Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/42816
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dc.creatorSchmidt, Luciane Naimeke-
dc.creatorSanquetta, Mateus Niroh Inoue-
dc.creatorMcTague, John Paul McTague-
dc.creatorSilva, Gilson Fernandes da-
dc.creatorFraga Filho, Clayton Vieira-
dc.creatorSanquetta, Carlos Roberto-
dc.creatorScolforo, José Roberto Soares-
dc.date.accessioned2020-09-02T17:29:42Z-
dc.date.available2020-09-02T17:29:42Z-
dc.date.issued2020-04-
dc.identifier.citationSCHMIDT, L. N. et al. On the use of the Weibull distribution in modeling and describing diameter distributions of clonal eucalypt stands. Canadian Journal of Forest Research, Ottawa, p. 1-14, Apr. 2020. DOI: https://doi.org/10.1139/cjfr-2020-0051.pt_BR
dc.identifier.urihttps://doi.org/10.1139/cjfr-2020-0051pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/42816-
dc.description.abstractWeibull distributions have been widely used to describe tree stem diameter distributions. However, there is a scarcity of studies that suggest the best Weibull formulation. The parameters of the Weibull distribution are usually predicted by either the parameter prediction method (PPM) or the parameter recovery method (PRM), although other methods have been proposed. Thus, this study aimed to evaluate the performance of eight Weibull formulations and compare methods of parameter prediction to describe diameter distributions of clonal eucalypt stands in Brazil. Data originated from remeasurements of 56 plots at ages 3, 5, and 6 years. Weibull distributions were fitted using the maximum likelihood method and evaluated in a goodness-of-fit indicators ranking. The right-truncated two-parameter formulation showed the best results and was used to evaluate the methods of parameter prediction. Stand attributes showed a strong relationship with shape and scale parameters. Regression models were developed and resulted in accurate estimates using PPM. PRM used a growth and yield system to estimate the stand attributes, followed by the moment-based method. The modified cumulative distribution function regression (CDFR) approach was also evaluated, and it presented the poorest results. Although the PPM showed excellent results, PRM is recommended in older stands with inventory because it implicitly promotes compatibility among stand attributes.pt_BR
dc.languageenpt_BR
dc.publisherCanadian Science Publishingpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceCanadian Journal of Forest Researchpt_BR
dc.subjectTruncated distributionspt_BR
dc.subjectFast-growingpt_BR
dc.subjectShort rotationpt_BR
dc.subjectGrowth and yield systempt_BR
dc.subjectParameter prediction methodspt_BR
dc.subjectEucalipto - Predição de crescimentopt_BR
dc.subjectEucalipto - Povoamentos clonaispt_BR
dc.subjectDistribuições Truncadaspt_BR
dc.subjectSistema de crescimento e produçãopt_BR
dc.subjectMétodo de predição de parâmetrospt_BR
dc.titleOn the use of the Weibull distribution in modeling and describing diameter distributions of clonal eucalypt standspt_BR
dc.typeArtigopt_BR
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