HEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES

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dc.creatorMayara Aparecida Maciel Guimarães
dc.creatorNatalino Calegário
dc.creatorLuiz Marcelo Tavares de Carvalho
dc.creatorPaulo Fernando Trugilho
dc.date2009
dc.date.accessioned2026-07-07T02:39:45Z
dc.descriptionThe main difficulty in selecting height-diameter relationships is the large number of variables involved. Techniques for decomposition of model parameters with inclusion of covariates relating to individual trees and to the stand collectively can improve model precision. This study aimed to evaluate quality improvement in the fit of height-diameter models by inclusion of covariates. The data in this study was obtained from commercial Eucalyptus sp. plantations in southern Bahia state. Firstly two reduced models were fitted, one linear and another nonlinear, considering the same trend of height variation as a function of diameter, for all genetic materials being studied. Between the two, the logistic model presented the best performance for the relevant database. After fitting parameters for the selected model, the complete formulation was fit with inclusion of variables relating to individual trees, which improved model precision. A reduction of 17% was observed in the residual standard error value when comparing reduced model and complete model, with inclusion of covariates.
dc.formatapplication/pdf
dc.identifier0104-7760
dc.identifierhttps://www.redalyc.org/articulo.oa?id=74413021008
dc.identifier.urihttp://hdl.handle.net/123456789/420784
dc.languageen
dc.publisherUniversidade Federal de Lavras
dc.relationhttp://www.redalyc.org/revista.oa?id=744
dc.rightsCERNE
dc.sourceCERNE (Brasil) Num.3 Vol.15
dc.subjectAgrociencias
dc.titleHEIGHT-DIAMETER MODELS IN FORESTRY WITH INCLUSION OF COVARIATES
dc.typeartículo científico

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