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dc.contributor.author
Szumik, Claudia Adriana  
dc.contributor.author
Cuezzo, Fabiana del Carmen  
dc.contributor.author
Goloboff, Pablo Augusto  
dc.contributor.author
Chalup, Adriana Elizabeth  
dc.date.available
2019-07-04T14:33:01Z  
dc.date.issued
2002-09  
dc.identifier.citation
Szumik, Claudia Adriana; Cuezzo, Fabiana del Carmen; Goloboff, Pablo Augusto; Chalup, Adriana Elizabeth; An optimality criterion to determine areas of endemism; Oxford University Press; Systematic Biology; 51; 5; 9-2002; 806-816  
dc.identifier.issn
1063-5157  
dc.identifier.uri
http://hdl.handle.net/11336/79119  
dc.description.abstract
A formal method was developed to determine areas of endemism. The study region is divided into cells, and the number of species that can be considered as endemic is counted for a given set of cells (= area). Thus, the areas with the maximum number of species considered endemic are preferred. This is the first method for the identification of areas of endemism that implements an optimality criterion directly based on considering the aspects of species distribution that are relevant to endemism. The methodis implemented in two computer programs, NDM and VNDM, available from the authors. © 2002 Society of Systematic Biologists.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Oxford University Press  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Biogeography  
dc.subject
Endemicity  
dc.subject
Optimality Criterion  
dc.subject.classification
Otras Ciencias Biológicas  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
An optimality criterion to determine areas of endemism  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-06-14T15:17:44Z  
dc.journal.volume
51  
dc.journal.number
5  
dc.journal.pagination
806-816  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Oxford  
dc.description.fil
Fil: Szumik, Claudia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; Argentina  
dc.description.fil
Fil: Cuezzo, Fabiana del Carmen. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; Argentina  
dc.description.fil
Fil: Goloboff, Pablo Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; Argentina  
dc.description.fil
Fil: Chalup, Adriana Elizabeth. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; Argentina  
dc.journal.title
Systematic Biology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1080/10635150290102483  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/sysbio/article/51/5/806/1678491  

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