Use of ambiguous detections to improve estimates from species distribution models
International audience As large carnivores recover throughout Europe, there is a need to study their distribution to determine their conservation status and assess the potential for conflicts with human activities. However, efficient monitoring of many large carnivore species is challenging due to t...
Published in: | Conservation Biology |
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Online Access: | https://hal.archives-ouvertes.fr/hal-03502432 https://hal.archives-ouvertes.fr/hal-03502432/document https://hal.archives-ouvertes.fr/hal-03502432/file/MSLouvrier_ConBio__minor_comments.pdf https://doi.org/10.1111/cobi.13191 |
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ftccsdartic:oai:HAL:hal-03502432v1 2023-05-15T18:50:29+02:00 Use of ambiguous detections to improve estimates from species distribution models Louvrier, Julie Molinari‐jobin, Anja Kéry, Marc Chambert, Thierry Miller, David Zimmermann, Fridolin Marboutin, Eric Molinari, Paolo Müeller, Oliver Černe, Rok Gimenez, Olivier Centre National de la Recherche Scientifique (CNRS) 2018-09-27 https://hal.archives-ouvertes.fr/hal-03502432 https://hal.archives-ouvertes.fr/hal-03502432/document https://hal.archives-ouvertes.fr/hal-03502432/file/MSLouvrier_ConBio__minor_comments.pdf https://doi.org/10.1111/cobi.13191 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1111/cobi.13191 hal-03502432 https://hal.archives-ouvertes.fr/hal-03502432 https://hal.archives-ouvertes.fr/hal-03502432/document https://hal.archives-ouvertes.fr/hal-03502432/file/MSLouvrier_ConBio__minor_comments.pdf doi:10.1111/cobi.13191 info:eu-repo/semantics/OpenAccess ISSN: 0888-8892 EISSN: 1523-1739 Conservation Biology https://hal.archives-ouvertes.fr/hal-03502432 Conservation Biology, Wiley, 2018, 33, pp.185 - 195. ⟨10.1111/cobi.13191⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2018 ftccsdartic https://doi.org/10.1111/cobi.13191 2022-01-08T23:28:23Z International audience As large carnivores recover throughout Europe, there is a need to study their distribution to determine their conservation status and assess the potential for conflicts with human activities. However, efficient monitoring of many large carnivore species is challenging due to their rarity, elusive behavior and large home range size. In Europe, most current monitoring protocols rely on multiple detection methods, which can include opportunistic sightings from citizens in addition to designed surveys. Two types of detection errors may occur in such monitoring schemes; false negatives and false positives. When not accounted for, both can bias estimates from species distribution models (SDMs). False negative detections can be accounted for in SDMs that deal with imperfect detection. In contrast, false positive detections, due to species misidentification, have only rarely been accounted for in SDMs. Generally, researchers use ad hoc methods to avoid false positives through data filtering to discard ambiguous observations prior to analysis. These practices may discard valuable ecological information on the distribution of a species. Here, we investigated the costs and benefits of including data types that might include false positives rather than discard them for SDMs of large carnivores. We showcase a dynamic occupancy model that simultaneously accounts for false negatives and positives to jointly analyze data that include both unambiguous detections and ambiguous detections. Using simulations, we show that the addition of ambiguous detections increases the precision of parameter estimates. The analysis of data on the Eurasian lynx (Lynx lynx) suggested that incorporating ambiguous detections produced more precise estimates of the ecological parameters and revealed additional occupied sites in areas where the species is likely expanding. Overall, our work shows that ambiguous data should be considered when studying the distribution of large carnivores, through the use of dynamic occupancy ... Article in Journal/Newspaper Lynx Lynx lynx lynx Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Conservation Biology 33 1 185 195 |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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ftccsdartic |
language |
English |
topic |
[SDE]Environmental Sciences |
