Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia

ABSTRACT: Our objective was to explore the spatial distribution patterns of amphibian species richness in Antioquia, as model for the tropical Andes, and determine how annual mean temperature, annual precipitation, and elevation range influence it. We also briefly compare local and global regression...

Full description

Autores:
Ortiz Yusty, ‪Carlos Eduardo
Páez Nieto, Vivian Patricia
Zapata Rivera, Fernando Alberto
Tipo de recurso:
Article of investigation
Fecha de publicación:
2013
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/22196
Acceso en línea:
http://hdl.handle.net/10495/22196
https://revistas.unal.edu.co/index.php/cal/article/view/39098
Palabra clave:
Amphibians
Anfibios
Especies
Species
Modelos de regresión
http://aims.fao.org/aos/agrovoc/c_359
http://aims.fao.org/aos/agrovoc/c_7280
Rights
openAccess
License
http://creativecommons.org/licenses/by/2.5/co/
id UDEA2_4b95e069a831c69097fd4d897d3fcb42
oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/22196
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia
dc.title.alternative.spa.fl_str_mv Temperatura y precipitación como elementos de predicción de la riqueza de especies de anfibios del norte de los Andes en Colombia
title Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia
spellingShingle Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia
Amphibians
Anfibios
Especies
Species
Modelos de regresión
http://aims.fao.org/aos/agrovoc/c_359
http://aims.fao.org/aos/agrovoc/c_7280
title_short Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia
title_full Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia
title_fullStr Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia
title_full_unstemmed Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia
title_sort Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia
dc.creator.fl_str_mv Ortiz Yusty, ‪Carlos Eduardo
Páez Nieto, Vivian Patricia
Zapata Rivera, Fernando Alberto
dc.contributor.author.none.fl_str_mv Ortiz Yusty, ‪Carlos Eduardo
Páez Nieto, Vivian Patricia
Zapata Rivera, Fernando Alberto
dc.subject.agrovoc.none.fl_str_mv Amphibians
Anfibios
Especies
Species
topic Amphibians
Anfibios
Especies
Species
Modelos de regresión
http://aims.fao.org/aos/agrovoc/c_359
http://aims.fao.org/aos/agrovoc/c_7280
dc.subject.proposal.spa.fl_str_mv Modelos de regresión
dc.subject.agrovocuri.none.fl_str_mv http://aims.fao.org/aos/agrovoc/c_359
http://aims.fao.org/aos/agrovoc/c_7280
description ABSTRACT: Our objective was to explore the spatial distribution patterns of amphibian species richness in Antioquia, as model for the tropical Andes, and determine how annual mean temperature, annual precipitation, and elevation range influence it. We also briefly compare local and global regression models for estimating the relation between environmental variables and species richness. Distribution maps for 223 amphibian species and environmental variables were generalized onto grid maps of 752 blocks each covering the entire Department of Antioquia. We explored the relationship between species richness and environment using two global regression models (the Ordinary Least Squares “OLS” and Generalized Linear Squares “GLS” models) and one local model (the Geographically Weighted Regression “GWR” model). We found a significant relationship between species richness and environmental variables (GLS r2: 0.869; GRW r2: 0.929). The GLS model efficiently incorporated the spatial autocorrelation effect and handled spatial dependence in the regression error terms while the GWR model showed the best fit (r2) and balance between number of parameters and fit (AICc). GWR parameters show wide variation within the study area, indicating that relationship between species richness and climate is spatially complex. Temperature was the most important variable in the GLS and GWR models, and altitude range the least significant. The strong relationship between environment and amphibian richness is possibly due to life history traits of amphibians, such as ectothermy and water dependency to complete the life cycle.
publishDate 2013
dc.date.issued.none.fl_str_mv 2013
dc.date.accessioned.none.fl_str_mv 2021-09-04T12:57:12Z
dc.date.available.none.fl_str_mv 2021-09-04T12:57:12Z
dc.type.spa.fl_str_mv info:eu-repo/semantics/article
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dc.type.local.spa.fl_str_mv Artículo de investigación
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dc.identifier.citation.spa.fl_str_mv Ortiz, C., Páez, V., & Zapata, F. (2013). Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia. Caldasia, 35(1). Recuperado a partir de https://revistas.unal.edu.co/index.php/cal/article/view/39098
dc.identifier.issn.none.fl_str_mv 0366-5232
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/22196
dc.identifier.eissn.none.fl_str_mv 2357-3759
dc.identifier.url.spa.fl_str_mv https://revistas.unal.edu.co/index.php/cal/article/view/39098
identifier_str_mv Ortiz, C., Páez, V., & Zapata, F. (2013). Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia. Caldasia, 35(1). Recuperado a partir de https://revistas.unal.edu.co/index.php/cal/article/view/39098
0366-5232
2357-3759
url http://hdl.handle.net/10495/22196
https://revistas.unal.edu.co/index.php/cal/article/view/39098
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Caldasia
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by/2.5/co/
dc.rights.accessrights.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.creativecommons.spa.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/co/
