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The Weighted Gini-Simpson Index: Revitalizing an Old Index of Biodiversity
Author(s) -
Radu Cornel Guiașu,
Silviu Guiaşu
Publication year - 2012
Publication title -
international journal of ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.373
H-Index - 20
eISSN - 1687-9716
pISSN - 1687-9708
DOI - 10.1155/2012/478728
Subject(s) - biodiversity , diversity index , index (typography) , abundance (ecology) , relative species abundance , phylogenetic diversity , species diversity , multiplicative function , distribution (mathematics) , gini coefficient , statistics , ecology , biology , species richness , mathematics , phylogenetic tree , inequality , computer science , economic inequality , mathematical analysis , biochemistry , world wide web , gene
The distribution of biodiversity at multiple sites of a region has been traditionally investigated through the additive partitioning of the regional biodiversity into the average within-site biodiversity and the biodiversity among sites. The standard additive partitioning of diversity requires the use of a measure of diversity, which is a concave function of the relative abundance of species, such as the Gini-Simpson index, for instance. Recently, it was noticed that the widely used Gini-Simpson index does not behave well when the number of species is very large. The objective of this paper is to show that the new weighted Gini-Simpson index preserves the qualities of the classic Gini-Simpson index and behaves very well when the number of species is large. The weights allow us to take into account the abundance of species, the phylogenetic distance between species, and the conservation values of species. This measure may also be generalized to pairs of species and, unlike Rao’s index, this measure proves to be a concave function of the joint distribution of the relative abundance of species, being suitable for use in the additive partitioning of biodiversity. The weighted Gini-Simpson index may be easily transformed for use in the multiplicative partitioning of biodiversity as well

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