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Determining threatened species distributions in the face of limited data: Spatial conservation prioritization for the Chinese giant salamander (Andrias davidianus).
Chen, Shu; Cunningham, Andrew A; Wei, Gang; Yang, Jian; Liang, Zhiqiang; Wang, Jie; Wu, Minyao; Yan, Fang; Xiao, Hanbin; Harrison, Xavier A; Pettorelli, Nathalie; Turvey, Samuel T.
Affiliation
  • Chen S; Institute of Zoology Zoological Society of London London UK.
  • Cunningham AA; Institute of Zoology Zoological Society of London London UK.
  • Wei G; Guiyang University Guiyang Guizhou China.
  • Yang J; Guangxi Teachers Education University Nanning Guangxi China.
  • Liang Z; Fisheries Research Institute of Hunan Province Changsha Hunan China.
  • Wang J; Chengdu Institute of Biology Chinese Academy of Sciences Chengdu Sichuan China.
  • Wu M; Shaanxi Normal University Xi'an Shaanxi China.
  • Yan F; Kunming Institute of Zoology Chinese Academy of Sciences Kunming Yunnan China.
  • Xiao H; Yangtze River Fisheries Research Institute Chinese Academy of Fisheries Science Wuhan Hubei China.
  • Harrison XA; Institute of Zoology Zoological Society of London London UK.
  • Pettorelli N; Institute of Zoology Zoological Society of London London UK.
  • Turvey ST; Institute of Zoology Zoological Society of London London UK.
Ecol Evol ; 8(6): 3098-3108, 2018 03.
Article in En | MEDLINE | ID: mdl-29607009
ABSTRACT
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research Language: En Journal: Ecol Evol Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Qualitative_research Language: En Journal: Ecol Evol Year: 2018 Document type: Article