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resumen

Resumen
Using portable acoustic tools, measurements of dynamic modulus of elasticity (Ed) were made in standing ponderosa pine (Pinus ponderosa (Dougl. ex Laws)) trees (n =437) growing in 22 stands encompassing the range of environmental site conditions and ages of the plantations that have been established in NW Patagonia, Argentina. The objectives of this research were to (i) identify the stand and tree-level factors associated with the variation in Ed and, [ver mas...]
dc.contributor.authorCaballe, Gonzalo
dc.contributor.authorSantaclara, Oscar
dc.contributor.authorDiez, Juan Pablo
dc.contributor.authorLetourneau, Federico Jorge
dc.contributor.authorMerlo, Esther
dc.contributor.authorMartinez Meier, Alejandro
dc.date.accessioned2020-03-11T10:41:17Z
dc.date.available2020-03-11T10:41:17Z
dc.date.issued2020-03-01
dc.identifier.issn0378-1127
dc.identifier.otherhttps://doi.org/10.1016/j.foreco.2019.117849
dc.identifier.urihttp://hdl.handle.net/20.500.12123/6917
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0378112719320407
dc.description.abstractUsing portable acoustic tools, measurements of dynamic modulus of elasticity (Ed) were made in standing ponderosa pine (Pinus ponderosa (Dougl. ex Laws)) trees (n =437) growing in 22 stands encompassing the range of environmental site conditions and ages of the plantations that have been established in NW Patagonia, Argentina. The objectives of this research were to (i) identify the stand and tree-level factors associated with the variation in Ed and, with the most suitable variables (ii) develop a descriptive model to Ed for ponderosa pine grown in NW Patagonia Argentina as the first step of a predictive model. Tree and stand variables showed a wide range of variation and Ed ranged ten-fold, from 2.13 GPa to 22.1 GPa, with a mean value of 11.2 Gpa. The cross-correlations analysis performed among Ed and independent tree and stand variables showed almost all variables to be significantly related to Ed. The main positive and significant correlation was found for total tree height (H, r = 0.78, p < 0.001), top height of the stand (H100, r = 0.78, p < 0.001) and basal area of the stand (G, r = 0.68, p < 0.001). Nevertheless, the most suitable independent variables for modelling Ed were two stand variables: age at breast height (ABH) and site index (SI20) and two tree variables: stem slenderness (S, tree height/diameter at breast height) and social status or relative height (RH = H/H100). In combination, ABH, SI20, S and RH accounted for 68.4% of the variation in Ed within the sample population. This model could be readily applied by managers to estimate stand-level Ed, giving them greater understanding of how they can manipulate stands to achieve desired end product outcomes.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceForest Ecology and Management 459 : 117849 (Marzo 2020)es_AR
dc.subjectPinus Ponderosaes_AR
dc.subjectMaderaes_AR
dc.subjectWoodeng
dc.subjectElasticidades_AR
dc.subjectElasticityeng
dc.subjectPinuses_AR
dc.subject.otherPino Ponderosaes_AR
dc.subject.otherRegión Patagónicaes_AR
dc.titleWhere to find structural grade timber: a case study in ponderosa pine based on stand and tree level factorses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEstación Experimental Agropecuaria Barilochees_AR
dc.description.filFil: Caballe, Gonzalo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentinaes_AR
dc.description.filFil: Santaclara, Oscar. S.L. Parque Tecnológico de Galicia. Madera Plus Calidad Forestal; Españaes_AR
dc.description.filFil: Diez, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentinaes_AR
dc.description.filFil: Letourneau, Federico Jorge. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Campo Forestal Anexo San Martin; Argentinaes_AR
dc.description.filFil: Merlo, Esther. S.L. Parque Tecnológico de Galicia. Madera Plus Calidad Forestal; Españaes_AR
dc.description.filFil: Martinez Meier, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Forestales. Grupo de Ecología Forestal; Argentinaes_AR
dc.subtypecientifico


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