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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2016-07-04T13:45:13Z</responseDate> <request identifier=oai:HAL:hal-01276738v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01276738v1</identifier> <datestamp>2016-02-23</datestamp> <setSpec>type:UNDEFINED</setSpec> <setSpec>subject:sde</setSpec> <setSpec>collection:AGROPARISTECH</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:INRA</setSpec> <setSpec>collection:SDE</setSpec> <setSpec>collection:ECOFOG</setSpec> <setSpec>collection:GIP-BE</setSpec> <setSpec>collection:CIRAD</setSpec> <setSpec>collection:PARISTECH</setSpec> <setSpec>collection:MIA-PARIS</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>The Generalized Simpson's Entropy is a Measure of Biodiversity</title> <creator>Grabchak, Michael</creator> <creator>Marcon, Eric</creator> <creator>Lang, Gabriel</creator> <creator>Zhang, Zhiyi</creator> <contributor>Department of Mathematics and Statistics [Charlotte] ; university of north carolina at charlotte</contributor> <contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech (AgroParisTech) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Mathématiques et Informatique Appliquées (MIA-Paris) ; Institut National de la Recherche Agronomique (INRA) - AgroParisTech (AgroParisTech)</contributor> <identifier>hal-01276738</identifier> <identifier>https://hal-agroparistech.archives-ouvertes.fr/hal-01276738</identifier> <identifier>https://hal-agroparistech.archives-ouvertes.fr/hal-01276738/document</identifier> <identifier>https://hal-agroparistech.archives-ouvertes.fr/hal-01276738/file/GSimpson.pdf</identifier> <source>https://hal-agroparistech.archives-ouvertes.fr/hal-01276738</source> <source>2016</source> <language>en</language> <subject lang=en>diversity</subject> <subject lang=en>estimators</subject> <subject lang=en>rare species</subject> <subject>[SDE.BE] Environmental Sciences/Biodiversity and Ecology</subject> <type>info:eu-repo/semantics/preprint</type> <type>Preprints, Working Papers, ...</type> <description lang=en>Modern measures of diversity satisfy reasonable axioms, are parameterized to produce diversity profiles, come with an effective number of species to simplify their interpretation, and estimators to apply them to real data. Generalized Simpson's entropy has all of these features and can be used as a measure of biodiversity. Moreover, unlike most commonly used diversity indices, it has unbiased estimator, which allows for robust estimation of the diversity of poorly sampled, rich communities.</description> <date>2016-02-17</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>