Estimating forest antelope population densities using distance sampling with camera traps. Issue 3 (26th May 2022)

• Record Type: Journal Article
• Authors: Amin, Rajan; Klair, Hannah; Wacher, Tim; Ndjassi, Constant; Fowler, Andrew; Olson, David; Bruce, Tom
• Is Part Of: Oryx. Volume 56:Issue 3(2022)
• Page Start: 345
• Page End: 351
• Publication Date: 2022-05-26
• Subjects: Abundance -- antelope -- camera trap -- Cameroon -- Central Africa -- distance sampling -- Dja Faunal Reserve -- forest; Wildlife conservation -- Periodicals; Nature conservation -- Periodicals; 639.9
• DOI: 10.1017/S0030605320001209
• Languages: English
• ISSNs: 0030-6053

Abstract

Abstract: Traditional transect survey methods for forest antelopes often underestimate density for common species and do not provide sufficient data for rarer species. The use of camera trapping as a survey tool for medium and large terrestrial mammals has become increasingly common, especially in forest habitats. Here, we applied the distance sampling method to images generated from camera-trap surveys in Dja Faunal Reserve, Cameroon, and used an estimate of the proportion of time animals are active to correct for negative bias in the density estimates from the 24-hour camera-trap survey datasets. We also used multiple covariate distance sampling with body weight as a covariate to estimate detection probabilities and densities of rarer species. These methods provide an effective tool for monitoring the status of individual species or a community of forest antelope species, information urgently needed for conservation planning and action.