Abundance of rare and elusive species: Empirical investigation of closed versus spatially explicit capture-recapture models with lynx as a case study

International audience Effective conservation and management require reliable monitoring methods and estimates of abundance to prioritize human and financial investments. Camera trapping is a non-invasive sampling method allowing the use of capture-recapture (CR) models to estimate abundance while a...

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Bibliographic Details
Published in:The Journal of Wildlife Management
Main Authors: Blanc, Laetitia, Marboutin, Eric, Gatti, Sylvain, Gimenez, Olivier
Other Authors: Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2012
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-03499359
https://hal.archives-ouvertes.fr/hal-03499359/document
https://hal.archives-ouvertes.fr/hal-03499359/file/Main-Blancetal_review.pdf
https://doi.org/10.1002/jwmg.453
Description
Summary:International audience Effective conservation and management require reliable monitoring methods and estimates of abundance to prioritize human and financial investments. Camera trapping is a non-invasive sampling method allowing the use of capture-recapture (CR) models to estimate abundance while accounting for the difficulty of detecting individuals in the wild. We investigated the relative performance of standard closed CR models and spatially explicit CR models (SECR) that incorporate spatial information in the data. Using simulations, we considered 4 scenarios comparing low versus high detection probability and small versus large populations and contrasted abundance estimates obtained from both approaches. Standard CR and SECR models both provided minimally biased abundance estimates, but precision was improved when using SECR models. The associated confidence intervals also provided better coverage than their non-spatial counterpart. We concluded SECR models exhibit better statistical performance than standard closed CR models and allow for sound management strategies based on density maps of activity centers. To illustrate the comparison, we considered the Eurasian lynx (Lynx lynx) as a case study that provided the first abundance estimates of a local population in France.