TY - JOUR
T1 - Height-diameter models for Eucalyptus sp plantations in Brazil
AU - Ferraz Filho, Antonio Carlos
AU - Mola-Yudego, Blas
AU - Ribeiro, Andressa
AU - Scolforo, José Roberto Soares
AU - Loos, Rodolfo Araújo
AU - Scolforo, Henrique Ferraço
PY - 2018
Y1 - 2018
N2 - 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 Espirito 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.
AB - 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 Espirito 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.
KW - Forest inventory
KW - Mixed effect models
KW - Tree height prediction
KW - Forest inventory
KW - Mixed effect models
KW - Tree height prediction
UR - https://res.slu.se/id/publ/96056
U2 - 10.1590/01047760201824012466
DO - 10.1590/01047760201824012466
M3 - Journal article
SN - 0104-7760
VL - 24
SP - 9
EP - 17
JO - Cerne
JF - Cerne
IS - 1
ER -