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PMID: 32497053 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Population density and habitat use of two sympatric small cats in a central Indian reserve.

PloS one ·Vol. 15 ·No. 6 ·2020-00-00 ·页码 e0233569

Chatterjee N, Nigam P, Habib B

Abstract

Despite appreciable advances in carnivore ecology, studies on small cats remain limited with carnivore research in India being skewed towards large cats. Small cats are more specialized than their larger cousins in terms of resource selection. Studies on small cat population and habitat preference are critical to evaluate their status to ensure better management and conservation. We estimated abundance of two widespread small cats, the jungle cat, and the rusty-spotted cat, and investigated their habitat associations based on camera trap captures from a central Indian tiger reserve. We predicted fine-scale habitat segregation between these sympatric species as a driver of coexistence. We used an extension of the spatial count model in a Bayesian framework approach to estimate the population density of jungle cat and rusty-spotted cat and used generalized linear models to explore their habitat associations. Densities of rusty-spotted cat and jungle cat were estimated as 6.67 (95% CI 4.07-10.74) and 4.01 (95% CI 2.65-6.12) individuals/100 km2 respectively. Forest cover and evapotranspiration were positively associated with rusty-spotted cat occurrence whereas both factors had a significant negative relation with jungle cat occurrence. The results directed habitat segregation between these small cats with affinities of rusty-spotted cat and jungle cat towards well-forested and open scrubland areas respectively. Our estimates highlight the widespread applicability of this model for density estimation of species with no individual identification. Moreover, the study outcomes can aid in targeted management decisions and serve as the baseline for species conservation as these models allow robust population estimation of elusive species along with predicting their habitat preferences.

MeSH 主题词
Animals Bayes Theorem Cats Conservation of Natural Resources Ecology/methods Felidae/physiology Forests India Linear Models Movement/physiology Population Density Sympatry/physiology
作者与单位
共 3 位作者,点击展开单位 / ORCID
Chatterjee Nilanjan
Wildlife Institute of India, Dehradun, Uttarakhand, India.
Nigam Parag
Wildlife Institute of India, Dehradun, Uttarakhand, India.
Habib Bilal ORCID
Wildlife Institute of India, Dehradun, Uttarakhand, India.
Article Info
Journal
PloS one
Abbr.
PLoS One
ISSN
1932-6203
Published
2020-00-00
电子出版
2020-00-04
页码
e0233569
Language
English
Country/Region
United States
NLM ID
101285081
数据资源
figshare
10.6084/m9.figshare.12286517.v2
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