Statistical mechanics of relative species abundance |
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Authors: | Kei Tokita |
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Institution: | aLarge-Scale Computational Science Division, Cybermedia Center, Osaka University, Graduate School of Science, Osaka University, Graduate School of Frontier Biosciences, Osaka University, 1-32 Machikaneyama-cho, Toyonaka, Osaka 560-0043, Japan |
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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. |
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Keywords: | Relative species abundance Replicator equation Lotka– Volterra equation Statistical mechanics Productivity Diversity Canonical hypothesis Interspecies interaction |
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