2019
DOI: 10.1139/cjfr-2018-0276
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Generalized stem taper and tree volume equations applied to eucalyptus of varying genetics in Brazil

Abstract: Lack of generalized equations has prevailed in Brazil, because it is assumed that localized or climate-specific equations are needed. This study aimed to develop generalized stem taper and volume equations applicable to 11 eucalyptus clones and evaluate if climate variation impacts the accuracy of the estimates. A total of 693 trees evenly distributed across 11 clones at 21 sites were used for model fittings and predictive validation. The penalized mixed spline (PMS) approach was developed for predicting stem … Show more

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Cited by 12 publications
(2 citation statements)
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“…Therefore, in this study, different random parameters were combined separately. The optimal combination of fixed and random parameters was determined by comparing the minimum values of the statistics: Akaike's information criterion (AIC), Bayesian information criterion (BIC) and twice the negative log-likelihood (−2LL; Scolforo et al, 2019;Liu et al, 2020;Zhang et al, 2021), their expressions are provided at later section (equations 12~15).…”
Section: Nonlinear Mixed Effect Modelmentioning
confidence: 99%
“…Therefore, in this study, different random parameters were combined separately. The optimal combination of fixed and random parameters was determined by comparing the minimum values of the statistics: Akaike's information criterion (AIC), Bayesian information criterion (BIC) and twice the negative log-likelihood (−2LL; Scolforo et al, 2019;Liu et al, 2020;Zhang et al, 2021), their expressions are provided at later section (equations 12~15).…”
Section: Nonlinear Mixed Effect Modelmentioning
confidence: 99%
“…Os modelos de taper são funções que projetam a forma idealizada do tronco a partir de seus parâmetros. Portanto, é coerente supor que para obter modelos mais flexíveis às particularidades florestais, naturalmente formulações mais complexas são desenvolvidas, muitas vezes para obter melhor capacidade preditiva de volume Pang et al, 2016;Scolforo et al, 2019;. Consequentemente, os modelos adquirem de seis parâmetros, a exemplo do modelo segmentado de Max e Burkhart (1976) a nove parâmetros como o de expoente-variável originalmente proposto de .…”
Section: Discussionunclassified