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Nature
Article . 2003 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2005
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Article . 2003
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Neutral theory and relative species abundance in ecology

Authors: Jayanth R. Banavar; Amos Maritan; Stephen P. Hubbell; Stephen P. Hubbell; Igor Volkov;

Neutral theory and relative species abundance in ecology

Abstract

The theory of island biogeography[1] asserts that an island or a local community approaches an equilibrium species richness as a result of the interplay between the immigration of species from the much larger metacommunity source area and local extinction of species on the island (local community). Hubbell[2] generalized this neutral theory to explore the expected steady-state distribution of relative species abundance (RSA) in the local community under restricted immigration. Here we present a theoretical framework for the unified neutral theory of biodiversity[2] and an analytical solution for the distribution of the RSA both in the metacommunity (Fisher's logseries) and in the local community, where there are fewer rare species. Rare species are more extinction-prone, and once they go locally extinct, they take longer to re-immigrate than do common species. Contrary to recent assertions[3], we show that the analytical solution provides a better fit, with fewer free parameters, to the RSA distribution of tree species on Barro Colorado Island (BCI)[4] than the lognormal distribution[5,6].

19 pages, 1 figure

Country
Italy
Keywords

Geography, Population Dynamics, Populations and Evolution (q-bio.PE), Quantitative Biology - Quantitative Methods, Models, Biological, Trees, SAMPLING THEORY, DIVERSITY, ALLELES, Gene Frequency, Species Specificity, FOS: Biological sciences, Animals, Quantitative Biology - Populations and Evolution, Ecosystem, Quantitative Methods (q-bio.QM)

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    666
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
666
Top 1%
Top 1%
Top 1%
Green
bronze
Related to Research communities
Italian National Biodiversity Future Center