Data from: Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data ...
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 i) their imperfect de...
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ftdatacite:10.5061/dryad.g9s1d 2024-02-04T09:59:28+01:00 Data from: 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 2017 https://dx.doi.org/10.5061/dryad.g9s1d https://datadryad.org/stash/dataset/doi:10.5061/dryad.g9s1d en eng Dryad https://dx.doi.org/10.1111/ecog.02874 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 occupancy model large carnivores opportunistic data 1994 - 2016 Canis lupus Dataset dataset 2017 ftdatacite https://doi.org/10.5061/dryad.g9s1d10.1111/ecog.02874 2024-01-05T01:14:15Z 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 i) their imperfect detectability, ii) their dynamic ranges over time and iii) 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 90’s. 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 ... : Historic of detections of wolves per site per yearThe rows of this matrix are the 3547 sites and the 23 columns are the 23 years from 1994 to 2016. For each line a 0 means that no detection occured and a 1 means that a detection occured.zst.RData ... Dataset Canis lupus DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
occupancy model large carnivores opportunistic data 1994 - 2016 Canis lupus |
spellingShingle |
occupancy model large carnivores opportunistic data 1994 - 2016 Canis lupus Louvrier, Julie Duchamp, Christophe Lauret, Valentin Marboutin, Eric Cubaynes, Sarah Choquet, Rémi Miquel, Christian Gimenez, Olivier Data from: Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data ... |
topic_facet |
occupancy model large carnivores opportunistic data 1994 - 2016 Canis lupus |
description |
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 i) their imperfect detectability, ii) their dynamic ranges over time and iii) 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 90’s. 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 ... : Historic of detections of wolves per site per yearThe rows of this matrix are the 3547 sites and the 23 columns are the 23 years from 1994 to 2016. For each line a 0 means that no detection occured and a 1 means that a detection occured.zst.RData ... |
format |
Dataset |
author |
Louvrier, Julie Duchamp, Christophe Lauret, Valentin Marboutin, Eric Cubaynes, Sarah Choquet, Rémi Miquel, Christian Gimenez, Olivier |
author_facet |
Louvrier, Julie Duchamp, Christophe Lauret, Valentin Marboutin, Eric Cubaynes, Sarah Choquet, Rémi Miquel, Christian Gimenez, Olivier |
author_sort |
Louvrier, Julie |
title |
Data from: Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data ... |
title_short |
Data from: Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data ... |
title_full |
Data from: Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data ... |
title_fullStr |
Data from: Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data ... |
title_full_unstemmed |
Data from: Mapping and explaining wolf recolonization in France using dynamic occupancy models and opportunistic data ... |
title_sort |
data from: mapping and explaining wolf recolonization in france using dynamic occupancy models and opportunistic data ... |
publisher |
Dryad |
publishDate |
2017 |
url |
https://dx.doi.org/10.5061/dryad.g9s1d https://datadryad.org/stash/dataset/doi:10.5061/dryad.g9s1d |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_relation |
https://dx.doi.org/10.1111/ecog.02874 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.g9s1d10.1111/ecog.02874 |
_version_ |
1789964294459228160 |