Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling
文献类型：期刊论文
| 作者 | Thapa, Arjun1,2; Wu, Ruidong5; Hu, Yibo2; Nie, Yonggang2; Singh, Paras B.1,2; Khatiwada, Janak R.1,4; Yan, Li2; Gu, Xiaodong3; Wei, Fuwen2 |
| 刊名 | ECOLOGY AND EVOLUTION
 |
| 出版日期 | 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 |
| DOI | 10.1002/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 |
| WOS记录号 | WOS:000450351400017 |
| 出版者 | WILEY |
| 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.Univ Chinese Acad Sci, Int Coll, Beijing, Peoples R China; 2.Chinese Acad Sci, Inst Zool, Key Lab Anim Ecol & Conservat Biol, Beijing, Peoples R China; 3.Wildlife Conservat Div, Sichuan Forestry Dept, Chengdu, Sichuan, Peoples R China 4.Chinese Acad Sci, Chengdu Inst Biol, Chengdu, Sichuan, Peoples R China; 5.Yunnan Univ, Inst Int Rivers & Ecosecur, Kunming, Yunnan, Peoples R China; |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：成都生物研究所
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