Title
Estimating abundance and density of Amur tigers along the Sino-Russian border
Author(s)
Xiao, Wenhong;Feng, Limin;Mou, Pu;Miquelle, Dale G.;Hebblewhite, Mark;Goldberg, Joshua F.;Robinson, Hugh S.;Zhao, Xiaodan;Zhou, Bo;Wang, Tianming;Ge, Jianping
Published
2016
Publisher
Integrative Zoology
Abstract
As an apex predator the Amur tiger (Panthera tigris altaica Temminck, 1844) could play a pivotal role in maintaining the integrity of forest ecosystems in Northeast Asia. Due to habitat loss and harvest over the past century, tigers rapidly declined in China and are now restricted to the Russian Far East and bordering habitat in nearby China. To facilitate restoration of the tiger in its historical range, reliable estimates of population size are essential to assess effectiveness of conservation interventions. Here we used camera trap data collected in Hunchun National Nature Reserve from April to June of 2013 and 2014 to estimate tiger density and abundance using both maximum likelihood and Bayesian spatially explicit capture-recapture (SECR) methods. A minimum of eight individuals were detected in both sample periods and the documentation of marking behavior and reproduction suggests the presence of a resident population. Using Bayesian SECR modeling within the 11,400 km2 state space, density estimates were 0.33 and 0.40 individuals/100 km2 in 2013 and 2014, respectively, corresponding to an estimated abundance of 38 and 45 animals for this transboundary Sino-Russia population. In a maximum likelihood framework, we estimated densities of 0.30 and 0.24 individuals/100 km2 corresponding to abundances of 34 and 27, in 2013 and 2014, respectively. These density estimates are comparable to other published estimates for resident Amur tiger populations in the Russian Far East. This study reveals promising signs of tiger recovery in Northeast China, and demonstrates the importance of connectivity between the Russian and Chinese populations for recovering tigers in Northeast China. This article is protected by copyright. All rights reserved
Keywords
Amur tiger;camera traps;spatial capture−recapture;density;individual identification
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