Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4375485 | Ecological Informatics | 2006 | 10 Pages |
Abstract
Statistical mechanics of relative species abundance (RSA) patterns in biological networks is presented. The theory is based on multispecies replicator dynamics equivalent to the Lotka-Volterra equation, with diverse interspecies interactions. Various RSA patterns observed in nature are derived from a single parameter related to productivity or maturity of a community. The abundance distribution is formed like a widely observed left-skewed lognormal distribution. It is also found that the “canonical hypothesis” is supported in some parameter region where the typical RSA patterns are observed. As the model has a general form, the result can be applied to similar patterns in other complex biological networks, e.g. gene expression.
Keywords
Related Topics
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Ecology, Evolution, Behavior and Systematics
Authors
Kei Tokita,