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resumen

Resumen
Tree growth is one of the main variables needed for forest management planning. The use of simple models containing traditional equations to describe tree growth is common. However, equations that incorporate different factors (e.g. site quality of the stands, crown classes of the trees, silvicultural treatments) may improve their accuracy in a wide range of stand conditions. The aim of this work was to compare the accuracy of tree diameter growth models [ver mas...]
dc.contributor.authorIvancich, Horacio Simón
dc.contributor.authorMartínez Pastur, Guillermo José
dc.contributor.authorLencinas, María Vanessa
dc.contributor.authorCellini, Juan Manuel
dc.contributor.authorPeri, Pablo Luis
dc.date.accessioned2018-11-26T13:48:49Z
dc.date.available2018-11-26T13:48:49Z
dc.date.issued2014
dc.identifier.issn1212-4834
dc.identifier.issn1805-935X
dc.identifier.otherhttps://doi.org/10.17221/22/2014-JFS
dc.identifier.urihttps://www.agriculturejournals.cz/publicFiles/22_2014-JFS.pdf
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3965
dc.description.abstractTree growth is one of the main variables needed for forest management planning. The use of simple models containing traditional equations to describe tree growth is common. However, equations that incorporate different factors (e.g. site quality of the stands, crown classes of the trees, silvicultural treatments) may improve their accuracy in a wide range of stand conditions. The aim of this work was to compare the accuracy of tree diameter growth models using (i) a family of simple equations adjusted by stand site quality and crown class of trees, and (ii) a unique global equation including stand and individual tree variables. Samplings were conducted in 136 natural even-aged Nothofagus antarctica (Forster f.) Oersted stands in Southern Patagonia (Argentina) covering age (20–200 years), crown class and site quality gradients. The following diameter growth models were fitted: 16 simple equations using two independent variables (age and one equation for each stand site quality or crown class) based on Richards model, plus a unique global equation using three independent variables (age, stand site quality and crown class). Simple equations showed higher variability in their accuracy, explained between 54% and 92% of the data variation. The global model presented similar accuracy like the better equations of the simple growth models. The unification of the simple growth models into a unique global equation did not greatly improve the accuracy of estimations, but positively influenced the biological response of the model. Another advantage of the global equation is the simple use under a wide range of natural stand conditions. The proposed global model allows to explain the tree growth of N. antarctica trees along the natural studied gradients.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherCzech Academy of Agricultural Scienceses_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceJournal of Forest Science 60 (8) : 307–317 (2014)es_AR
dc.subjectBosqueses_AR
dc.subjectForestseng
dc.subjectNothofaguses_AR
dc.subjectDiámetroes_AR
dc.subjectDiametereng
dc.subjectModelos de Crecimiento Forestales_AR
dc.subjectGrowth Modelseng
dc.subjectClases de Copaes_AR
dc.subjectCrown Classeseng
dc.subjectCaracterísticas del Sitioes_AR
dc.subjectSite Factorseng
dc.subject.otherNothofagus antarcticaes_AR
dc.titleProposals for Nothofagus antarctica diameter growth estimation: simple vs. global modelses_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)
dc.description.origenEEA Santa Cruzes_AR
dc.description.filFil: Ivancich, Horacio Simón. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentinaes_AR
dc.description.filFil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Cientificas; Argentinaes_AR
dc.description.filFil: Lencinas, María Vanessa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentinaes_AR
dc.description.filFil: Cellini, Juan Manuel. Universidad Nacional de la Plata. Facultad de Ciencias Naturales y Museo. Laboratorio de Investigacion en Sistemas Ecologicos y Ambientales; Argentinaes_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.subtypecientifico


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