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[SDE]Environmental Sciences Louvrier, Julie Molinari‐jobin, Anja Kéry, Marc Chambert, Thierry Miller, David Zimmermann, Fridolin Marboutin, Eric Molinari, Paolo Müeller, Oliver Černe, Rok Gimenez, Olivier Use of ambiguous detections to improve estimates from species distribution models |
topic_facet |
[SDE]Environmental Sciences |
description |
International audience As large carnivores recover throughout Europe, there is a need to study their distribution to determine their conservation status and assess the potential for conflicts with human activities. However, efficient monitoring of many large carnivore species is challenging due to their rarity, elusive behavior and large home range size. In Europe, most current monitoring protocols rely on multiple detection methods, which can include opportunistic sightings from citizens in addition to designed surveys. Two types of detection errors may occur in such monitoring schemes; false negatives and false positives. When not accounted for, both can bias estimates from species distribution models (SDMs). False negative detections can be accounted for in SDMs that deal with imperfect detection. In contrast, false positive detections, due to species misidentification, have only rarely been accounted for in SDMs. Generally, researchers use ad hoc methods to avoid false positives through data filtering to discard ambiguous observations prior to analysis. These practices may discard valuable ecological information on the distribution of a species. Here, we investigated the costs and benefits of including data types that might include false positives rather than discard them for SDMs of large carnivores. We showcase a dynamic occupancy model that simultaneously accounts for false negatives and positives to jointly analyze data that include both unambiguous detections and ambiguous detections. Using simulations, we show that the addition of ambiguous detections increases the precision of parameter estimates. The analysis of data on the Eurasian lynx (Lynx lynx) suggested that incorporating ambiguous detections produced more precise estimates of the ecological parameters and revealed additional occupied sites in areas where the species is likely expanding. Overall, our work shows that ambiguous data should be considered when studying the distribution of large carnivores, through the use of dynamic occupancy ... |
author2 |
Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Louvrier, Julie Molinari‐jobin, Anja Kéry, Marc Chambert, Thierry Miller, David Zimmermann, Fridolin Marboutin, Eric Molinari, Paolo Müeller, Oliver Černe, Rok Gimenez, Olivier |
author_facet |
Louvrier, Julie Molinari‐jobin, Anja Kéry, Marc Chambert, Thierry Miller, David Zimmermann, Fridolin Marboutin, Eric Molinari, Paolo Müeller, Oliver Černe, Rok Gimenez, Olivier |
author_sort |
Louvrier, Julie |
title |
Use of ambiguous detections to improve estimates from species distribution models |
title_short |
Use of ambiguous detections to improve estimates from species distribution models |
title_full |
Use of ambiguous detections to improve estimates from species distribution models |
title_fullStr |
Use of ambiguous detections to improve estimates from species distribution models |
title_full_unstemmed |
Use of ambiguous detections to improve estimates from species distribution models |
title_sort |
use of ambiguous detections to improve estimates from species distribution models |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://hal.archives-ouvertes.fr/hal-03502432 https://hal.archives-ouvertes.fr/hal-03502432/document https://hal.archives-ouvertes.fr/hal-03502432/file/MSLouvrier_ConBio__minor_comments.pdf https://doi.org/10.1111/cobi.13191 |
genre |
Lynx Lynx lynx lynx |
genre_facet |
Lynx Lynx lynx lynx |
op_source |
ISSN: 0888-8892 EISSN: 1523-1739 Conservation Biology https://hal.archives-ouvertes.fr/hal-03502432 Conservation Biology, Wiley, 2018, 33, pp.185 - 195. ⟨10.1111/cobi.13191⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/cobi.13191 hal-03502432 https://hal.archives-ouvertes.fr/hal-03502432 https://hal.archives-ouvertes.fr/hal-03502432/document https://hal.archives-ouvertes.fr/hal-03502432/file/MSLouvrier_ConBio__minor_comments.pdf doi:10.1111/cobi.13191 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1111/cobi.13191 |
container_title |
Conservation Biology |
container_volume |
33 |
container_issue |
1 |
container_start_page |
185 |
op_container_end_page |
195 |
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1766244206308753408 |