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Determining threatened species distributions in the face of limited data: Spatial conservation prioritization for the Chinese giant salamander (Andrias davidianus)

文献类型： 外文期刊

作者： Chen, Shu 1 ; Cunningham, Andrew A. 1 ; Wei, Gang 2 ; Yang, Jian 3 ; Liang, Zhiqiang 4 ; Wang, Jie 5 ; Wu, Minyao 6 ; Yan 1 ;

作者机构： 1.Zool Soc London, Inst Zool, London, England

2.Guiyang Univ, Guiyang, Guizhou, Peoples R China

3.Guangxi Teachers Educ Univ, Nanning, Peoples R China

4.Fisheries Res Inst Hunan Prov, Changsha, Hunan, Peoples R China

5.Chinese Acad Sci, Chengdu Inst Biol, Chengdu, Sichuan, Peoples R China

6.Shaanxi Normal Univ, Xian, Shaanxi, Peoples R China

7.Chinese Acad Sci, Kunming Inst Zool, Kunming, Yunnan, Peoples R China

8.Chinese Acad Fisheries Sci, Yangtze River Fisheries Res Inst, Wuhan, Hubei, Peoples R China

关键词： amphibian conservation; Cryptobranchidae; GIS; habitat suitability model; interview survey; local ecological knowledge

期刊名称：ECOLOGY AND EVOLUTION （ 影响因子：2.912； 五年影响因子：3.271 ）

ISSN： 2045-7758

年卷期： 2018 年 8 卷 6 期

页码：

收录情况： SCI

摘要： The purpose of this study was to determine whether limited occurrence data for highly threatened species can provide useful spatial information to inform conservation. The study was conducted across central and southern China. We developed a habitat suitability model for the Critically Endangered Chinese giant salamander (Andrias davidianus) based on one biotic and three abiotic parameters from single-site locality records, which represent the only relevant environmental data available for this species. We then validated model quality by testing whether increased percentage of predicted suitable habitat at the county level correlated with independent data on giant salamander presence. We randomly selected 48 counties containing historical records which were distinct from, and independent of, the single-site records used to develop the model, and 47 additional counties containing >50% predicted suitable habitat. We interviewed 2,812 respondents near potential giant salamander habitat across these counties and tested for differences in respondent giant salamander reports between counties selected using each method. Our model predicts that suitable giant salamander habitat is found widely across central and southern China, with counties containing 50% predicted suitable habitat distributed in 13 provinces. Counties with historical records contain significantly more predicted suitable habitat than counties without historical records. There are no statistical differences in any patterns of respondent giant salamander reports in surveyed counties selected from our model compared with the areas of known historical giant salamander distribution. A Chinese giant salamander habitat suitability model with strong predictive power can be derived from the restricted range of environmental variables associated with limited available presence-only occurrence records, constituting a cost-effective strategy to guide spatial allocation of conservation planning. Few reported sightings were recent, however, with most being over 20 years old, so that identification of areas of suitable habitat does not necessarily indicate continued survival of the species at these locations.

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