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      HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL

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          Abstract

          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 and severity of thinning operations, 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.

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          Nonlinear mixed effects models for repeated measures data.

          We propose a general, nonlinear mixed effects model for repeated measures data and define estimators for its parameters. The proposed estimators are a natural combination of least squares estimators for nonlinear fixed effects models and maximum likelihood (or restricted maximum likelihood) estimators for linear mixed effects models. We implement Newton-Raphson estimation using previously developed computational methods for nonlinear fixed effects models and for linear mixed effects models. Two examples are presented and the connections between this work and recent work on generalized linear mixed effects models are discussed.
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            A ratio estimator for bias correction in logarithmic regressions

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              A generalized nonlinear mixed-effects height–diameter model for Eucalyptus globulus L. in northwestern Spain

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                cerne
                CERNE
                CERNE
                UFLA - Universidade Federal de Lavras (Lavras, MG, Brazil )
                0104-7760
                2317-6342
                March 2018
                : 24
                : 1
                : 9-17
                Affiliations
                [4] Lavras Minas Gerais orgnameUniversidade Federal de Lavras Brazil
                [1] Bom Jesus Piauí orgnameUniversidade Federal do Piauí Brazil
                [3] Uppsala orgnameSwedish University of Agricultural Sciences Sweden
                [6] Raleigh North Carolina orgnameNorth Carolina State University United States
                [2] Joensuu orgnameUniversity of Eastern Finland Finland
                [5] Aracruz Espírito Santo orgnameFibria Celulose S.A Brazil
                Article
                S0104-77602018000100009
                10.1590/01047760201824012466
                939d63ee-b76a-4887-8442-dbd49a906aae

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 15 November 2017
                : 23 February 2018
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 57, Pages: 9
                Product

                SciELO Brazil


                Tree height prediction,Forest inventory,Mixed effect models

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