A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)

Autores
Simó, Miguel; Guerrero, José Carlos; Giuliani, Leandro; Castellano, Ismael; Acosta, Luis Eduardo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Harvestmen are a good taxon for biogeographic studies due to their low vagility and their dependence on environmental conditions which make most of them live in humid and shaded habitats. Current knowledge of the geographical distribution of Uruguayan opiliofauna suggests that no evident zoogeographic areas are present, mainly because of the apparent uniformity of the landscape of this country. Recent biogeographic studies indicate that Uruguay represents a biogeographical crossroad between three South American provinces, and the aim of this study is focused on determining if this fact is reflected in the distribution of the Uruguayan opiliofauna. To test this presumption, we used the species distribution model methodology. Distribution data about four harvestmen species from Uruguay and neighboring countries were analyzed. We used the maximum entropy principle to perform a distribution model for each species. Results: We recognized Acanthopachylus aculeatus and Pachyloides thorellii as two Pampasic representatives of the Uruguayan opiliofauna. The other species studied, Discocyrtus prospicuus and Metalibitia paraguayensis, reflect Mesopotamian and Paranaense influences in the Uruguayan territory. Isothermality was the climatic variable with the best contribution in the models of the four species, reflecting constrained latitudinal ranges. Conclusions: Results of the present study suggest that two roughly different opiliological areas for Uruguay can be recognized, based on climatic variables.
Fil: Simó, Miguel. Universidad de la Republica; Uruguay. Museo Nacional de Historia Natural Nacional; Uruguay
Fil: Guerrero, José Carlos. Universidad de la Republica; Uruguay
Fil: Giuliani, Leandro. Universidad de la Republica; Uruguay
Fil: Castellano, Ismael. Universidad de la Republica; Uruguay
Fil: Acosta, Luis Eduardo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Cordoba. Instituto de Diversidad y Ecologia Animal; Argentina. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Catedra de Diversidad Animal I; Argentina
Materia
Opiliofauna
Potential distribution
Biogeographic patterns
South America
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:11336/7965
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)Simó, MiguelGuerrero, José CarlosGiuliani, LeandroCastellano, IsmaelAcosta, Luis EduardoOpiliofaunaPotential distributionBiogeographic patternsSouth Americahttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Background: Harvestmen are a good taxon for biogeographic studies due to their low vagility and their dependence on environmental conditions which make most of them live in humid and shaded habitats. Current knowledge of the geographical distribution of Uruguayan opiliofauna suggests that no evident zoogeographic areas are present, mainly because of the apparent uniformity of the landscape of this country. Recent biogeographic studies indicate that Uruguay represents a biogeographical crossroad between three South American provinces, and the aim of this study is focused on determining if this fact is reflected in the distribution of the Uruguayan opiliofauna. To test this presumption, we used the species distribution model methodology. Distribution data about four harvestmen species from Uruguay and neighboring countries were analyzed. We used the maximum entropy principle to perform a distribution model for each species. Results: We recognized Acanthopachylus aculeatus and Pachyloides thorellii as two Pampasic representatives of the Uruguayan opiliofauna. The other species studied, Discocyrtus prospicuus and Metalibitia paraguayensis, reflect Mesopotamian and Paranaense influences in the Uruguayan territory. Isothermality was the climatic variable with the best contribution in the models of the four species, reflecting constrained latitudinal ranges. Conclusions: Results of the present study suggest that two roughly different opiliological areas for Uruguay can be recognized, based on climatic variables.Fil: Simó, Miguel. Universidad de la Republica; Uruguay. Museo Nacional de Historia Natural Nacional; UruguayFil: Guerrero, José Carlos. Universidad de la Republica; UruguayFil: Giuliani, Leandro. Universidad de la Republica; UruguayFil: Castellano, Ismael. Universidad de la Republica; UruguayFil: Acosta, Luis Eduardo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Cordoba. Instituto de Diversidad y Ecologia Animal; Argentina. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Catedra de Diversidad Animal I; ArgentinaAcad Sinica Inst Zoology2014-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/7965Simó, Miguel; Guerrero, José Carlos; Giuliani, Leandro; Castellano, Ismael; Acosta, Luis Eduardo; A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones); Acad Sinica Inst Zoology; Zoological Studies; 53; 50; 8-2014; 1-131021-5506enginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1186/s40555-014-0050-2info:eu-repo/semantics/altIdentifier/url/https://zoologicalstudies.springeropen.com/articles/10.1186/s40555-014-0050-2info:eu-repo/semantics/altIdentifier/doi/10.1186/s40555-014-0050-2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:44:47Zoai:ri.conicet.gov.ar:11336/7965instacron: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:34982025-09-03 09:44:47.348CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)
title A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)
spellingShingle A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)
Simó, Miguel
Opiliofauna
Potential distribution
