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A supplementary tool to existing approaches for assessing ecosystem community structure.
Hopton, Matthew E; Karunanithi, Arunprakash T; Garmestani, Ahjond S; White, Denis; Choate, Jerry R; Cabezas, Heriberto.
Afiliación
  • Hopton ME; United States Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, MS 443, Cincinnati, OH 45268 USA.
  • Karunanithi AT; Center for Sustainable Infrastructure Systems, University of Colorado Denver, 1200 Larimer Street, Denver, CO 80217, USA.
  • Garmestani AS; United States Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, 26 West Martin Luther King Drive, MS 443, Cincinnati, OH 45268 USA.
  • White D; United States Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, 200 SW 35th Street, Corvallis, Oregon 97333 USA.
  • Choate JR; Present address: Geography Program, College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis OR 97331 USA.
  • Cabezas H; Posthumously; Sternberg Museum of Natural History, Fort Hays State University, 3000 Sternberg Drive, Hays, KS 67601-2006 USA.
Ecol Modell ; 355: 64-69, 2017 Jul 10.
Article en En | MEDLINE | ID: mdl-30220776
ABSTRACT
Measures of biological or species diversity are central to ecology and conservation biology. Although there are several commonly used indices, each has shortcomings and all vary in the relative emphasis they place on the number of species and their relative abundance. We propose utilizing Fisher Information, not as a replacement for existing indices, but as a supplement to other indices because it is sensitive to community structure. We demonstrate how Shannon's and Simpson's diversity indices quantify the diversity of two different systems and how Fisher Information can enhance the analyses by comparing, as example, body size, and phylogenetic diversity of the different communities. Fisher Information is sensitive to the order in which species are entered into the analysis, and therefore, it can detect differences in community structure. Thus, the Fisher Information index can be useful in helping understand and analyze biodiversity of ecosystems and in comparing ecological communities.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ecol Modell Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Ecol Modell Año: 2017 Tipo del documento: Article