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

      Harnessing the world's biodiversity data: promise and peril in ecological niche modeling of species distributions.

      1

      Annals of the New York Academy of Sciences

      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

          Recent advances allow harnessing enormous stores of biological and environmental data to model species niches and geographic distributions. Natural history museums hold specimens that represent the only information available for most species. Ecological niche models (sometimes termed species distribution models) combine such information with digital environmental data (especially climatic) to offer key insights for conservation biology, management of invasive species, zoonotic human diseases, and other pressing environmental problems. Five major pitfalls seriously hinder such research, especially for cross-space or cross-time uses: (1) incorrect taxonomic identifications; (2) lacking or inadequate databasing and georeferences; (3) effects of sampling bias across geography; (4) violation of assumptions related to selection of the study region; and (5) problems regarding model evaluation to identify optimal model complexity. Large-scale initiatives regarding data availability and quality, technological development, and capacity building should allow high-quality modeling on a scale commensurate with the enormous potential of and need for these techniques.

          Related collections

          Author and article information

          Journal
          Ann. N. Y. Acad. Sci.
          Annals of the New York Academy of Sciences
          1749-6632
          0077-8923
          Jul 2012
          : 1260
          Affiliations
          [1 ] Department of Biology, City College, The City University of New York, New York, NY, USA. anderson@sci.ccny.cuny.edu
          Article
          10.1111/j.1749-6632.2011.06440.x
          22352858
          © 2012 New York Academy of Sciences.

          Comments

          Comment on this article