Rao's quadratic entropy as a measure of functional diversity based on multiple traits

Research output: Contribution to journalArticle

469 Citations (Scopus)

Abstract

Question: Is Rao's quadratic entropy a suitable measure of functional diversity if several traits are considered? Methods: It is checked whether Rao's quadratic entropy (FDQ) satisfies a priori criteria suggested by Mason et al. A real data set is used to show that there are often zeros in abundance distributions which maximize functional diversity. Results and Conclusion: FDQ fulfils all a priori criteria and it surpasses other proposed indices, because it includes species abundances and more than one trait. Therefore, it seems to be an improvement compared to measures of functional diversity that are currently available. An unexpected property of FDQ is that its value may decrease if species richness increases. The reason is that functional diversity is influenced by both species-abundance based diversity and differences among species. Introduction of a new species into the community increases the species-abundance based diversity, while it may decrease the average dissimilarity among species.

Original languageEnglish
Pages (from-to)533-540
Number of pages8
JournalJournal of Vegetation Science
Volume16
Issue number5
DOIs
Publication statusPublished - Oct 2005

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functional diversity
entropy
interspecific variation
species diversity
species richness
new species
methodology

Keywords

  • Functional diversity
  • Functional group
  • Functional redundancy
  • Trait

ASJC Scopus subject areas

  • Forestry
  • Plant Science
  • Ecology

Cite this

Rao's quadratic entropy as a measure of functional diversity based on multiple traits. / Botta-Dukát, Z.

In: Journal of Vegetation Science, Vol. 16, No. 5, 10.2005, p. 533-540.

Research output: Contribution to journalArticle

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