3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Detecting diversity: emerging methods to estimate species diversity.

      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

          Estimates of species richness and diversity are central to community and macroecology and are frequently used in conservation planning. Commonly used diversity metrics account for undetected species primarily by controlling for sampling effort. Yet the probability of detecting an individual can vary among species, observers, survey methods, and sites. We review emerging methods to estimate alpha, beta, gamma, and metacommunity diversity through hierarchical multispecies occupancy models (MSOMs) and multispecies abundance models (MSAMs) that explicitly incorporate observation error in the detection process for species or individuals. We examine advantages, limitations, and assumptions of these detection-based hierarchical models for estimating species diversity. Accounting for imperfect detection using these approaches has influenced conclusions of comparative community studies and creates new opportunities for testing theory.

          Related collections

          Author and article information

          Journal
          Trends Ecol. Evol. (Amst.)
          Trends in ecology & evolution
          1872-8383
          0169-5347
          Feb 2014
          : 29
          : 2
          Affiliations
          [1 ] Department of Environmental Science, Policy and Management, 130 Mulford Hall, University of California, Berkeley, CA 94720-3110, USA.
          [2 ] Woodrow Wilson School, Princeton University, Princeton, NJ 08544, USA.
          [3 ] Department of Environmental Science, Policy and Management, 130 Mulford Hall, University of California, Berkeley, CA 94720-3110, USA; California Department of Fish and Wildlife, 601 Locust Street, Redding, CA 96001, USA.
          [4 ] Department of Environmental Science, Policy and Management, 130 Mulford Hall, University of California, Berkeley, CA 94720-3110, USA. Electronic address: beis@berkeley.edu.
          Article
          S0169-5347(13)00261-9
          10.1016/j.tree.2013.10.012
          24315534
          e6e9e294-b1ac-4bf9-8275-4391722eccb6
          Copyright © 2013 Elsevier Ltd. All rights reserved.
          History

          Comments

          Comment on this article