, Christophe Lauret, Valentin Marboutin, Eric Cubaynes, Sarah Choquet, Rémi Miquel, Christian Gimenez, Olivier, O. Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data |
topic_facet |
[SDV.BA]Life Sciences [q-bio]/Animal biology |
description |
International audience While large carnivores are recovering in Europe, assessing their distributions can help to predict and mitigate conflicts with human activities. Because they are highly mobile, elusive and live at very low density, modeling their distributions presents several challenges due to 1) their imperfect detectability, 2) their dynamic ranges over time and 3) their monitoring at large scales consisting mainly of opportunistic data without a formal measure of the sampling effort.Here, we focused on wolves Canis lupus that have been recolonizing France since the early 1990s. We evaluated the sampling effort a posteriori as the number of observers present per year in a cell based on their location and professional activities. We then assessed wolf range dynamics from 1994 to 2016, while accounting for species imperfect detection and time‐ and space‐varying sampling effort using dynamic site‐occupancy models.Ignoring the effect of sampling effort on species detectability led to underestimating the number of occupied sites by more than 50% on average. Colonization appeared to be negatively influenced by the proportion of a site with an altitude higher than 2500 m and positively influenced by the number of observed occupied sites at short and long‐distances, forest cover, farmland cover and mean altitude. The expansion rate, defined as the number of occupied sites in a given year divided by the number of occupied sites in the previous year, decreased over the first years of the study, then remained stable from 2000 to 2016. Our work shows that opportunistic data can be analyzed with species distribution models that control for imperfect detection, pending a quantification of sampling effort. Our approach has the potential for being used by decision‐makers to target sites where large carnivores are likely to occur and mitigate conflicts. |
author2 |
Centre d’Ecologie Fonctionnelle et Evolutive (CEFE) Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) Office National de la Chasse et de la Faune Sauvage, CNERA Prédateurs Animaux déprédateurs Mécanismes moléculaires dans les démences neurodégénératives (MMDN) École Pratique des Hautes Études (EPHE) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM) Laboratoire d'Ecologie Alpine (LECA ) Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) |
format |
Article in Journal/Newspaper |
author |
Louvrier, Julie Duchamp, Christophe Lauret, Valentin Marboutin, Eric Cubaynes, Sarah Choquet, Rémi Miquel, Christian Gimenez, Olivier, O. |
author_facet |
Louvrier, Julie Duchamp, Christophe Lauret, Valentin Marboutin, Eric Cubaynes, Sarah Choquet, Rémi Miquel, Christian Gimenez, Olivier, O. |
author_sort |
Louvrier, Julie |
title |
Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data |
title_short |
Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data |
title_full |
Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data |
title_fullStr |
Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data |
title_full_unstemmed |
Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data |
title_sort |
mapping and explaining wolf recolonization in france using dynamic occupancy models and opportunistic data |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://hal.science/hal-01997206 https://doi.org/10.1111/ecog.02874 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_source |
EISSN: 1600-0587 Ecography https://hal.science/hal-01997206 Ecography, 2018, 41 (4), pp.647-660. ⟨10.1111/ecog.02874⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/ecog.02874 hal-01997206 https://hal.science/hal-01997206 doi:10.1111/ecog.02874 |
op_doi |
https://doi.org/10.1111/ecog.02874 |
container_title |
Ecography |
container_volume |
41 |
container_issue |
4 |
container_start_page |
647 |
op_container_end_page |
660 |
_version_ |
1799478243607183360 |