Estimating abundance and density of Amur tigers along the Sino- Russian border

作     者：Wenhong XIAO Limin FENG Pu MOU Dale GMIQUELLE Mark HEBBLEWHITE Joshua FGOLDBERG Hugh SROBINSON Xiaodan ZHAO Bo ZHOU Tianming WANG Jianping GE 

作者机构：State Key Laboratory of Earth Surface Processes and Resource EcologyMinistry of Education Key Laboratory for Biodiversity Science and Engineeringand College of Life SciencesBeijing Normal UniversityBeijingChina Wildlife Biology ProgramDepartment of Ecosystem and Conservation SciencesCollege of Forestry and ConservationUniversity of MontanaMissoulaMontanaUSA Wildlife Conservation SocietyBronxNew YorkUSA Department of EcologyFar Eastern Federal UniversityAyaksRusski IslandVladivostokRussia EvolutionEcology and Organismal Biology ProgramDepartment of BiologyUniversity of CaliforniaRiversideCaliforniaUSA PantheraNew YorkNYUSA 

出 版 物：《Integrative Zoology》 (整合动物学（英文版）)

年 卷 期：2016年第11卷第4期

页      面：322-332页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 0905[农学-畜牧学] 0906[农学-兽医学] 071002[理学-动物学] 

基　　金：supported by grants from the Natural Sci­ence Foundation of China(31270567,31210103911,31421063,31200410 and 31470566) the Nation­al Scientific and Technical Foundation Project of China(2012FY112000). 

主　　题：Amur tiger camera traps density individual identification spatial capture-recapture 

摘      要：As an apex predator the Amur tiger(Panthera tigris altaica)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 2013 and 2014 to estimate tiger density and abundance using both maximum likelihood and Bayesian spatially explicit capture-recapture(SECR)methods.A minimum of 8 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 11400 km2 state space,den­sity estimates were 0.33 and 0.40 individuals/100 km^(2) in 2013 and 2014,respectively,corresponding to an es­timated abundance of 38 and 45 animals for this transboundary Sino-Russian population.In a maximum likeli­hood framework,we estimated densities of 0.30 and 0.24 individuals/100 km^(2) 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.