Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion

Autores
Escalante, Tania; Szumik, Claudia Adriana; Morrone, Juan José
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In order to test Mexican areas of endemism of mammals identified by previous parsimony analyses of endemicity (PAEs), we applied the optimality criterion to three data matrices (based on point records, potential distributional models and the fill option in software NDM). We modelled the ecological niches of 429 terrestrial mammal species using the genetic algorithm for rule-set prediction (GARP) and models were projected as potential distributional areas. We overlapped the point occurrence data and the individual maps of potential distributions to a grid of 1° latitude–longitude. Three matrices of 247 grid cells (areas) and 429 species were built: (1) a binary matrix with ‘0’ for absence and ‘1’ for presence of at least one record of the species inside the grid-cell; (2) a three-state matrix similar to (1) but assigning the state ‘2’ to the assumed presence in the model of potential distribution; and (3) a three-state matrix similar to (2), but applying the fill option of software NDM instead of using a model. The optimality criterion was performed in NDM version 2.7 and results were examined with VNDM version 2.7. The first and second matrices showed 13 areas of endemism and the third identified 16 areas of endemism. NDM provided a better resolution than PAE, allowing us to identify several new areas of endemism, previously undetected. Ecological niche models, projected as potential distributional areas, and the optimality criterion are very useful to identify areas of endemism, although they should be used with caution because they may overpredict potential distributional areas. PAE seems to underestimate the areas of endemism identified.
Fil: Escalante, Tania. Universidad Nacional Autónoma de México; México
Fil: Szumik, Claudia Adriana. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina
Fil: Morrone, Juan José. Universidad Nacional Autónoma de México; México
Materia
Ecological Niche Models
Endemicity
Ndm Software
Pae
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:11336/79505
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterionEscalante, TaniaSzumik, Claudia AdrianaMorrone, Juan JoséEcological Niche ModelsEndemicityNdm SoftwarePaehttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1In order to test Mexican areas of endemism of mammals identified by previous parsimony analyses of endemicity (PAEs), we applied the optimality criterion to three data matrices (based on point records, potential distributional models and the fill option in software NDM). We modelled the ecological niches of 429 terrestrial mammal species using the genetic algorithm for rule-set prediction (GARP) and models were projected as potential distributional areas. We overlapped the point occurrence data and the individual maps of potential distributions to a grid of 1° latitude–longitude. Three matrices of 247 grid cells (areas) and 429 species were built: (1) a binary matrix with ‘0’ for absence and ‘1’ for presence of at least one record of the species inside the grid-cell; (2) a three-state matrix similar to (1) but assigning the state ‘2’ to the assumed presence in the model of potential distribution; and (3) a three-state matrix similar to (2), but applying the fill option of software NDM instead of using a model. The optimality criterion was performed in NDM version 2.7 and results were examined with VNDM version 2.7. The first and second matrices showed 13 areas of endemism and the third identified 16 areas of endemism. NDM provided a better resolution than PAE, allowing us to identify several new areas of endemism, previously undetected. Ecological niche models, projected as potential distributional areas, and the optimality criterion are very useful to identify areas of endemism, although they should be used with caution because they may overpredict potential distributional areas. PAE seems to underestimate the areas of endemism identified.Fil: Escalante, Tania. Universidad Nacional Autónoma de México; MéxicoFil: Szumik, Claudia Adriana. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; ArgentinaFil: Morrone, Juan José. Universidad Nacional Autónoma de México; MéxicoWiley Blackwell Publishing, Inc2009-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/79505Escalante, Tania; Szumik, Claudia Adriana; Morrone, Juan José; Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion; Wiley Blackwell Publishing, Inc; Biological Journal of The Linnean Society; 98; 2; 4-2009; 468-4780024-4066CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1095-8312.2009.01293.xinfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/biolinnean/issue/98/2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:04:02Zoai:ri.conicet.gov.ar:11336/79505instacron: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:34982025-10-22 12:04:03.253CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion
title Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion
spellingShingle Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion
Escalante, Tania
Ecological Niche Models
Endemicity
Ndm Software
Pae
title_short Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion
title_full Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion
