26
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Quantifying landscape linkages among giant panda subpopulations in regional scale conservation.

      Integrative zoology
      Animals, China, Conservation of Natural Resources, methods, Demography, Ecosystem, Endangered Species, Geographic Mapping, Models, Theoretical, Population Dynamics, Ursidae, physiology

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Understanding habitat requirements and identifying landscape linkages are essential for the survival of isolated populations of endangered species. Currently, some of the giant panda populations are isolated, which threatens their long-term survival, particularly in the Xiaoxiangling mountains. In the present study, we quantified niche requirements and then identified potential linkages of giant panda subpopulations in the most isolated region, using ecological niche factor analysis and a least-cost path model. Giant pandas preferred habitat with conifer forest and gentle slopes (>20 to ≤30°). Based on spatial distribution of suitable habitat, linkages were identified for the Yele subpopulation to 4 other subpopulations (Liziping, Matou, Xinmin and Wanba). Their lengths ranged from 15 to 54 km. The accumulated cost ranged from 693 to 3166 and conifer forest covered over 31%. However, a variety of features (e.g. major roads, human settlements and large unforested areas) might act as barriers along the linkages for giant panda dispersal. Our analysis quantified giant panda subpopulation connectivity to ensure long-term survival. © 2012 ISZS, Blackwell Publishing and IOZ/CAS.

          Related collections

          Author and article information

          Journal
          22691200
          10.1111/j.1749-4877.2012.00281.x

          Chemistry
          Animals,China,Conservation of Natural Resources,methods,Demography,Ecosystem,Endangered Species,Geographic Mapping,Models, Theoretical,Population Dynamics,Ursidae,physiology

          Comments

          Comment on this article