Towards a unifying framework for diversity and dissimilarity coefficients

Diversity and dissimilarity within and between species assemblages have now been studied for more than half a century by community ecologists in relation to their connections with ecosystem functioning. However, a generalized framework that puts diversity and dissimilarity coefficients under the sam...

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Autores principales:	Carlo Ricotta, László Szeidl, Sandrine Pavoine
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Bray-Curtis dissimilarity Effective number of species Expected species rarity Generalized mean Gini-Simpson diversity Parametric diversity Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/f6253c830e994b608020903c9c2841c2
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spelling	oai:doaj.org-article:f6253c830e994b608020903c9c2841c22021-12-01T04:57:11ZTowards a unifying framework for diversity and dissimilarity coefficients1470-160X10.1016/j.ecolind.2021.107971https://doaj.org/article/f6253c830e994b608020903c9c2841c22021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006361https://doaj.org/toc/1470-160XDiversity and dissimilarity within and between species assemblages have now been studied for more than half a century by community ecologists in relation to their connections with ecosystem functioning. However, a generalized framework that puts diversity and dissimilarity coefficients under the same formal umbrella is still lacking. In this paper, we show that generalized means represent an effective tool to develop a unifying formulation for the construction of a large array of parametric diversity and dissimilarity measures. These measures include some of the classical diversity coefficients, such as the Shannon entropy, the Gini-Simpson index or the parametric diversity of Patil and Taillie, together with a large number of dissimilarity coefficients of the Bray-Curtis family and can be further extended to the measurement of functional and phylogenetic differences within and between plots.Carlo RicottaLászló SzeidlSandrine PavoineElsevierarticleBray-Curtis dissimilarityEffective number of speciesExpected species rarityGeneralized meanGini-Simpson diversityParametric diversityEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107971- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bray-Curtis dissimilarity Effective number of species Expected species rarity Generalized mean Gini-Simpson diversity Parametric diversity Ecology QH540-549.5
spellingShingle	Bray-Curtis dissimilarity Effective number of species Expected species rarity Generalized mean Gini-Simpson diversity Parametric diversity Ecology QH540-549.5 Carlo Ricotta László Szeidl Sandrine Pavoine Towards a unifying framework for diversity and dissimilarity coefficients
description	Diversity and dissimilarity within and between species assemblages have now been studied for more than half a century by community ecologists in relation to their connections with ecosystem functioning. However, a generalized framework that puts diversity and dissimilarity coefficients under the same formal umbrella is still lacking. In this paper, we show that generalized means represent an effective tool to develop a unifying formulation for the construction of a large array of parametric diversity and dissimilarity measures. These measures include some of the classical diversity coefficients, such as the Shannon entropy, the Gini-Simpson index or the parametric diversity of Patil and Taillie, together with a large number of dissimilarity coefficients of the Bray-Curtis family and can be further extended to the measurement of functional and phylogenetic differences within and between plots.
format	article
author	Carlo Ricotta László Szeidl Sandrine Pavoine
author_facet	Carlo Ricotta László Szeidl Sandrine Pavoine
author_sort	Carlo Ricotta
title	Towards a unifying framework for diversity and dissimilarity coefficients
title_short	Towards a unifying framework for diversity and dissimilarity coefficients
title_full	Towards a unifying framework for diversity and dissimilarity coefficients
title_fullStr	Towards a unifying framework for diversity and dissimilarity coefficients
title_full_unstemmed	Towards a unifying framework for diversity and dissimilarity coefficients
title_sort	towards a unifying framework for diversity and dissimilarity coefficients
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/f6253c830e994b608020903c9c2841c2
work_keys_str_mv	AT carloricotta towardsaunifyingframeworkfordiversityanddissimilaritycoefficients AT laszloszeidl towardsaunifyingframeworkfordiversityanddissimilaritycoefficients AT sandrinepavoine towardsaunifyingframeworkfordiversityanddissimilaritycoefficients
_version_	1718405699868819456

Towards a unifying framework for diversity and dissimilarity coefficients

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