Estimating forest antelope population densities using distance sampling with camera traps

A novel approach using distance sampling with camera traps has proven effective for accurately estimating population densities of forest antelopes, addressing the limitations of traditional transect surveys. The study, conducted in Dja Faunal Reserve, Cameroon, demonstrated that integrating an estimate of animal activity time into 24-hour camera-trap datasets mitigates negative bias in density estimates. Additionally, multiple covariate distance sampling with body weight as a covariate improved detection probabilities for rarer species, providing a robust tool for monitoring both individual and community-level antelope populations. This method offers critical insights for conservation planning and action, particularly in forest habitats where traditional survey techniques fall short.

Amin, R., Klair, H., Wacher, T., Ndjassi, C., Fowler, A., Olson, D., & Bruce, T. (2021). Estimating forest antelope population densities using distance sampling with camera traps. Oryx, 56(3), 345–351. https://doi.org/10.1017/s0030605320001209