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

By F. crecente-campo, Margarida Tomé, Paula Soares, Ulises Diéguez-Aranda. 2010

160 citations recorded by the source corpus.

Abstract A generalized height–diameter model was developed for Eucalyptus globulus Labill. stands in Galicia (northwestern Spain). The study involved a variety of pure stands ranging from even-aged to uneven-aged. Data were obtained from permanent circular sample plots in which trees were sampled within different radii according to their diameter at breast height. A combination of weighted regression, to take into account the unequal selection probabilities of such an inventory design, and mixed model techniques, to accommodate local random fluctuations in the height–diameter relationship, were applied to estimate fixed and random parameters for several models reported in the relevant literature. The models that provided the best results included dominant height and dominant diameter as fixed effects. These models explained more than 83% of the observed variability, with mean errors of less than 2.5 m. Random parameters for particular plots were estimated with different tree selection options. Height–diameter relationships tailored to individual plots can be obtained by calibration of the height measurements of the three smallest trees in a plot. An independent dataset was used to test the performance of the model with data not used in the fitting process, and to demonstrate the advantages of calibrating the mixed-effects model.

Subfields: Environmental Engineering, Mechanical Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/1f3a083ff4f397a81d224cb3784031ea7548da93

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In Environmental Engineering

In Mechanical Engineering

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Citations in the corpus

Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey (2018, methodology): “Many studies have used mixed-models to describe h-d relationship (e.g., Lappi, 1997; Calama and Montero, 2004; Trincado et al., 2007; Sharma and Parton, 2007; Huang et al., 2009; Crecente-Campo et al., 2010; Özçelik et al., 2013; VanderSchaaf, 2014; Gómez-García et al., 2015; Saud et al., 2016; Zang”
Tree height prediction approaches for uneven-aged beech forests in northwestern Spain (2013, methodology): “where dbhij is the diameter at breast height of the ith tree from the jth sub-plot, Fij is the expansion factor between a hectare and the area of the jth sub-plot in which the ith tree is included (Crecente-Campo et al., 2010), and dbhmean is the mean diameter for each plot, calculated as follows:”
A Nonlinear Mixed-Effects Height-to-Diameter Ratio Model for Several Tree Species Based on Czech National Forest Inventory Data (2019, methodology): “The HDOM has been frequently used to describe the combined effect of site quality and stand development stage in modelling various tree characteristics [43,51,52,54,55,58,70,71,75].”