title_fullStr Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion
title_full_unstemmed Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion
title_sort Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion
dc.creator.none.fl_str_mv Escalante, Tania
Szumik, Claudia Adriana
Morrone, Juan José
author Escalante, Tania
author_facet Escalante, Tania
Szumik, Claudia Adriana
Morrone, Juan José
author_role author
author2 Szumik, Claudia Adriana
Morrone, Juan José
author2_role author
author
dc.subject.none.fl_str_mv Ecological Niche Models
Endemicity
Ndm Software
Pae
topic Ecological Niche Models
Endemicity
Ndm Software
Pae
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In order to test Mexican areas of endemism of mammals identified by previous parsimony analyses of endemicity (PAEs), we applied the optimality criterion to three data matrices (based on point records, potential distributional models and the fill option in software NDM). We modelled the ecological niches of 429 terrestrial mammal species using the genetic algorithm for rule-set prediction (GARP) and models were projected as potential distributional areas. We overlapped the point occurrence data and the individual maps of potential distributions to a grid of 1° latitude–longitude. Three matrices of 247 grid cells (areas) and 429 species were built: (1) a binary matrix with ‘0’ for absence and ‘1’ for presence of at least one record of the species inside the grid-cell; (2) a three-state matrix similar to (1) but assigning the state ‘2’ to the assumed presence in the model of potential distribution; and (3) a three-state matrix similar to (2), but applying the fill option of software NDM instead of using a model. The optimality criterion was performed in NDM version 2.7 and results were examined with VNDM version 2.7. The first and second matrices showed 13 areas of endemism and the third identified 16 areas of endemism. NDM provided a better resolution than PAE, allowing us to identify several new areas of endemism, previously undetected. Ecological niche models, projected as potential distributional areas, and the optimality criterion are very useful to identify areas of endemism, although they should be used with caution because they may overpredict potential distributional areas. PAE seems to underestimate the areas of endemism identified.
Fil: Escalante, Tania. Universidad Nacional Autónoma de México; México
Fil: Szumik, Claudia Adriana. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto Superior de Entomología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina
Fil: Morrone, Juan José. Universidad Nacional Autónoma de México; México
description In order to test Mexican areas of endemism of mammals identified by previous parsimony analyses of endemicity (PAEs), we applied the optimality criterion to three data matrices (based on point records, potential distributional models and the fill option in software NDM). We modelled the ecological niches of 429 terrestrial mammal species using the genetic algorithm for rule-set prediction (GARP) and models were projected as potential distributional areas. We overlapped the point occurrence data and the individual maps of potential distributions to a grid of 1° latitude–longitude. Three matrices of 247 grid cells (areas) and 429 species were built: (1) a binary matrix with ‘0’ for absence and ‘1’ for presence of at least one record of the species inside the grid-cell; (2) a three-state matrix similar to (1) but assigning the state ‘2’ to the assumed presence in the model of potential distribution; and (3) a three-state matrix similar to (2), but applying the fill option of software NDM instead of using a model. The optimality criterion was performed in NDM version 2.7 and results were examined with VNDM version 2.7. The first and second matrices showed 13 areas of endemism and the third identified 16 areas of endemism. NDM provided a better resolution than PAE, allowing us to identify several new areas of endemism, previously undetected. Ecological niche models, projected as potential distributional areas, and the optimality criterion are very useful to identify areas of endemism, although they should be used with caution because they may overpredict potential distributional areas. PAE seems to underestimate the areas of endemism identified.
publishDate 2009
dc.date.none.fl_str_mv 2009-04
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/11336/79505
Escalante, Tania; Szumik, Claudia Adriana; Morrone, Juan José; Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion; Wiley Blackwell Publishing, Inc; Biological Journal of The Linnean Society; 98; 2; 4-2009; 468-478
0024-4066
CONICET Digital
CONICET
url http://hdl.handle.net/11336/79505
identifier_str_mv Escalante, Tania; Szumik, Claudia Adriana; Morrone, Juan José; Areas of endemism of Mexican mammals: Re-analysis applying the optimality criterion; Wiley Blackwell Publishing, Inc; Biological Journal of The Linnean Society; 98; 2; 4-2009; 468-478
0024-4066
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1095-8312.2009.01293.x
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/biolinnean/issue/98/2
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
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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 13.229304

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