Areas of Endemism: An Improved Optimality Criterion
- Autores
- Szumik, Claudia Adriana; Goloboff, Pablo Augusto
- Año de publicación
- 2004
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The grid-based method to identify areas of endemism proposed by Szumik et al. (Syst. Biol. 51:806–816, 2002) is extended. The improvements include the ability to assign scores of endemicity to sets of disjoint areas, and to have each species contribute more to the score of endemicity of an area, or less, according to how well its distribution matches thearea. The modified method also allows for partially overlapping areas; an area partially overlapping with another one of higher score is retained when the set of lower score has a minimum proportion of species endemic to it. Algorithms to evaluate areas of endemism under this criterion are discussed, and implemented in a computer program (NDM; available at www.zmuc.dk/public/phylogeny). The new algorithms allow evaluation of much larger data sets. [Biogeography; distributionpatterns;endemism.]
Fil: Szumik, Claudia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación Miguel Lillo; Argentina
Fil: Goloboff, Pablo Augusto. Fundación Miguel Lillo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/101891
Ver los metadatos del registro completo
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Areas of Endemism: An Improved Optimality CriterionSzumik, Claudia AdrianaGoloboff, Pablo Augustohttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The grid-based method to identify areas of endemism proposed by Szumik et al. (Syst. Biol. 51:806–816, 2002) is extended. The improvements include the ability to assign scores of endemicity to sets of disjoint areas, and to have each species contribute more to the score of endemicity of an area, or less, according to how well its distribution matches thearea. The modified method also allows for partially overlapping areas; an area partially overlapping with another one of higher score is retained when the set of lower score has a minimum proportion of species endemic to it. Algorithms to evaluate areas of endemism under this criterion are discussed, and implemented in a computer program (NDM; available at www.zmuc.dk/public/phylogeny). The new algorithms allow evaluation of much larger data sets. [Biogeography; distributionpatterns;endemism.]Fil: Szumik, Claudia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación Miguel Lillo; ArgentinaFil: Goloboff, Pablo Augusto. Fundación Miguel Lillo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaOxford University Press2004-12info: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/11336/101891Szumik, Claudia Adriana; Goloboff, Pablo Augusto; Areas of Endemism: An Improved Optimality Criterion; Oxford University Press; Systematic Biology; 53; 6; 12-2004; 968-9771063-51571076-836XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/10635150490888859info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/sysbio/article/53/6/968/1653160info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:05:50Zoai:ri.conicet.gov.ar:11336/101891instacron: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 15:05:50.42CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Areas of Endemism: An Improved Optimality Criterion |
| title |
Areas of Endemism: An Improved Optimality Criterion |
| spellingShingle |
Areas of Endemism: An Improved Optimality Criterion Szumik, Claudia Adriana |
| title_short |
Areas of Endemism: An Improved Optimality Criterion |
| title_full |
Areas of Endemism: An Improved Optimality Criterion |
| title_fullStr |
Areas of Endemism: An Improved Optimality Criterion |
| title_full_unstemmed |
Areas of Endemism: An Improved Optimality Criterion |
| title_sort |
Areas of Endemism: An Improved Optimality Criterion |
| dc.creator.none.fl_str_mv |
Szumik, Claudia Adriana Goloboff, Pablo Augusto |
| author |
Szumik, Claudia Adriana |
| author_facet |
Szumik, Claudia Adriana Goloboff, Pablo Augusto |
| author_role |
author |
| author2 |
Goloboff, Pablo Augusto |
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author |
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https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
The grid-based method to identify areas of endemism proposed by Szumik et al. (Syst. Biol. 51:806–816, 2002) is extended. The improvements include the ability to assign scores of endemicity to sets of disjoint areas, and to have each species contribute more to the score of endemicity of an area, or less, according to how well its distribution matches thearea. The modified method also allows for partially overlapping areas; an area partially overlapping with another one of higher score is retained when the set of lower score has a minimum proportion of species endemic to it. Algorithms to evaluate areas of endemism under this criterion are discussed, and implemented in a computer program (NDM; available at www.zmuc.dk/public/phylogeny). The new algorithms allow evaluation of much larger data sets. [Biogeography; distributionpatterns;endemism.] Fil: Szumik, Claudia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación Miguel Lillo; Argentina Fil: Goloboff, Pablo Augusto. Fundación Miguel Lillo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
| description |
The grid-based method to identify areas of endemism proposed by Szumik et al. (Syst. Biol. 51:806–816, 2002) is extended. The improvements include the ability to assign scores of endemicity to sets of disjoint areas, and to have each species contribute more to the score of endemicity of an area, or less, according to how well its distribution matches thearea. The modified method also allows for partially overlapping areas; an area partially overlapping with another one of higher score is retained when the set of lower score has a minimum proportion of species endemic to it. Algorithms to evaluate areas of endemism under this criterion are discussed, and implemented in a computer program (NDM; available at www.zmuc.dk/public/phylogeny). The new algorithms allow evaluation of much larger data sets. [Biogeography; distributionpatterns;endemism.] |
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2004 |
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2004-12 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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http://hdl.handle.net/11336/101891 Szumik, Claudia Adriana; Goloboff, Pablo Augusto; Areas of Endemism: An Improved Optimality Criterion; Oxford University Press; Systematic Biology; 53; 6; 12-2004; 968-977 1063-5157 1076-836X CONICET Digital CONICET |
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http://hdl.handle.net/11336/101891 |
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Szumik, Claudia Adriana; Goloboff, Pablo Augusto; Areas of Endemism: An Improved Optimality Criterion; Oxford University Press; Systematic Biology; 53; 6; 12-2004; 968-977 1063-5157 1076-836X CONICET Digital CONICET |
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eng |
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Oxford University Press |
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Oxford University Press |
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