Towards a reliable assessment of Asian elephant population parameters: the application of photographic spatial capture–recapture sampling in a priority floodplain ecosystem

The hitherto difficult task of reliably estimating populations of wide-ranging megafauna has been enabled by advances in capture–recapture methodology. Here we combine photographic sampling with a Bayesian spatially-explicit capture–recapture (SCR) model to estimate population parameters for the end...

Full description

Saved in:
Bibliographic Details
Published inScientific reports Vol. 9; no. 1; p. 8578
Main Authors Goswami, Varun R., Yadava, Mahendra K., Vasudev, Divya, Prasad, Parvathi K., Sharma, Pragyan, Jathanna, Devcharan
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 12.06.2019
Nature Publishing Group
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The hitherto difficult task of reliably estimating populations of wide-ranging megafauna has been enabled by advances in capture–recapture methodology. Here we combine photographic sampling with a Bayesian spatially-explicit capture–recapture (SCR) model to estimate population parameters for the endangered Asian elephant Elephas maximus in the productive floodplain ecosystem of Kaziranga National Park, India. Posterior density estimates of herd-living adult females and sub-adult males and females (herd-adults) was 0.68 elephants/km 2 (95% Credible Intervals, CrI = 0.56−0.81) while that of adult males was 0.24 elephants/km 2 (95% CrI = 0.18−0.30), with posterior density estimates highlighting spatial heterogeneity in elephant distribution. Estimates of the space-usage parameter suggested that herd-adults ( σ ˆ H A  = 5.91 km, 95% CrI = 5.18–6.81) moved around considerably more than adult males ( σ ˆ A M  = 3.64 km, 95% CrI = 3.09–4.34). Based on elephant movement and age–sex composition, we derived the population that contributed individuals sampled in Kaziranga to be 908 herd-adults, 228 adult males and 610 young (density = 0.46 young/km 2 , SD = 0.06). Our study demonstrates how SCR is suited to estimating geographically open populations, characterising spatial heterogeneity in fine-scale density, and facilitating reliable monitoring to assess population status and dynamics for science and conservation.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-019-44795-y