Biogeographic patterns
South America
title_short A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)
title_full A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)
title_fullStr A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)
title_full_unstemmed A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)
title_sort A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones)
dc.creator.none.fl_str_mv Simó, Miguel
Guerrero, José Carlos
Giuliani, Leandro
Castellano, Ismael
Acosta, Luis Eduardo
author Simó, Miguel
author_facet Simó, Miguel
Guerrero, José Carlos
Giuliani, Leandro
Castellano, Ismael
Acosta, Luis Eduardo
author_role author
author2 Guerrero, José Carlos
Giuliani, Leandro
Castellano, Ismael
Acosta, Luis Eduardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Opiliofauna
Potential distribution
Biogeographic patterns
South America
topic Opiliofauna
Potential distribution
Biogeographic patterns
South America
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Background: Harvestmen are a good taxon for biogeographic studies due to their low vagility and their dependence on environmental conditions which make most of them live in humid and shaded habitats. Current knowledge of the geographical distribution of Uruguayan opiliofauna suggests that no evident zoogeographic areas are present, mainly because of the apparent uniformity of the landscape of this country. Recent biogeographic studies indicate that Uruguay represents a biogeographical crossroad between three South American provinces, and the aim of this study is focused on determining if this fact is reflected in the distribution of the Uruguayan opiliofauna. To test this presumption, we used the species distribution model methodology. Distribution data about four harvestmen species from Uruguay and neighboring countries were analyzed. We used the maximum entropy principle to perform a distribution model for each species. Results: We recognized Acanthopachylus aculeatus and Pachyloides thorellii as two Pampasic representatives of the Uruguayan opiliofauna. The other species studied, Discocyrtus prospicuus and Metalibitia paraguayensis, reflect Mesopotamian and Paranaense influences in the Uruguayan territory. Isothermality was the climatic variable with the best contribution in the models of the four species, reflecting constrained latitudinal ranges. Conclusions: Results of the present study suggest that two roughly different opiliological areas for Uruguay can be recognized, based on climatic variables.
Fil: Simó, Miguel. Universidad de la Republica; Uruguay. Museo Nacional de Historia Natural Nacional; Uruguay
Fil: Guerrero, José Carlos. Universidad de la Republica; Uruguay
Fil: Giuliani, Leandro. Universidad de la Republica; Uruguay
Fil: Castellano, Ismael. Universidad de la Republica; Uruguay
Fil: Acosta, Luis Eduardo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Cordoba. Instituto de Diversidad y Ecologia Animal; Argentina. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Catedra de Diversidad Animal I; Argentina
description Background: Harvestmen are a good taxon for biogeographic studies due to their low vagility and their dependence on environmental conditions which make most of them live in humid and shaded habitats. Current knowledge of the geographical distribution of Uruguayan opiliofauna suggests that no evident zoogeographic areas are present, mainly because of the apparent uniformity of the landscape of this country. Recent biogeographic studies indicate that Uruguay represents a biogeographical crossroad between three South American provinces, and the aim of this study is focused on determining if this fact is reflected in the distribution of the Uruguayan opiliofauna. To test this presumption, we used the species distribution model methodology. Distribution data about four harvestmen species from Uruguay and neighboring countries were analyzed. We used the maximum entropy principle to perform a distribution model for each species. Results: We recognized Acanthopachylus aculeatus and Pachyloides thorellii as two Pampasic representatives of the Uruguayan opiliofauna. The other species studied, Discocyrtus prospicuus and Metalibitia paraguayensis, reflect Mesopotamian and Paranaense influences in the Uruguayan territory. Isothermality was the climatic variable with the best contribution in the models of the four species, reflecting constrained latitudinal ranges. Conclusions: Results of the present study suggest that two roughly different opiliological areas for Uruguay can be recognized, based on climatic variables.
publishDate 2014
dc.date.none.fl_str_mv 2014-08
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/11336/7965
Simó, Miguel; Guerrero, José Carlos; Giuliani, Leandro; Castellano, Ismael; Acosta, Luis Eduardo; A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones); Acad Sinica Inst Zoology; Zoological Studies; 53; 50; 8-2014; 1-13
1021-5506
url http://hdl.handle.net/11336/7965
identifier_str_mv Simó, Miguel; Guerrero, José Carlos; Giuliani, Leandro; Castellano, Ismael; Acosta, Luis Eduardo; A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones); Acad Sinica Inst Zoology; Zoological Studies; 53; 50; 8-2014; 1-13
1021-5506
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1186/s40555-014-0050-2
info:eu-repo/semantics/altIdentifier/url/https://zoologicalstudies.springeropen.com/articles/10.1186/s40555-014-0050-2
info:eu-repo/semantics/altIdentifier/doi/10.1186/s40555-014-0050-2
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 Acad Sinica Inst Zoology
publisher.none.fl_str_mv Acad Sinica Inst Zoology
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 13.13397

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