MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS

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Adriano Ribeiro de Mendonça Natalino Calegario Gilson Fernandes da Silva Agostinho Lopes de Souza Paulo Fernando Trugilho Samuel Pádua Chaves e Carvalho Ernani Lopes Possato

Abstract

The aim of this study was to evaluate models to estimate the assortment yield of clonal Eucalyptus camaldulensis x Eucalyptus urophylla hybrid plantations with 3 x 3 m spacing in the Paraopeba city, Minas Gerais, Brazil. To estimate basal area and volume of the assortment yield data from permanent plots was used. To estimate the volume of assortments, we analyzed the logistic model with covariates and the Clutter model. The statistical standard error [Syx (%)], bias (V), average of the differences (MD), and standard deviation of the differences (DPD), as well as the graphical analysis of the residuals were used to select the most accurate model. According to the analysis, the Logistic model obtained the best results for estimation of the yield in wood volume for energy and pulpwood. The methodology to estimate assortment of forest plantations was considered easy to use and accurate.

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How to Cite
MENDONÇA, Adriano Ribeiro de et al. MODELING OF ASSORTMENT YIELDS IN EUCALYPTUS STANDS. CERNE, [S.l.], v. 20, n. 4, p. 587-594, apr. 2016. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/1025>. Date accessed: 17 sep. 2019.
Keywords
Probability models, covariates, multi-products.
Section
Article