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resumen

Resumen
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 [ver mas...]
dc.contributor.authorRauber, Ruth Bibiana
dc.contributor.authorMartini, Juan Pablo
dc.contributor.authorCendoya, María Alicia
dc.contributor.authorBogino, Stella Marys
dc.coverage.spatialSouth America .......... (continent) (World)es_AR
dc.coverage.spatial1000002es_AR
dc.date.accessioned2025-06-17T16:40:56Z
dc.date.available2025-06-17T16:40:56Z
dc.date.issued2023-04
dc.identifier.issn0340-269X
dc.identifier.otherhttps://doi.org/10.1127/phyto/2023/0412
dc.identifier.urihttp://hdl.handle.net/20.500.12123/22710
dc.identifier.urihttps://www.schweizerbart.de/papers/phyto/detail/prepub/102869/Potential_niche_for_Pinus_halepensis_Mill_invasion_in_South_America_a_modelling_approach
dc.description.abstractBiological 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSchweizerbart Science Publisherses_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourcePhytocoenologia 51(4) : 357-366. (April 2023)es_AR
dc.subjectPinus halepensises_AR
dc.subjectAmérica del Sures_AR
dc.subjectSouth Americaeng
dc.subjectModelizaciónes_AR
dc.subjectModellingeng
dc.subjectEvaluaciónes_AR
dc.subjectAssessmenteng
dc.subjectEspecies Invasivases_AR
dc.subjectInvasive Specieseng
dc.subjectInvasiones Biológicases_AR
dc.subjectBiological Invasionseng
dc.titlePotential niche for Pinus halepensis Mill. invasion in South America: a modelling approacheng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA San Luises_AR
dc.description.filFil: Rauber, Ruth Bibiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentinaes_AR
dc.description.filFil: Rauber, Ruth Bibiana. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). CCT San Luis; Argentinaes_AR
dc.description.filFil: Rauber, Ruth Bibiana. Universidad Nacional de Villa Mercedes (UNViMe). Escuela de Ingeniería y Ciencias Ambientales; Argentinaes_AR
dc.description.filFil: Martini, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentinaes_AR
dc.description.filFil: Martini, Juan Pablo. Universidad Nacional de Villa Mercedes (UNViMe). Escuela de Ingeniería y Ciencias Ambientales; Argentinaes_AR
dc.description.filFil: Cendoya, María Alicia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentinaes_AR
dc.description.filFil: Cendoya, María Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). CCT San Luis; Argentinaes_AR
dc.description.filFil: Bogino, Stella Marys. Universidad Nacional de San Luis (UNLS). Departamento de Ciencias Agropecuarias,; Argentinaes_AR
dc.subtypecientifico


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