A fractal-based, scale invariant measure of 'community evenness' is proposed. The method begins by computing the Shannon entropy (H) and species richness (N) for each of q releves. Using a fractal-based power law relationship, community evenness J is then determined from the slope of the H versus log2 N plot. Community evenness is thus a scale-invariant measure of the relationship between species richness and Shannon entropy for a set of releves. The method is illustrated using data from 16 beech forest community releves in the Lucretili Mountains of central Italy.
Community richness, diversity and evenness: A fractal approach / Ricotta, Carlo; N. C., Kenkel; E., De Zuliani; G. C., Avena. - 22:1-2(1998), pp. 113-119.
Community richness, diversity and evenness: A fractal approach
RICOTTA, Carlo;
1998
Abstract
A fractal-based, scale invariant measure of 'community evenness' is proposed. The method begins by computing the Shannon entropy (H) and species richness (N) for each of q releves. Using a fractal-based power law relationship, community evenness J is then determined from the slope of the H versus log2 N plot. Community evenness is thus a scale-invariant measure of the relationship between species richness and Shannon entropy for a set of releves. The method is illustrated using data from 16 beech forest community releves in the Lucretili Mountains of central Italy.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
