Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling
Thapa, Arjun2,3; Wu, Ruidong4; Hu, Yibo3; Nie, Yonggang3; Singh, Paras B.2,3; Khatiwada, Janak R.1,2; Yan, Li3; Gu, Xiaodong5; Wei, Fuwen3
刊名ECOLOGY AND EVOLUTION
2018-11-01
卷号8期号:21页码:10542-10554
关键词habitat Himalaya predictive model red panda
ISSN号2045-7758
DOI10.1002/ece3.4526
产权排序4
文献子类Article
英文摘要An upsurge in anthropogenic impacts has hastened the decline of the red panda (Ailurus fulgens). The red panda is a global conservation icon, but holistic conservation management has been hampered by research being restricted to certain locations and population clusters. Building a comprehensive potential habitat map for the red panda is imperative to advance the conservation effort and ensure coordinated management across international boundaries. Here, we use occurrence records of both subspecies of red pandas from across their entire range to build a habitat model using the maximum entropy algorithm (MaxEnt 3.3.3k) and the least correlated bioclimatic variables. We found that the subspecies have separate climatic spaces dominated by temperature-associated variables in the eastern geographic distribution limit and precipitation-associated variables in the western distribution limit. Annual precipitation (BIO12) and maximum temperature in the warmest months (BIO5) were major predictors of habitat suitability for A. f. fulgens and A. f. styani, respectively. Our model predicted 134,975 km(2) of red panda habitat based on 10 percentile thresholds in China (62% of total predicted habitat), Nepal (15%), Myanmar (9%), Bhutan (9%), and India (5%). Existing protected areas (PAs) encompass 28% of red panda habitat, meaning the PA network is currently insufficient and alternative conservation mechanisms are needed to protect the habitat. Bhutan's PAs provide good coverage for the red panda habitat. Furthermore, large areas of habitat were predicted in cross-broader areas, and transboundary conservation will be necessary.
学科主题Environment ; Ecology
URL标识查看原文
WOS关键词LANGTANG NATIONAL-PARK ; SPECIES DISTRIBUTION ; AILURUS-FULGENS ; CLIMATE-CHANGE ; GIANT PANDAS ; MICROHABITAT SEPARATION ; SAMPLING BIAS ; CONSERVATION ; HABITAT ; SUITABILITY
WOS研究方向Environmental Sciences & Ecology ; Evolutionary Biology
语种英语
出版者WILEY
WOS记录号WOS:000450351400017
内容类型期刊论文
源URL[http://210.75.237.14/handle/351003/30127]  
专题食品安全与环境治理领域_中国科学院环境与应用微生物重点实验室
作者单位1.Chinese Acad Sci, Chengdu Inst Biol, Chengdu, Sichuan, Peoples R China;
2.Univ Chinese Acad Sci, Int Coll, Beijing, Peoples R China;
3.Chinese Acad Sci, Inst Zool, Key Lab Anim Ecol & Conservat Biol, Beijing, Peoples R China;
4.Yunnan Univ, Inst Int Rivers & Ecosecur, Kunming, Yunnan, Peoples R China;
5.Wildlife Conservat Div, Sichuan Forestry Dept, Chengdu, Sichuan, Peoples R China
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Thapa, Arjun,Wu, Ruidong,Hu, Yibo,et al. Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling[J]. ECOLOGY AND EVOLUTION,2018,8(21):10542-10554.
APA Thapa, Arjun.,Wu, Ruidong.,Hu, Yibo.,Nie, Yonggang.,Singh, Paras B..,...&Wei, Fuwen.(2018).Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling.ECOLOGY AND EVOLUTION,8(21),10542-10554.
MLA Thapa, Arjun,et al."Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling".ECOLOGY AND EVOLUTION 8.21(2018):10542-10554.
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