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.format.extent.spa.fl_str_mv 16
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia, Facultad de Ciencias, Instituto de Ciencias Naturales
dc.publisher.group.spa.fl_str_mv Grupo Herpetológico de Antioquia
dc.publisher.place.spa.fl_str_mv Bogotá, Colombia
institution Universidad de Antioquia
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repository.name.fl_str_mv Repositorio Institucional Universidad de Antioquia
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spelling Ortiz Yusty, ‪Carlos EduardoPáez Nieto, Vivian PatriciaZapata Rivera, Fernando Alberto2021-09-04T12:57:12Z2021-09-04T12:57:12Z2013Ortiz, C., Páez, V., & Zapata, F. (2013). Temperature and precipitation as predictors of species richness in northern andean amphibians from Colombia. Caldasia, 35(1). Recuperado a partir de https://revistas.unal.edu.co/index.php/cal/article/view/390980366-5232http://hdl.handle.net/10495/221962357-3759https://revistas.unal.edu.co/index.php/cal/article/view/39098ABSTRACT: Our objective was to explore the spatial distribution patterns of amphibian species richness in Antioquia, as model for the tropical Andes, and determine how annual mean temperature, annual precipitation, and elevation range influence it. We also briefly compare local and global regression models for estimating the relation between environmental variables and species richness. Distribution maps for 223 amphibian species and environmental variables were generalized onto grid maps of 752 blocks each covering the entire Department of Antioquia. We explored the relationship between species richness and environment using two global regression models (the Ordinary Least Squares “OLS” and Generalized Linear Squares “GLS” models) and one local model (the Geographically Weighted Regression “GWR” model). We found a significant relationship between species richness and environmental variables (GLS r2: 0.869; GRW r2: 0.929). The GLS model efficiently incorporated the spatial autocorrelation effect and handled spatial dependence in the regression error terms while the GWR model showed the best fit (r2) and balance between number of parameters and fit (AICc). GWR parameters show wide variation within the study area, indicating that relationship between species richness and climate is spatially complex. Temperature was the most important variable in the GLS and GWR models, and altitude range the least significant. The strong relationship between environment and amphibian richness is possibly due to life history traits of amphibians, such as ectothermy and water dependency to complete the life cycle.RESUMEN: Nuestro objetivo fue el de explorar el patrón de distribución espacial de la riqueza de especies de anfibios en el departamento de Antioquia, Colombia y determinar cómo la temperatura anual, la precipitación anual y la heterogeneidad altitudinal afecta este patrón, como modelo para los Andes tropicales. Para ello, delineamos mapas de distribución de 223 especies de anfibios que habitan en Antioquia y junto a mapas de las variables ambientales se generalizaron en cuadrículas de 752 celdas que cubrían todo del departamento. La relación entre riqueza de especies y ambiente fue determinada utilizando dos modelos globales de regresión (modelo OLS y GLS) y un modelo local (modelo GWR). Se encontró una relación significativa entre la riqueza de especies y el clima (GLS r2: 0.869; GRW r2: 0.929), donde la temperatura fue la variable más importante, mientras que la heterogeneidad altitudinal no fue significativa. El modelo GLS mostró mayor eficiencia en incorporar el efecto de la autocorrelación espacial en los términos del error, mientras que el modelo GWR mostró un ajuste mayor (r2) y mejor balance entre número de parámetros y ajuste (AICc). Los coeficientes de regresión en el modelo WGR mostraron una gran variación a lo largo del área de estudio, indicando que la relación entre la riqueza de especies y las variables climáticas es espacialmente compleja. La fuerte relación entre ambiente y riqueza de especies de anfibios puede atribuirse a las características de historia de vida como la condición de ectotermos y la dependencia de humedad para la reproducción.COL000737316application/pdfengUniversidad Nacional de Colombia, Facultad de Ciencias, Instituto de Ciencias NaturalesGrupo Herpetológico de AntioquiaBogotá, Colombiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by/4.0/Temperature and precipitation as predictors of species richness in northern andean amphibians from ColombiaTemperatura y precipitación como elementos de predicción de la riqueza de especies de anfibios del norte de los Andes en ColombiaAmphibiansAnfibiosEspeciesSpeciesModelos de regresiónhttp://aims.fao.org/aos/agrovoc/c_359http://aims.fao.org/aos/agrovoc/c_7280CaldasiaCaldasia6580351ORIGINALPáezVivian_2013_SpeciesRichnessAmphibians.pdfPáezVivian_2013_SpeciesRichnessAmphibians.pdfArtículo de investigaciónapplication/pdf681761http://bibliotecadigital.udea.edu.co/bitstream/10495/22196/1/P%c3%a1ezVivian_2013_SpeciesRichnessAmphibians.pdffb9605081a4b134b8f6e28a444995010MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927http://bibliotecadigital.udea.edu.co/bitstream/10495/22196/2/license_rdf1646d1f6b96dbbbc38035efc9239ac9cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://bibliotecadigital.udea.edu.co/bitstream/10495/22196/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310495/22196oai:bibliotecadigital.udea.edu.co:10495/221962021-09-04 07:57:13.224Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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