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Plotkin JB, Potts MD, Yu DW, et al. Predicting species diversity in tropical forests. Proc Natl Acad Sci U S A. 2000;97(20):10850-4doi: 10.1073/pnas.97.20.10850.
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. (2000). Predicting species diversity in tropical forests. Proceedings of the National Academy of Sciences of the United States of America, 97(20), 10850-4. https://doi.org/10.1073/pnas.97.20.10850
Plotkin, J B, et al. "Predicting species diversity in tropical forests." Proceedings of the National Academy of Sciences of the United States of America vol. 97,20 (2000): 10850-4. doi: https://doi.org/10.1073/pnas.97.20.10850
Plotkin JB, Potts MD, Yu DW, Bunyavejchewin S, Condit R, Foster R, Hubbell S, LaFrankie J, Manokaran N, Seng LH, Sukumar R, Nowak MA, Ashton PS. Predicting species diversity in tropical forests. Proc Natl Acad Sci U S A. 2000 Sep 26;97(20):10850-4. doi: 10.1073/pnas.97.20.10850. PMID: 11005859; PMCID: PMC27112.
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Proc Natl Acad Sci U S A. 2000 Sep 26;97(20):10850-4. doi: 10.1073/pnas.97.20.10850.

Predicting species diversity in tropical forests.

Proceedings of the National Academy of Sciences of the United States of America

J B Plotkin, M D Potts, D W Yu, S Bunyavejchewin, R Condit, R Foster, S Hubbell, J LaFrankie, N Manokaran, L H Seng, R Sukumar, M A Nowak, P S Ashton

Affiliations

  1. Institute for Advanced Study and Princeton University, Princeton, NJ 08540, USA.

PMID: 11005859 PMCID: PMC27112 DOI: 10.1073/pnas.97.20.10850

Abstract

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

References

  1. Nature. 2000 Feb 24;403(6772):843-5 - PubMed
  2. Philos Trans R Soc Lond B Biol Sci. 1999 Dec 29;354(1392):1951-9 - PubMed
  3. Science. 1999 Apr 9;284(5412):334-6 - PubMed

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