Statistical mechanics of relative species abundance
| dc.creator | Tokita, Kei | |
| dc.date | 2006-07-07 | |
| dc.date.accessioned | 2026-07-07T07:22:48Z | |
| dc.date.available | 2026-07-07T07:22:48Z | |
| dc.description | 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. | |
| dc.description | 23 pages, 8 figures. Ecological Informatics, in press | |
| dc.identifier | https://arxiv.org/abs/q-bio/0607011 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0607011 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/115790 | |
| dc.subject | Populations and Evolution | |
| dc.title | Statistical mechanics of relative species abundance | |
| dc.type | text |