An optimality criterion to determine areas of endemism

Autores
Szumik, Claudia Adriana; Cuezzo, Fabiana del Carmen; Goloboff, Pablo Augusto; Chalup, Adriana Elizabeth
Año de publicación
2002
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
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
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
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
Fil: Chalup, Adriana Elizabeth. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; Argentina
Materia
BIOGEOGRAPHY
ENDEMICITY
OPTIMALITY CRITERION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/79119
Acceder
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network_name_str CONICET Digital (CONICET)
spelling An optimality criterion to determine areas of endemismSzumik, Claudia AdrianaCuezzo, Fabiana del CarmenGoloboff, Pablo AugustoChalup, Adriana ElizabethBIOGEOGRAPHYENDEMICITYOPTIMALITY CRITERIONhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1A 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.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; ArgentinaFil: 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; ArgentinaFil: 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; ArgentinaFil: Chalup, Adriana Elizabeth. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; ArgentinaOxford University Press2002-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/79119Szumik, 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; 806-8161063-5157CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/10635150290102483info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/sysbio/article/51/5/806/1678491info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:16:03Zoai:ri.conicet.gov.ar:11336/79119instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:16:03.875CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An optimality criterion to determine areas of endemism
title An optimality criterion to determine areas of endemism
spellingShingle An optimality criterion to determine areas of endemism
Szumik, Claudia Adriana
BIOGEOGRAPHY
ENDEMICITY
OPTIMALITY CRITERION
title_short An optimality criterion to determine areas of endemism
title_full An optimality criterion to determine areas of endemism
title_fullStr An optimality criterion to determine areas of endemism
title_full_unstemmed An optimality criterion to determine areas of endemism
title_sort An optimality criterion to determine areas of endemism
dc.creator.none.fl_str_mv Szumik, Claudia Adriana
Cuezzo, Fabiana del Carmen
Goloboff, Pablo Augusto
Chalup, Adriana Elizabeth
author Szumik, Claudia Adriana
author_facet Szumik, Claudia Adriana
Cuezzo, Fabiana del Carmen
Goloboff, Pablo Augusto
Chalup, Adriana Elizabeth
author_role author
author2 Cuezzo, Fabiana del Carmen
Goloboff, Pablo Augusto
Chalup, Adriana Elizabeth
author2_role author
author
author
dc.subject.none.fl_str_mv BIOGEOGRAPHY
ENDEMICITY
OPTIMALITY CRITERION
topic BIOGEOGRAPHY
ENDEMICITY
OPTIMALITY CRITERION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
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
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
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
Fil: Chalup, Adriana Elizabeth. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; Argentina
description 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.
publishDate 2002
dc.date.none.fl_str_mv 2002-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/79119
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
1063-5157
CONICET Digital
CONICET
url http://hdl.handle.net/11336/79119
identifier_str_mv 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
1063-5157
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1080/10635150290102483
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/sysbio/article/51/5/806/1678491
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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