Diversity partitioning of Rao's quadratic entropy

Carlo Ricotta, L. Szeidl

Research output: Contribution to journalArticle

66 Citations (Scopus)

Abstract

Many applications of diversity indices are only valid if they are first transformed into their equivalent number of species. These equivalent numbers of species can be multiplicatively partitioned into independent alpha, beta and gamma components, and can be formed into mathematically consistent similarity measures. The utility of beta diversity and similarity measures that incorporate information about the degree of ecological dissimilarity between species is becoming increasingly recognized. The concept of equivalent number of species is here extended to Rao's quadratic entropy, opening the way to methods of diversity partitioning that take into account taxonomic or ecological differences between species.

Original languageEnglish
Pages (from-to)299-302
Number of pages4
JournalTheoretical Population Biology
Volume76
Issue number4
DOIs
Publication statusPublished - Dec 2009

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entropy
partitioning
methodology
diversity index

Keywords

  • Alpha, beta and gamma diversities
  • Diversity partitioning
  • Equivalent number of species
  • Principle of 'maximum dissimilarity'
  • Replication principle

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

Cite this

Diversity partitioning of Rao's quadratic entropy. / Ricotta, Carlo; Szeidl, L.

In: Theoretical Population Biology, Vol. 76, No. 4, 12.2009, p. 299-302.

Research output: Contribution to journalArticle

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