Affiliation:
1. Research Unit of Behavioural Ecology Ethology and Wildlife Management ‐ Department of Life Sciences ‐ University of Siena Via P.A. Mattioli 4 53100 Siena Italy
2. NBFC, National Biodiversity Future Center Palermo 90133 Italy
Abstract
AbstractThe use of species detection rates gathered from motion‐sensitive cameras as relative abundance indices (RAIs) could be a cost‐effective tool to monitor wildlife populations; however, validations based on comparisons with reference methods are necessary. We considered 3 ungulates, wild boar (Sus scrofa), roe deer (Capreolus capreolus), and fallow deer (Dama dama), and compared 2 different RAIs with independent indices of density obtained through feces counts across 3 summers (2019–2021) in a protected area of central Italy. We estimated the number of detections per day (RAIevents), and the number of individuals per day (RAIindividuals) from remote camera videos. Both indices were correlated with density estimates, yet only RAIindividuals correctly ranked interspecific densities. Values of RAIevents for the most abundant and gregarious ungulate (i.e., wild boar) were biased low and were lower than those of fallow deer. The uncertainty of RAIs was acceptable for the 2 most abundant study species (CVs ≤ 25%) but was greater for roe deer. At the intra‐specific level, density estimates and RAIs showed comparable but slight inter‐annual variation. Our results support the use of RAIs derived from motion‐sensitive cameras as a promising and cost‐effective tool to monitor ungulate populations, and researchers should incorporate group size into monitoring. We advocate the necessity of field tests based on comparison with locally reliable reference methods to validate the use of motion‐sensitive cameras.
Subject
Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics,Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics
Cited by
8 articles.
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