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Modern forestry systems rely on typologies of forest types (FTs). In Argentina, several proposals have been developed, but they lack unified criteria. The objective was to compare different approaches, specifically focusing on (i) phenoclusters (functional forests based on vegetation phenology variations and climate variables) and (ii) forest canopy cover composition by tree species. We conducted comparative uni-variate analyses using data from national [ver mas...]
dc.contributor.authorMartínez Pastur, Guillermo José
dc.contributor.authorLoto, Dante
dc.contributor.authorRodríguez‑Souilla, Julián
dc.contributor.authorSilveira, Eduarda M.O.
dc.contributor.authorCellini, Juan Manuel
dc.contributor.authorPeri, Pablo Luis
dc.date.accessioned2024-05-09T09:43:54Z
dc.date.available2024-05-09T09:43:54Z
dc.date.issued2024-04-24
dc.identifier.citationMartínez Pastur G.; Loto D.; Rodríguez-Souilla J.; Silveira E.M.O.; Cellini J.M.; Peri P.L. (2024) Different approaches of forest type classifications for Argentina based on functional forests and canopy cover composition by tree species. Resources 13: 62. https://doi.org/10.3390/resources13050062es_AR
dc.identifier.issn2079-9276 (electronic)
dc.identifier.otherhttps://doi.org/10.3390/resources13050062
dc.identifier.urihttp://hdl.handle.net/20.500.12123/17676
dc.identifier.urihttps://www.mdpi.com/2079-9276/13/5/62
dc.description.abstractModern forestry systems rely on typologies of forest types (FTs). In Argentina, several proposals have been developed, but they lack unified criteria. The objective was to compare different approaches, specifically focusing on (i) phenoclusters (functional forests based on vegetation phenology variations and climate variables) and (ii) forest canopy cover composition by tree species. We conducted comparative uni-variate analyses using data from national forest inventories, forest models (biodiversity, carbon, structure), and regional climate. We assessed the performance of phenoclusters in differentiating the variability of native forests (proxy: forest structure), biodiversity (proxy: indicator species), and environmental factors (proxies: soil carbon stock, elevation, climate). Additionally, we proposed a simple FT classification methodology based on species composition, considering the basal area of tree species. Finally, we compared the performance of both proposals. Our findings showed that classifications based on forest canopy cover composition are feasible to implement in regions dominated by mono-specific forests. However, phenoclusters allowed for the increased complexity of categories at the landscape level. Conversely, in regions where multi-specific stands prevailed, classifications based on forest canopy cover composition proved ineffective; however, phenoclusters facilitated a reduction in complexity at the landscape level. These results offer a pathway to harmonize national FT classifications by employing criteria and indicators to achieve sustainable forest management and conservation initiatives.eng
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.sourceResources 13 (5) : 62. (April 2024)es_AR
dc.subjectPrimary Forestseng
dc.subjectBosques Primarioses_AR
dc.subjectForest Resourceseng
dc.subjectRecursos Forestaleses_AR
dc.subjectSustainable Land Managementeng
dc.subjectGestión Sostenible de la Tierraes_AR
dc.subjectForest Managementeng
dc.subjectOrdenación Forestales_AR
dc.subjectPhenologyeng
dc.subjectFenologíaes_AR
dc.subjectBiodiversityeng
dc.subjectBiodiversidades_AR
dc.subjectCarboneng
dc.subjectCarbonoes_AR
dc.subjectArgentinaes_AR
dc.subject.otherPhenoclusterseng
dc.subject.otherFenoclusterses_AR
dc.subject.otherForest Structure and Functioneng
dc.subject.otherEstructura Funcional Forestales_AR
dc.subject.otherClimate Variableseng
dc.subject.otherVariables Climáticases_AR
dc.subject.otherForest Canopy Cover Compositioneng
dc.subject.otherComposición de la Cubierta del Dosel Forestales_AR
dc.subject.otherTree Specieseng
dc.subject.otherEspecies de Arboleses_AR
dc.titleDifferent Approaches of Forest Type Classifications for Argentina Based on Functional Forests and Canopy Cover Composition by Tree Specieses_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. Centro Austral de Investigaciones Científicas (CADIC); Argentina.es_AR
dc.description.filFil: Loto, Dante. Universidad Nacional de Santiago del Estero. Instituto de Silvicultura y Manejo de Bosques; Argentina.es_AR
dc.description.filFil: Loto, Dante. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: Rodríguez‑Souilla, Julián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas (CADIC); Argentina.es_AR
dc.description.filFil: Silveira, Eduarda M.O. University of Wisconsin. Department of Forest and Wildlife Ecology. SILVIS Lab.; Estados Unidos.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: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria Santa Cruz; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.es_AR
dc.subtypecientifico


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