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EnglishA measure of beta diversity is proposed for equal sized presence absence vegetation plots. The method begins by computing the minimum variance unbiased estimator of the expected species richnesE[Sn] as a function of sample size n for a set of N plots. Using semilogaritmic relation, beta-diversity is then determined from the slope of the best fitting line of the E[Sn] vs. log n plot. Beta-diversity is thus interpretable as the linear relation between expected species richness and log samples size. The method illustrated using 15 square plots of 100m2 each from a Matorral community in the rid Chaco of central Argentina. Further, some analogies between the proposed method and Wittaker’s multiplicative model of beta diversity are discussed.
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1078/1439-1791-00082 | |
| Codice identificativo ISI: | WOS:000174146500002 | |
| Codice identificativo Scopus: | 2-s2.0-0036171557 | |
| Handle: | http://hdl.handle.net/11695/6238 | |
| Abstract: | A measure of beta diversity is proposed for equal sized presence absence vegetation plots. The method begins by computing the minimum variance unbiased estimator of the expected species richnesE[Sn] as a function of sample size n for a set of N plots. Using semilogaritmic relation, beta-diversity is then determined from the slope of the best fitting line of the E[Sn] vs. log n plot. Beta-diversity is thus interpretable as the linear relation between expected species richness and log samples size. The method illustrated using 15 square plots of 100m2 each from a Matorral community in the rid Chaco of central Argentina. Further, some analogies between the proposed method and Wittaker’s multiplicative model of beta diversity are discussed. | |
| Titolo: | Computing beta diversity from species-area curves | |
| Autori: | ||
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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