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metadata.artigo.dc.title: Height-diameter models for Eucalyptus sp. plantations in Brazil
metadata.artigo.dc.creator: Ferraz Filho, Antônio Carlos
Mola-Yudego, Blas
Ribeiro, Andressa
Scolforo, José Roberto Soares
Loos, Rodolfo Araújo
Scolforo, Henrique Ferraço
metadata.artigo.dc.subject: Forest inventory
Mixed effect models
Tree height prediction
Inventário florestal
Modelos de efeito misto
Previsão da altura da árvore
metadata.artigo.dc.publisher: Universidade Federal de Lavras 2018
metadata.artigo.dc.identifier.citation: FERRAZ FILHO, A. C. et al. Height-diameter models for Eucalyptus sp. plantations in Brazil. Cerne, Lavras, v. 24, n. 1, p. 9-17, 2018.
metadata.artigo.dc.description.abstract: The use of height-diameter models have important applications in the management of eucalyptus plantations. The aim of this paper is to provide adequate height models based on the diameter and stand variables that could be easily used and applied to plantation’s management. The data was based on tests located in Espírito Santo and Bahia. A total of 312 plots, including 35 different treatments (different initial planting densities, number of thinning operations, thinnings, fertilization regimes, among others), and four different clones. This resulted in 2,407 conditions for 85,608 tree measurements. The constructed equations were based on mixed-effect models, in order to accommodate possible autocorrelations, to address variations between sites and to obtain locally calibrated estimates. Among the different model structures and combination of variables tested and presented, the best model showed a coefficient of determination of 0.953 and 0.988, for the fixed and fixed+random parts, respectively. The model included a random factor for measurements-within-tree and tree-within-plot. The bias of the fixed part was 0.208 cm (0.0659%). We believe the models in this study can have broad applications in management and inventory methods applied to plantations.
metadata.artigo.dc.language: en_US
Appears in Collections:DCF - Artigos publicados em periódicos

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