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resumen

Resumen
Logging, grazing, wood extraction, and anthropogenic fires are pervasive throughout the subtropical dry vegetation of South America leading to changes in woodlands structure and ultimately its degradation. The Chac ohaco biome encompasses the second-largest forest in South America and has a long history of intensive use. We sought to characterize the structure and heterogeneity of its woodlands across biogeo graphic subunits and climatic gradients, and [ver mas...]
dc.contributor.authorFerraina, Antonella
dc.contributor.authorBaldi, German
dc.contributor.authorDe Abelleyra, Diego
dc.contributor.authorGrosfeld, Javier
dc.contributor.authorVeron, Santiago Ramón
dc.date.accessioned2022-05-04T10:53:51Z
dc.date.available2022-05-04T10:53:51Z
dc.date.issued2022
dc.identifier.issn1085-3278
dc.identifier.issn1099-145X
dc.identifier.otherhttps://doi.org/10.1002/ldr.4186
dc.identifier.urihttp://hdl.handle.net/20.500.12123/11799
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/abs/10.1002/ldr.4186
dc.description.abstractLogging, grazing, wood extraction, and anthropogenic fires are pervasive throughout the subtropical dry vegetation of South America leading to changes in woodlands structure and ultimately its degradation. The Chac ohaco biome encompasses the second-largest forest in South America and has a long history of intensive use. We sought to characterize the structure and heterogeneity of its woodlands across biogeo graphic subunits and climatic gradients, and evaluate structure controls. We quantified canopy height, cover, vertical complexity, vegetation amount above 3 m and total veg etation amount over 58 woodlands within the Argentinean Chaco by means of terres trial laser scanner. We assessed the relationship between three groups near the maximum, average and minimum values of each structural variable and precipitation, temperature and temperature of the coldest month using quantile regressions. We found large variability in structural attributes within each biogeographical subunit, showing woodland areas with similar structure across broad gradients of climate. This suggests a considerable impact of current and past land use in shaping woodland struc tures across the Chaco. Overall, structural variables were positively associated with precipitation and temperature, albeit more strongly to the former, except for canopy height, which showed a strong association with mean temperature of the coldest month. We hypothesize that land-use impact on woodland structure decreases with increasing precipitation, as the lack of water may limit the recovery of vegetation struc ture. Our results contribute to a better understanding of variation in key structural vari ables of Chaco woodlands in relation to climate and land use.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWileyes_AR
dc.relationinfo:eu-repograntAgreement/INTA/PNBIO-1131034/AR./Inmunología molecular y genómica funcional aplicadas a interacciones patógeno hospedador de interés pecuario.
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceLand Degradation and Development 33 (5) : 723-738. (March 2022)es_AR
dc.subjectLand Useeng
dc.subjectUtilización de la Tierraes_AR
dc.subjectPrecipitationeng
dc.subjectPrecipitación Atmosféricaes_AR
dc.subjectTemperatureeng
dc.subjectTemperaturaes_AR
dc.subjectFormación Boscosa
dc.subjectWoodlandseng
dc.subject.otherCanopy Heighteng
dc.subject.otherAltura del Doseles_AR
dc.subject.otherDry Foresteng
dc.subject.otherBosque Secoes_AR
dc.subject.otherLIDAR Technologyeng
dc.subject.otherTecnología LIDARes_AR
dc.subject.otherTerrestrial Laser Scannereng
dc.subject.otherEscáner Láser Terrestrees_AR
dc.subject.otherRegión Chaqueña
dc.titleAn insight into the patterns and controls of the structure of South American Chaco woodlandses_AR
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)
dc.description.filFil: Ferraina, Antonella. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Baldi, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentinaes_AR
dc.description.filFil: Abelleyra, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Grosfeld, Javier Edgardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico y Tecnológico Patagonia Norte; Argentina. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentinaes_AR
dc.description.filFil: Verón, S. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.subtypecientifico


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