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Predicting species diversity in tropical forests.
Plotkin, J B; Potts, M D; Yu, D W; Bunyavejchewin, S; Condit, R; Foster, R; Hubbell, S; LaFrankie, J; Manokaran, N; Seng, L H; Sukumar, R; Nowak, M A; Ashton, P S.
Afiliação
  • Plotkin JB; Institute for Advanced Study and Princeton University, Princeton, NJ 08540, USA.
Proc Natl Acad Sci U S A ; 97(20): 10850-4, 2000 Sep 26.
Article em En | MEDLINE | ID: mdl-11005859
A fundamental question in ecology is how many species occur within a given area. Despite the complexity and diversity of different ecosystems, there exists a surprisingly simple, approximate answer: the number of species is proportional to the size of the area raised to some exponent. The exponent often turns out to be roughly 1/4. This power law can be derived from assumptions about the relative abundances of species or from notions of self-similarity. Here we analyze the largest existing data set of location-mapped species: over one million, individually identified trees from five tropical forests on three continents. Although the power law is a reasonable, zeroth-order approximation of our data, we find consistent deviations from it on all spatial scales. Furthermore, tropical forests are not self-similar at areas

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2000 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2000 Tipo de documento: Article País de afiliação: Estados Unidos