Unusual Suspects: Detection Probability Covaries With Vegetation Productivity and Rainfall for Camera Survey of African Leopards (Panthera pardus pardus)

ABSTRACT Maximizing detection probability of elusive species enhances the robustness of population and occupancy estimates, which are essential for supporting impactful conservation strategies. Although the number of camera trap studies on leopards is increasing, few have assessed the drivers influe...

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Main Authors: Beatrice Chataigner, Nicholas W. Pilfold, Laiyon Lenguya, Aurélien G. Besnard, Olivier Gimenez
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Ecology and Evolution
Subjects:
Online Access:https://doi.org/10.1002/ece3.71346
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author Beatrice Chataigner
Nicholas W. Pilfold
Laiyon Lenguya
Aurélien G. Besnard
Olivier Gimenez
author_facet Beatrice Chataigner
Nicholas W. Pilfold
Laiyon Lenguya
Aurélien G. Besnard
Olivier Gimenez
author_sort Beatrice Chataigner
collection DOAJ
description ABSTRACT Maximizing detection probability of elusive species enhances the robustness of population and occupancy estimates, which are essential for supporting impactful conservation strategies. Although the number of camera trap studies on leopards is increasing, few have assessed the drivers influencing leopard detection specifically. We used occupancy modeling embedded in a causal inference framework to provide four biologically robust site use models against which to test the influence of six factors likely influencing leopard detectability at the level of encounter probability, trigger probability, and image quality. In this study, vegetation productivity moderated by rainfall was the top predictor of leopard detectability associated with three of the four site use models. While optimizing detection probability improves estimates of population parameters, the cost‐effectiveness of the study designs is also an essential criterion to consider for long‐term monitoring of elusive species. Camera trap placement involves minimal cost in the early stages of the grid design. Our results suggest that setting cameras in microhabitats of moderate productivity improved leopard detectability in the wet season. This study can inform the design of camera trap studies occurring in semi‐arid bushland ecosystems to improve estimates of leopard population and occupancy.
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issn 2045-7758
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publishDate 2025-05-01
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series Ecology and Evolution
spelling doaj-art-e9917bf311b447978890bb9b9a5768da2025-08-20T03:10:09ZengWileyEcology and Evolution2045-77582025-05-01155n/an/a10.1002/ece3.71346Unusual Suspects: Detection Probability Covaries With Vegetation Productivity and Rainfall for Camera Survey of African Leopards (Panthera pardus pardus)Beatrice Chataigner0Nicholas W. Pilfold1Laiyon Lenguya2Aurélien G. Besnard3Olivier Gimenez4CEFE, Univ Montpellier, CNRS EPHE‐PSL University, IRD Montpellier FranceSan Diego Zoo Wildlife Alliance San Diego California USALoisaba Conservancy Nanyuki KenyaCEFE, Univ Montpellier, CNRS EPHE‐PSL University, IRD Montpellier FranceCEFE, Univ Montpellier, CNRS, EPHE, IRD Montpellier FranceABSTRACT Maximizing detection probability of elusive species enhances the robustness of population and occupancy estimates, which are essential for supporting impactful conservation strategies. Although the number of camera trap studies on leopards is increasing, few have assessed the drivers influencing leopard detection specifically. We used occupancy modeling embedded in a causal inference framework to provide four biologically robust site use models against which to test the influence of six factors likely influencing leopard detectability at the level of encounter probability, trigger probability, and image quality. In this study, vegetation productivity moderated by rainfall was the top predictor of leopard detectability associated with three of the four site use models. While optimizing detection probability improves estimates of population parameters, the cost‐effectiveness of the study designs is also an essential criterion to consider for long‐term monitoring of elusive species. Camera trap placement involves minimal cost in the early stages of the grid design. Our results suggest that setting cameras in microhabitats of moderate productivity improved leopard detectability in the wet season. This study can inform the design of camera trap studies occurring in semi‐arid bushland ecosystems to improve estimates of leopard population and occupancy.https://doi.org/10.1002/ece3.71346African leopardcamera trappingcausal inferencedetection probabilityoccupancyPanthera pardus
spellingShingle Beatrice Chataigner
Nicholas W. Pilfold
Laiyon Lenguya
Aurélien G. Besnard
Olivier Gimenez
Unusual Suspects: Detection Probability Covaries With Vegetation Productivity and Rainfall for Camera Survey of African Leopards (Panthera pardus pardus)
Ecology and Evolution
African leopard
camera trapping
causal inference
detection probability
occupancy
Panthera pardus
title Unusual Suspects: Detection Probability Covaries With Vegetation Productivity and Rainfall for Camera Survey of African Leopards (Panthera pardus pardus)
title_full Unusual Suspects: Detection Probability Covaries With Vegetation Productivity and Rainfall for Camera Survey of African Leopards (Panthera pardus pardus)
title_fullStr Unusual Suspects: Detection Probability Covaries With Vegetation Productivity and Rainfall for Camera Survey of African Leopards (Panthera pardus pardus)
title_full_unstemmed Unusual Suspects: Detection Probability Covaries With Vegetation Productivity and Rainfall for Camera Survey of African Leopards (Panthera pardus pardus)
title_short Unusual Suspects: Detection Probability Covaries With Vegetation Productivity and Rainfall for Camera Survey of African Leopards (Panthera pardus pardus)
title_sort unusual suspects detection probability covaries with vegetation productivity and rainfall for camera survey of african leopards panthera pardus pardus
topic African leopard
camera trapping
causal inference
detection probability
occupancy
Panthera pardus
url https://doi.org/10.1002/ece3.71346
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