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Soil nitrogen (SN) and soil phosphorus (SP) contents support several ecosystem services and define the forest type distribution at local scale in Southern Patagonia. The quantification of nutrients during forest surveys requires soil samplings and estimations that are costly and difficult to measure. For this, predictive models of soil nutrients are needed. The objective of this study was to quantify SN and SP contents (30 cm depth) using different [ver mas...]
dc.contributor.authorMartínez Pastur, Guillermo José
dc.contributor.authorAravena Acuña, Marie-Claire
dc.contributor.authorChaves, Jimena Elizabeth
dc.contributor.authorCellini, Juan Manuel
dc.contributor.authorSilveira, Eduarda M.O.
dc.contributor.authorRodríguez‑Souilla, Julián
dc.contributor.authorVon Müller, Axel
dc.contributor.authorLa Manna, Ludmila
dc.contributor.authorLencinas, María Vanessa
dc.contributor.authorPeri, Pablo Luis
dc.date.accessioned2023-06-15T11:25:20Z
dc.date.available2023-06-15T11:25:20Z
dc.date.issued2023-04-28
dc.identifier.citationMartínez Pastur G.; Aravena Acuña M.C.; Chaves J.E.; Cellini J.M.; Silveira E.M.O.; Rodríguez-Souilla J.; Von Müller A.; La Manna L.; Lencinas M.V.; Peri P.L. (2023) Nitrogenous and phosphorus soil contents in Tierra del Fuego Forests: Relationships with soil organic carbon, climate, vegetation and landscape metrics. Land 12: 983. https://doi.org/10.3390/land12050983es_AR
dc.identifier.issn2073-445X
dc.identifier.otherhttps://doi.org/10.3390/land12050983
dc.identifier.urihttp://hdl.handle.net/20.500.12123/14628
dc.identifier.urihttps://www.mdpi.com/2073-445X/12/5/983
dc.description.abstractSoil nitrogen (SN) and soil phosphorus (SP) contents support several ecosystem services and define the forest type distribution at local scale in Southern Patagonia. The quantification of nutrients during forest surveys requires soil samplings and estimations that are costly and difficult to measure. For this, predictive models of soil nutrients are needed. The objective of this study was to quantify SN and SP contents (30 cm depth) using different modelling approaches based on climatic, topographic and vegetation variables. We used data from 728 stands of different forest types for linear regression models to map SN and SP. The fitted models captured the variability of forest types well (R2-adj. 92–98% for SN and 70–87% for SP). The means were 9.3 ton ha−1 for SN and 124.3 kg ha−1 for SP. Overall, SN values were higher in the deciduous forests than those in the mixed evergreen, while SP was the highest in the Nothofagus pumilio forests. SN and SP are relevant metrics for many applications, connecting major issues, such as forest management and conservation. With these models, the quantification of SN and SP stocks across forests of different protection status (National Law 26,331/07) and national/provincial reserve networks is possible, contributing to the determination of nutrient contents at landscape level.es_AR
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherMDPIes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceLand 12 : 983. (May 2023)es_AR
dc.subjectPrimary Forestseng
dc.subjectBosque Primarioes_AR
dc.subjectSoileng
dc.subjectSueloes_AR
dc.subjectNitrogeneng
dc.subjectNitrógenoes_AR
dc.subjectPhosphoruseng
dc.subjectFósforoes_AR
dc.subjectEcosistem Serviceseng
dc.subjectServicios de los Ecosistemases_AR
dc.subjectForest Types (by species composition)eng
dc.subjectTipos Forestaleses_AR
dc.subjectModelseng
dc.subjectModeloses_AR
dc.subjectDeciduous Summer Forestseng
dc.subjectBosques de Frondosas Caducases_AR
dc.subjectEvergreen mixed forestses_AR
dc.subjectBosques mixtos siempreverdeses_AR
dc.subjectNothofagus pumilioes_AR
dc.subjectForest managementes_AR
dc.subjectManejo forestal sustentablees_AR
dc.subjectConservationes_AR
dc.subjectConservaciónes_AR
dc.subjectSoil fertilityes_AR
dc.subjectFertilidad del sueloes_AR
dc.subjectTierra del Fuego (Argentina)es_AR
dc.subject.otherLand use planninges_AR
dc.subject.otherPlanificación del uso del sueloes_AR
dc.subject.otherVegetation productivityes_AR
dc.subject.otherProductividad de la vegetaciónes_AR
dc.subject.otherForest structurees_AR
dc.subject.otherEstructura forestales_AR
dc.subject.otherLinear regressiones_AR
dc.subject.otherRegresión lineales_AR
dc.subject.otherRegión Patagónicaes_AR
dc.titleNitrogenous and Phosphorus Soil Contents in Tierra del Fuego Forests: Relationships with Soil Organic Carbon, Climate, Vegetation and Landscape Metricses_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 Santa Cruzes_AR
dc.description.filFil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Centro Austral de Investigaciones Científicas (CADIC). Ushuaia. Tierra del Fuego; Argentina.es_AR
dc.description.filFil: Aravena Acuña, Marie-Claire. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Centro Austral de Investigaciones Científicas (CADIC). Ushuaia. Tierra del Fuego; Argentina.es_AR
dc.description.filFil: Chaves, Jimena Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Centro Austral de Investigaciones Científicas (CADIC). Ushuaia. Tierra del Fuego; Argentina.es_AR
dc.description.filFil: Cellini, Juan Manuel. Universidad Nacional de la Plata. Facultad de Ciencias Naturales y Museo. Laboratorio de Investigaciones en Maderas; Argentina.es_AR
dc.description.filFil: Silveira, Eduarda M. O. University of Wisconsin. Department of Forest and Wildlife Ecology. SILVIS Lab.; Estados Unidoses_AR
dc.description.filFil: Rodríguez‑Souilla, Julián. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Centro Austral de Investigaciones Científicas (CADIC). Ushuaia. Tierra del Fuego; Argentina.es_AR
dc.description.filFil: Von Müller, Axel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Esquel. Chubut; Argentina.es_AR
dc.description.filFil: La Manna, Ludmila. Universidad Nacional de la Patagonia San Juan Bosco. Centro de Estudios Ambientales Integrados (CEAI). Esquel. Chubut; Argentina.es_AR
dc.description.filFil: La Manna, Ludmila. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Esquel. Chubut; Argentina.es_AR
dc.description.filFil: Lencinas, María Vanessa. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Centro Austral de Investigaciones Científicas (CADIC). Ushuaia. Tierra del Fuego; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria Santa Cruz; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral (UNPA). Santa Cruz; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); Argentina.es_AR
dc.subtypecientifico


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