Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modeling

Detalhes bibliográficos
Autor(a) principal: Costa, Maria da Salete Gurgel
Data de Publicação: 2014
Outros Autores: Batista, Renato de Carvalho, Gurgel-Gonçalves, Rodrigo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum Biological Sciences
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/22165
Resumo: Phacellodomus Reichenbach, 1853, comprises nine species of Furnariids that occur in South America in open and generally dry areas. This study estimated the geographic distributions of Phacellodomus species in South America by ecological niche modeling. Applying maximum entropy method, models were produced for eight species based on six climatic variables and 949 occurrence records. Since highest climatic suitability for Phacellodomus species has been estimated in open and dry areas, the Amazon rainforest areas are not very suitable for these species. Annual precipitation and minimum temperature of the coldest month are the variables that most influence the models. Phacellodomus species occurred in 35 ecoregions of South America. Chaco and Uruguayan savannas were the ecoregions with the highest number of species. Despite the overall connection of Phacellodomus species with dry areas, species such as P. ruber, P. rufifrons, P. ferrugineigula and P. erythrophthalmus occurred in wet forests and wetland ecoregions. 
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spelling Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modelingSynallaxinaeclimatic variablesecoregionsmaxentZoologiaPhacellodomus Reichenbach, 1853, comprises nine species of Furnariids that occur in South America in open and generally dry areas. This study estimated the geographic distributions of Phacellodomus species in South America by ecological niche modeling. Applying maximum entropy method, models were produced for eight species based on six climatic variables and 949 occurrence records. Since highest climatic suitability for Phacellodomus species has been estimated in open and dry areas, the Amazon rainforest areas are not very suitable for these species. Annual precipitation and minimum temperature of the coldest month are the variables that most influence the models. Phacellodomus species occurred in 35 ecoregions of South America. Chaco and Uruguayan savannas were the ecoregions with the highest number of species. Despite the overall connection of Phacellodomus species with dry areas, species such as P. ruber, P. rufifrons, P. ferrugineigula and P. erythrophthalmus occurred in wet forests and wetland ecoregions. Universidade Estadual De Maringá2014-08-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/2216510.4025/actascibiolsci.v36i3.22165Acta Scientiarum. Biological Sciences; Vol 36 No 3 (2014); 299-306Acta Scientiarum. Biological Sciences; v. 36 n. 3 (2014); 299-3061807-863X1679-9283reponame:Acta Scientiarum Biological Sciencesinstname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/22165/pdf_22Costa, Maria da Salete GurgelBatista, Renato de CarvalhoGurgel-Gonçalves, Rodrigoinfo:eu-repo/semantics/openAccess2014-08-21T15:23:24Zoai:periodicos.uem.br/ojs:article/22165Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciBiolSciPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciBiolSci/oai||actabiol@uem.br1807-863X1679-9283opendoar:2014-08-21T15:23:24Acta Scientiarum Biological Sciences - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modeling
title Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modeling
spellingShingle Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modeling
Costa, Maria da Salete Gurgel
Synallaxinae
climatic variables
ecoregions
maxent
Zoologia
title_short Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modeling
title_full Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modeling
title_fullStr Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modeling
title_full_unstemmed Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modeling
title_sort Predicting geographic distributions of Phacellodomus species (Aves: Furnariidae) in South America based on ecological niche modeling
author Costa, Maria da Salete Gurgel
author_facet Costa, Maria da Salete Gurgel
Batista, Renato de Carvalho
Gurgel-Gonçalves, Rodrigo
author_role author
author2 Batista, Renato de Carvalho
Gurgel-Gonçalves, Rodrigo
author2_role author
author
dc.contributor.author.fl_str_mv Costa, Maria da Salete Gurgel
Batista, Renato de Carvalho
Gurgel-Gonçalves, Rodrigo
dc.subject.por.fl_str_mv Synallaxinae
climatic variables
ecoregions
maxent
Zoologia
topic Synallaxinae
climatic variables
ecoregions
maxent
Zoologia
description Phacellodomus Reichenbach, 1853, comprises nine species of Furnariids that occur in South America in open and generally dry areas. This study estimated the geographic distributions of Phacellodomus species in South America by ecological niche modeling. Applying maximum entropy method, models were produced for eight species based on six climatic variables and 949 occurrence records. Since highest climatic suitability for Phacellodomus species has been estimated in open and dry areas, the Amazon rainforest areas are not very suitable for these species. Annual precipitation and minimum temperature of the coldest month are the variables that most influence the models. Phacellodomus species occurred in 35 ecoregions of South America. Chaco and Uruguayan savannas were the ecoregions with the highest number of species. Despite the overall connection of Phacellodomus species with dry areas, species such as P. ruber, P. rufifrons, P. ferrugineigula and P. erythrophthalmus occurred in wet forests and wetland ecoregions. 
publishDate 2014
dc.date.none.fl_str_mv 2014-08-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/22165
10.4025/actascibiolsci.v36i3.22165
url http://www.periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/22165
identifier_str_mv 10.4025/actascibiolsci.v36i3.22165
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/22165/pdf_22
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Biological Sciences; Vol 36 No 3 (2014); 299-306
Acta Scientiarum. Biological Sciences; v. 36 n. 3 (2014); 299-306
1807-863X
1679-9283
reponame:Acta Scientiarum Biological Sciences
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum Biological Sciences
collection Acta Scientiarum Biological Sciences
repository.name.fl_str_mv Acta Scientiarum Biological Sciences - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actabiol@uem.br
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