A measure of β-diversity is proposed for equal-sized presence-absence vegetation sample plots. The method begins by computing the minimum variance unbiased estimator of the expected species richness E[Sn] as a function of sample size n for a set of N plots. Using a semilogarithmic relation, β-diversity is then determined from the slope of the best fitting line of the E[Sn] vs. log n plot. β-diversity is thus interpretable as the linear relation between expected species richness and log sample size. The method is illustrated using 15 square plots of 100 m2 each from a Matorral community in the Arid Chaco of central Argentina. Further, some analogies between the proposed method and Whittaker's multiplicative model of β-diversity are discussed.
Computing β-diversity from species-area curves / Ricotta, Carlo; Maria Laura, Carranza; Avena, Giancarlo. - In: BASIC AND APPLIED ECOLOGY. - ISSN 1439-1791. - STAMPA. - 3:1(2002), pp. 15-18. [10.1078/1439-1791-00082]
Computing β-diversity from species-area curves
RICOTTA, Carlo;AVENA, Giancarlo
2002
Abstract
A measure of β-diversity is proposed for equal-sized presence-absence vegetation sample plots. The method begins by computing the minimum variance unbiased estimator of the expected species richness E[Sn] as a function of sample size n for a set of N plots. Using a semilogarithmic relation, β-diversity is then determined from the slope of the best fitting line of the E[Sn] vs. log n plot. β-diversity is thus interpretable as the linear relation between expected species richness and log sample size. The method is illustrated using 15 square plots of 100 m2 each from a Matorral community in the Arid Chaco of central Argentina. Further, some analogies between the proposed method and Whittaker's multiplicative model of β-diversity are discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.