Traditional diversity measures such as the Shannon entropy are generally computed from the species' relative abundance vector of a given community to the exclusion of species' absolute abundances. In this paper, I first mention some examples where the total information content associated with a given community may be more adequate than Shannon's average information content for a better understanding of ecosystem functioning. Next, I propose a parametric measure of statistical information that contains both Shannon's entropy and total information content as special cases of this more general function.
Parametric scaling from species relative abundances to absolute abundances in the computation of biological diversity: A first proposal using Shannon's entropy / Ricotta, Carlo. - In: ACTA BIOTHEORETICA. - ISSN 0001-5342. - STAMPA. - 51:3(2003), pp. 181-188. [10.1023/a:1025142106292]
Parametric scaling from species relative abundances to absolute abundances in the computation of biological diversity: A first proposal using Shannon's entropy
RICOTTA, Carlo
2003
Abstract
Traditional diversity measures such as the Shannon entropy are generally computed from the species' relative abundance vector of a given community to the exclusion of species' absolute abundances. In this paper, I first mention some examples where the total information content associated with a given community may be more adequate than Shannon's average information content for a better understanding of ecosystem functioning. Next, I propose a parametric measure of statistical information that contains both Shannon's entropy and total information content as special cases of this more general function.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.