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resumen

Resumen
Data on tree biomass are essential for understanding the forest carbon cycle and plant adaptations to the environment. We determined biomass accumulation and allometric relationships in the partitioning of biomass between aboveground woody biomass, leaves and roots in Nothofagus antarctica. We measured above- and belowground biomass of N. antarctica trees across different ages (5–220 years) and crown classes (dominant, codominant, intermediate and [ver mas...]
dc.contributor.authorGargaglione, Veronica Beatriz
dc.contributor.authorPeri, Pablo Luis
dc.contributor.authorRubio, Gerardo
dc.date.accessioned2020-07-31T12:08:43Z
dc.date.available2020-07-31T12:08:43Z
dc.date.issued2010-03
dc.identifier.issn0378-1127
dc.identifier.otherhttps://doi.org/10.1016/j.foreco.2009.12.025
dc.identifier.urihttp://hdl.handle.net/20.500.12123/7648
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S037811270900913X
dc.description.abstractData on tree biomass are essential for understanding the forest carbon cycle and plant adaptations to the environment. We determined biomass accumulation and allometric relationships in the partitioning of biomass between aboveground woody biomass, leaves and roots in Nothofagus antarctica. We measured above- and belowground biomass of N. antarctica trees across different ages (5–220 years) and crown classes (dominant, codominant, intermediate and suppressed) in three site qualities. The biomass allocation patterns were studied by fitting allometric functions in biomass partitioning between leaves (ML), stem and branches (MS) and roots (MR). These patterns were tested for all pooled data and according to site quality and crown classes. Biomass accumulation varied with crown class and site quality. The root component represented 26–72% of the total biomass depending on age and site. N. antarctica scaling exponents for the relationships ML vs. MS, MA vs. MR, and MS vs. MR were close to those predicted by the allometric biomass partitioning model. However, when biomass allocation was analyzed by site quality the scaling exponents varied following the optimal partitioning theory which states that plants should allocate more biomass to the part of the plant that acquires the most limiting resource. In contrast, the crown class effect on biomass partitioning was almost negligible. In conclusion, to obtain accurate estimations of biomass in N. antarctica trees the allometric approach appears as an useful tool but the site quality should be taken into consideration.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceForest Ecology and Management 259 (6) : 1118-1126 (March 2010)es_AR
dc.subjectNothofaguses_AR
dc.subjectBiomasaes_AR
dc.subjectBiomasseng
dc.subjectAlometríaes_AR
dc.subjectAllometryeng
dc.subjectBiomasa por Debajo del Sueloes_AR
dc.subjectBelow Ground Biomasseng
dc.subjectBiomasa sobre el Sueloes_AR
dc.subjectAbove Ground Biomasseng
dc.subject.otherNothofagus antarcticaes_AR
dc.titleAllometric relations for biomass partitioning of Nothofagus antarctica trees of different crown classes over a site quality gradientes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Santa Cruzes_AR
dc.description.filFil: Gargaglione, Veronica Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Rubio, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires; Argentinaes_AR
dc.subtypecientifico


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