Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach

Autores
Rauber, Ruth Bibiana; Martini, Juan Pablo; Cendoya, María Alicia; Bogino, Stella Marys
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Biological invasions are a widely known problem throughout the world, because of the damage they cause to the environment and biotic communities. In Argentina, many exotic woody species have been introduced by humans for ornamental or economic purposes, among them Pinus halepensis. This species has a high invasive potential, given its physiological plasticity and stress tolerance. Aims of this study were to determine the envi ronmental variables that favored invasion of P. halepensis, and to assess the habitat suitability for the species throughout South America. For this, we used the maximum entropy algorithm (Maxent) and twenty one cli matic variables from the WorldClim website. The significant predictive variables were the mean temperature of coldest quarter, annual precipitation, isothermality, precipitation of driest month, mean diurnal range, and the mean temperature of wettest quarter. The most suitable areas would correspond to the central-eastern region of Argentina, Uruguay and Central Chile. According to results, the high plasticity of the species, and considering the current discussion on climate change, which predicts an increase in severe droughts and extreme tempera ture events, an even more favorable environment for the invasion of P. halepensis is to be expected.
EEA San Luis
Fil: Rauber, Ruth Bibiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentina
Fil: Rauber, Ruth Bibiana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). CCT San Luis; Argentina
Fil: Rauber, Ruth Bibiana. Universidad Nacional de Villa Mercedes (UNViMe). Escuela de Ingeniería y Ciencias Ambientales; Argentina
Fil: Martini, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentina
Fil: Martini, Juan Pablo. Universidad Nacional de Villa Mercedes (UNViMe). Escuela de Ingeniería y Ciencias Ambientales; Argentina
Fil: Cendoya, María Alicia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentina
Fil: Cendoya, María Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). CCT San Luis; Argentina
Fil: Bogino, Stella Marys. Universidad Nacional de San Luis (UNLS). Departamento de Ciencias Agropecuarias,; Argentina
Fuente
Phytocoenologia 51(4) : 357-366. (April 2023)
Materia
Pinus halepensis
América del Sur
Modelización
Evaluación
Especies Invasivas
Invasiones Biológicas
South America
Modelling
Assessment
Invasive Species
Biological Invasions
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/22710
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oai_identifier_str oai:localhost:20.500.12123/22710
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spelling Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approachRauber, Ruth BibianaMartini, Juan PabloCendoya, María AliciaBogino, Stella MarysPinus halepensisAmérica del SurModelizaciónEvaluaciónEspecies InvasivasInvasiones BiológicasSouth AmericaModellingAssessmentInvasive SpeciesBiological InvasionsBiological invasions are a widely known problem throughout the world, because of the damage they cause to the environment and biotic communities. In Argentina, many exotic woody species have been introduced by humans for ornamental or economic purposes, among them Pinus halepensis. This species has a high invasive potential, given its physiological plasticity and stress tolerance. Aims of this study were to determine the envi ronmental variables that favored invasion of P. halepensis, and to assess the habitat suitability for the species throughout South America. For this, we used the maximum entropy algorithm (Maxent) and twenty one cli matic variables from the WorldClim website. The significant predictive variables were the mean temperature of coldest quarter, annual precipitation, isothermality, precipitation of driest month, mean diurnal range, and the mean temperature of wettest quarter. The most suitable areas would correspond to the central-eastern region of Argentina, Uruguay and Central Chile. According to results, the high plasticity of the species, and considering the current discussion on climate change, which predicts an increase in severe droughts and extreme tempera ture events, an even more favorable environment for the invasion of P. halepensis is to be expected.EEA San LuisFil: Rauber, Ruth Bibiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; ArgentinaFil: Rauber, Ruth Bibiana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). CCT San Luis; ArgentinaFil: Rauber, Ruth Bibiana. Universidad Nacional de Villa Mercedes (UNViMe). Escuela de Ingeniería y Ciencias Ambientales; ArgentinaFil: Martini, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; ArgentinaFil: Martini, Juan Pablo. Universidad Nacional de Villa Mercedes (UNViMe). Escuela de Ingeniería y Ciencias Ambientales; ArgentinaFil: Cendoya, María Alicia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; ArgentinaFil: Cendoya, María Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). CCT San Luis; ArgentinaFil: Bogino, Stella Marys. Universidad Nacional de San Luis (UNLS). Departamento de Ciencias Agropecuarias,; ArgentinaSchweizerbart Science Publishers2025-06-17T16:40:56Z2025-06-17T16:40:56Z2023-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/22710https://www.schweizerbart.de/papers/phyto/detail/prepub/102869/Potential_niche_for_Pinus_halepensis_Mill_invasion_in_South_America_a_modelling_approach0340-269Xhttps://doi.org/10.1127/phyto/2023/0412Phytocoenologia 51(4) : 357-366. (April 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengSouth America .......... (continent) (World)1000002info:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-11-06T09:42:45Zoai:localhost:20.500.12123/22710instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-11-06 09:42:45.54INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach
title Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach
spellingShingle Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach
Rauber, Ruth Bibiana
Pinus halepensis
América del Sur
Modelización
Evaluación
Especies Invasivas
Invasiones Biológicas
South America
Modelling
Assessment
Invasive Species
Biological Invasions
title_short Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach
title_full Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach
title_fullStr Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach
title_full_unstemmed Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach
title_sort Potential niche for Pinus halepensis Mill. invasion in South America: a modelling approach
dc.creator.none.fl_str_mv Rauber, Ruth Bibiana
Martini, Juan Pablo
Cendoya, María Alicia
Bogino, Stella Marys
author Rauber, Ruth Bibiana
author_facet Rauber, Ruth Bibiana
Martini, Juan Pablo
Cendoya, María Alicia
Bogino, Stella Marys
author_role author
author2 Martini, Juan Pablo
Cendoya, María Alicia
Bogino, Stella Marys
author2_role author
author
author
dc.subject.none.fl_str_mv Pinus halepensis
América del Sur
Modelización
Evaluación
Especies Invasivas
Invasiones Biológicas
South America
Modelling
Assessment
Invasive Species
Biological Invasions
topic Pinus halepensis
América del Sur
Modelización
Evaluación
Especies Invasivas
Invasiones Biológicas
South America
Modelling
Assessment
Invasive Species
Biological Invasions
dc.description.none.fl_txt_mv Biological invasions are a widely known problem throughout the world, because of the damage they cause to the environment and biotic communities. In Argentina, many exotic woody species have been introduced by humans for ornamental or economic purposes, among them Pinus halepensis. This species has a high invasive potential, given its physiological plasticity and stress tolerance. Aims of this study were to determine the envi ronmental variables that favored invasion of P. halepensis, and to assess the habitat suitability for the species throughout South America. For this, we used the maximum entropy algorithm (Maxent) and twenty one cli matic variables from the WorldClim website. The significant predictive variables were the mean temperature of coldest quarter, annual precipitation, isothermality, precipitation of driest month, mean diurnal range, and the mean temperature of wettest quarter. The most suitable areas would correspond to the central-eastern region of Argentina, Uruguay and Central Chile. According to results, the high plasticity of the species, and considering the current discussion on climate change, which predicts an increase in severe droughts and extreme tempera ture events, an even more favorable environment for the invasion of P. halepensis is to be expected.
EEA San Luis
Fil: Rauber, Ruth Bibiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentina
Fil: Rauber, Ruth Bibiana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). CCT San Luis; Argentina
Fil: Rauber, Ruth Bibiana. Universidad Nacional de Villa Mercedes (UNViMe). Escuela de Ingeniería y Ciencias Ambientales; Argentina
Fil: Martini, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentina
Fil: Martini, Juan Pablo. Universidad Nacional de Villa Mercedes (UNViMe). Escuela de Ingeniería y Ciencias Ambientales; Argentina
Fil: Cendoya, María Alicia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentina
Fil: Cendoya, María Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). CCT San Luis; Argentina
Fil: Bogino, Stella Marys. Universidad Nacional de San Luis (UNLS). Departamento de Ciencias Agropecuarias,; Argentina
description Biological invasions are a widely known problem throughout the world, because of the damage they cause to the environment and biotic communities. In Argentina, many exotic woody species have been introduced by humans for ornamental or economic purposes, among them Pinus halepensis. This species has a high invasive potential, given its physiological plasticity and stress tolerance. Aims of this study were to determine the envi ronmental variables that favored invasion of P. halepensis, and to assess the habitat suitability for the species throughout South America. For this, we used the maximum entropy algorithm (Maxent) and twenty one cli matic variables from the WorldClim website. The significant predictive variables were the mean temperature of coldest quarter, annual precipitation, isothermality, precipitation of driest month, mean diurnal range, and the mean temperature of wettest quarter. The most suitable areas would correspond to the central-eastern region of Argentina, Uruguay and Central Chile. According to results, the high plasticity of the species, and considering the current discussion on climate change, which predicts an increase in severe droughts and extreme tempera ture events, an even more favorable environment for the invasion of P. halepensis is to be expected.
publishDate 2023
dc.date.none.fl_str_mv 2023-04
2025-06-17T16:40:56Z
2025-06-17T16:40:56Z
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/20.500.12123/22710
https://www.schweizerbart.de/papers/phyto/detail/prepub/102869/Potential_niche_for_Pinus_halepensis_Mill_invasion_in_South_America_a_modelling_approach
0340-269X
https://doi.org/10.1127/phyto/2023/0412
url http://hdl.handle.net/20.500.12123/22710
https://www.schweizerbart.de/papers/phyto/detail/prepub/102869/Potential_niche_for_Pinus_halepensis_Mill_invasion_in_South_America_a_modelling_approach
https://doi.org/10.1127/phyto/2023/0412
identifier_str_mv 0340-269X
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv South America .......... (continent) (World)
1000002
dc.publisher.none.fl_str_mv Schweizerbart Science Publishers
publisher.none.fl_str_mv Schweizerbart Science Publishers
dc.source.none.fl_str_mv Phytocoenologia 51(4) : 357-366. (April 2023)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 13.082534

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