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dc.contributor.authorSantos, Mario Lima dos-
dc.contributor.authorMiguel, Eder Pereira-
dc.contributor.authorNappo, Mauro Eloi-
dc.contributor.authorSouza, Hallefy Junio de-
dc.contributor.authorSantos, Cassio Rafael Costa dos-
dc.contributor.authorSilva, José Natalino Macedo-
dc.contributor.authorMatricardi, Eraldo Aparecido Trondoli-
dc.date.accessioned2024-04-09T17:05:20Z-
dc.date.available2024-04-09T17:05:20Z-
dc.date.issued2023-08-10-
dc.identifier.citationSANTOS, Mario Lima dos et al. Approaches to forest site classification as an indicator of teak volume production. Forests, [S.l.], v. 14, n. 8, 10 ago. 2023. DOI: https://doi.org/10.3390/f14081613. Disponível em: https://www.mdpi.com/1999-4907/14/8/1613. Acesso em: 27 março 2024.pt_BR
dc.identifier.urihttp://repositorio2.unb.br/jspui/handle/10482/48062-
dc.language.isoengpt_BR
dc.publisherMDPIpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleApproaches to forest site classification as an indicator of teak volume productionpt_BR
dc.typeArtigopt_BR
dc.subject.keywordTeca - cultivopt_BR
dc.subject.keywordÁrvores - crescimentopt_BR
dc.subject.keywordÁrvores - Amazôniapt_BR
dc.subject.keywordLevantamentos florestaispt_BR
dc.rights.license© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).pt_BR
dc.identifier.doihttps://doi.org/10.3390/f14081613pt_BR
dc.description.abstract1We conducted a study on the dominant height growth of clonal teak (Tectona grandis Linn F.) plantations in the Brazilian Amazon to assess their potential and its agreement with volumetric production. We employed two approaches, ADA (algebraic difference) and GADA (generalized algebraic difference), and analyzed data from 58 permanent plots collected over a 10 year period. To classify the sites, we developed equations and evaluated their accuracy using various criteria, including correlation coefficient, mean square of residual, Akaike’s criterion, distribution of residuals, and validation through equivalence testing (TOST). We also assessed the biological realism of the constructed curves. We used cluster evaluation and dendrogram comparison to assess the agreement between site index and volumetric production for each approach. The Lundqvist–Korf baseline models (M1–ADA and M4–GADA) proved to be accurate and realistic in estimating dominant height in both approaches. Our findings indicate that the approaches utilizing dynamic equations and generating polymorphic curves effectively represent the sites and indicate the volumetric production of the plantations, with 98.3% of agreement rate. Based on our results, we recommend the use of ADA and GADA approaches for estimating the dominant height of clonal teak plantations in the Eastern Brazilian Amazon.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1679-9796pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-6259-4594pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9356-0186pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-5323-6100pt_BR
dc.contributor.affiliationUniversity of Brasilia, Campus Universitário Darcy Ribeiro, Department of Forest Sciencespt_BR
dc.contributor.affiliationUniversity of Brasilia, Campus Universitário Darcy Ribeiro, Department of Forest Sciencespt_BR
dc.contributor.affiliationUniversity of Brasilia, Campus Universitário Darcy Ribeiro, Department of Forest Sciencespt_BR
dc.contributor.affiliationUniversity of Brasilia, Campus Universitário Darcy Ribeiro, Department of Forest Sciencespt_BR
dc.contributor.affiliationFederal Rural University of Amazonia, Capitão Poço Campuspt_BR
dc.contributor.affiliationFederal Rural University of Amazonia, Belém Campus, Department of Forest Sciencespt_BR
dc.contributor.affiliationUniversity of Brasilia, Campus Universitário Darcy Ribeiro, Department of Forest Sciencespt_BR
dc.description.unidadeFaculdade de Tecnologia (FT)pt_BR
dc.description.unidadeDepartamento de Engenharia Florestal (FT EFL)pt_BR
dc.description.ppgPrograma de Pós-Graduação em Ciências Florestaispt_BR
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