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dc.contributor.authorŠizling, AL
dc.contributor.authorStorch, D
dc.contributor.authorŠizlingová, E
dc.contributor.authorReif, J
dc.contributor.authorGaston, Kevin J.
dc.date.accessioned2013-06-07T09:03:28Z
dc.date.issued2009
dc.description.abstractThe frequency distribution of species abundances [the species abundance distribution (SAD)] is considered to be a fundamental characteristic of community structure. It is almost invariably strongly right-skewed, with most species being rare. There has been much debate as to its exact properties and the processes from which it results. Here, we contend that an SAD for a study plot must be viewed as spliced from the SADs of many smaller nonoverlapping subplots covering that plot. We show that this splicing, if applied repeatedly to produce subplots of progressively larger size, leads to the observed shape of the SAD for the whole plot regardless of that of the SADs of those subplots. The widely reported shape of an SAD is thus likely to be driven by a spatial parallel of the central limit theorem, a statistically convergent process through which the SAD arises from small to large scales. Exact properties of the SAD are driven by species spatial turnover and the spatial autocorrelation of abundances, and can be predicted using this information. The theory therefore provides a direct link between SADs and the spatial correlation structure of species distributions, and thus between several fundamental descriptors of community structure. Moreover, the statistical process described may lie behind similar frequency distributions observed in many other scientific fields.en_GB
dc.identifier.citationProceedings of the National Academy of Sciences of the United States of America, 2009, Vol. 106, Issue 16, pp. 6691 - 6695en_GB
dc.identifier.urihttp://hdl.handle.net/10871/9903
dc.language.isoenen_GB
dc.publisherThe National Academy of Sciencesen_GB
dc.relation.urlhttp://www.pnas.org/content/106/16/6691.abstracten_GB
dc.titleSpecies abundance distribution results from a spatial analogy of central limit theoremen_GB
dc.typeArticleen_GB
dc.date.available2013-06-07T09:03:28Z
dc.identifier.issn0027-8424
dc.descriptionCopyright © 2009, The National Academy of Sciencesen_GB
dc.identifier.journalProceedings of the National Academy of Sciences of the United States of Americaen_GB


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