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Estimating forest antelope population densities using distance sampling with camera traps
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 habi...
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Published in: | Oryx 2022-05, Vol.56 (3), p.345-351 |
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creator | Amin, Rajan Klair, Hannah Wacher, Tim Ndjassi, Constant Fowler, Andrew Olson, David Bruce, Tom |
description | 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. |
doi_str_mv | 10.1017/S0030605320001209 |
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subjects | Animals Bias Body weight Cameras Endangered & extinct species Estimates Forests Habitats Mitochondrial DNA Polls & surveys Population density Sampling Sampling methods Species Terrestrial environments Ungulate conservation Wildlife conservation |
title | Estimating forest antelope population densities using distance sampling with camera traps |
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