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Acoustic estimation of wildlife abundance: methodology for vocal mammals in forested habitats
Authors:Mya E. Thompson  Steven J. Schwager  Katharine B. Payne  Andrea K. Turkalo
Affiliation:1. Bioacoustics Research Program, Cornell Laboratory of Ornithology, Cornell University, 159 Sapsucker Woods Road, Ithaca, NY, 14850, U.S.A.;2. Department of Biological Statistics and Computational Biology, Cornell University, Comstock Hall, Ithaca, NY, 14853, U.S.A.;3. Wildlife Conservation Society, BP 1053, Bangui, Central African Republic
Abstract:
Habitat loss and hunting pressure threaten mammal populations worldwide, generating critical time constraints on trend assessment. This study introduces a new survey method that samples continuously and non‐invasively over long time periods, obtaining estimates of abundance from vocalization rates. We present feasibility assessment methods for acoustic surveys and develop equations for estimating population size. As an illustration, we demonstrate the feasibility of acoustic surveys for African forest elephants (Loxodonta africana cyclotis). Visual surveys and vocalizations from a forest clearing in the Central African Republic were used to establish that low‐frequency elephant calling rate is a useful index of elephant numbers (linear regression P < 0.001, radj.2 = 0.58). The effective sampling area was 3.22 km2 per acoustic sensor, a dramatic increase in coverage over dung survey transects. These results support the use of acoustic surveys for estimating elephant abundance over large remote areas and in diverse habitats, using a distributed network of acoustic sensors. The abundance estimation methods presented can be applied in surveys of any species for which an acoustic abundance index and detection function have been established. This acoustic survey technique provides an opportunity to improve management and conservation of many acoustically‐active taxa whose populations are currently under‐monitored.
Keywords:acoustic survey  African forest elephant
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