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Background: The conversion of forests into agricultural lands can be a threat because the forests carbon stored could be a source of emissions. The capacity to improve the predictions on the consequences of land use change depends on the identification of factors that influence carbon pools. We investigated the key driving factors of tree biomass and soil carbon pools in xerophytic forests in northeastern Argentina. Based on analyses of forest structure [ver mas...]
dc.contributor.authorSione, Silvana María José
dc.contributor.authorWilson, Marcelo German
dc.contributor.authorLedesma, Silvia Gabriela
dc.contributor.authorGabioud, Emmanuel Adrian
dc.contributor.authorOszust, José Daniel
dc.contributor.authorRosenberger, Leandro Javier
dc.date.accessioned2024-01-09T13:49:03Z
dc.date.available2024-01-09T13:49:03Z
dc.date.issued2023-12
dc.identifier.issn2192-1709
dc.identifier.otherhttps://doi.org/10.1186/s13717-023-00478-1
dc.identifier.urihttp://hdl.handle.net/20.500.12123/16487
dc.identifier.urihttps://ecologicalprocesses.springeropen.com/articles/10.1186/s13717-023-00478-1
dc.description.abstractBackground: The conversion of forests into agricultural lands can be a threat because the forests carbon stored could be a source of emissions. The capacity to improve the predictions on the consequences of land use change depends on the identification of factors that influence carbon pools. We investigated the key driving factors of tree biomass and soil carbon pools in xerophytic forests in northeastern Argentina. Based on analyses of forest structure variables and abiotic factors (topography and soil properties) from 18 mature forests, we evaluated carbon pools using uni- and multivariate (redundancy analysis) methods. Results: The total carbon pool was estimated at 102.4 ± 24.0 Mg ha−1. Soil organic carbon storage is the single largest carbon pool relative to tree biomass, representing 73.1% of total carbon. Tree canopy cover and basal area were positively correlated with biomass carbon pool (r = 0.77 and r = 0.73, p < 0.001, respectively), proving to be significant drivers of carbon storage in this compartment. Slope, soil clay content and cation-exchange capacity had a better explanation for the variability in soil carbon pools, and all showed significant positive correlations with soil carbon pools (r = 0.64, 0.60 and 0.50; p < 0.05, respectively). The vertisols showed a 27.8% higher soil carbon stock than alfisols. Conclusions: The relevance of our study stems from a dearth of information on carbon pools and their drivers in xerophytic forests, and in particular, the importance of this ecosystems’ type for Argentina, because they cover 81.9% of native forest area. Basal area and tree canopy cover exert a strong effect on the carbon pool in tree biomass but not in the soil. The results suggests that there is a potentially major SOC accumulation in forests located in slightly sloping areas and soils with higher topsoil clay content, such as vertisols. This could provide an important reference for implementing forestry carbon sink projects.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringeres_AR
dc.relationinfo:eu-repograntAgreement/INTA/2019-PE-E2-I040-002, Diseño e implementación de un sistema nacional de monitoreo de la degradación a distintas escalas, con meta en la neutralidad de la degradación de tierrases_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceEcological Processes 12 : Article number: 64 (December 2023)es_AR
dc.subjectBosqueses_AR
dc.subjectForestseng
dc.subjectBiomasaes_AR
dc.subjectBiomasseng
dc.subjectXerofitases_AR
dc.subjectXerophyteseng
dc.subjectSueloes_AR
dc.subjectSoileng
dc.subjectCarbonoes_AR
dc.subjectCarboneng
dc.subjectServicios de los Ecosistemases_AR
dc.subjectEcosystem Serviceseng
dc.subject.otherRegión Noreste, Argentinaes_AR
dc.titleDriving factors of tree biomass and soil carbon pool in xerophytic forests of northeastern Argentinaes_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)es_AR
dc.description.origenEEA Paranáes_AR
dc.description.filFil: Sione, Silvana María José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación Científica y de Transferencia Tecnológica a la Producción; Argentinaes_AR
dc.description.filFil: Sione, Silvana María José. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentinaes_AR
dc.description.filFil: Wilson, Marcelo G. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentinaes_AR
dc.description.filFil: Ledesma, Silvia Gabriela. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentinaes_AR
dc.description.filFil: Gabioud, Emmanuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentinaes_AR
dc.description.filFil: Oszust, José Daniel. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentinaes_AR
dc.description.filFil: Rosenberger, Leandro Javier. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentinaes_AR
dc.subtypecientifico


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