Generalized height-diameter and crown diameter prediction models for cork oak forests in Spain
By M. Sánchez-González, Isabel Cañellas, G. Montero. 2007
78 citations recorded by the source corpus.
A generalized height-diameter equation, along with a crown diameter prediction equation for cork oak forests in Spain were developed based on data from the Second Spanish Forest Inventory. Nine generalised height-diameter equations were selected as candidate functions to model the height-diameter under cork relationship, while for the crown diameter prediction model five linear and non-linear equations were tested. The equations were fitted using the mixedeffects model approach. The Stoffels & Van Soest power equation, constrained to pass through the point of dominant diameter and dominant height, was selected as the generalised height-diameter model. Regarding the crown diameter prediction model, the parable function without the intercept and with quadratic mean diameter incorporated as a fixed effect into the b parameter, proved to be the model with best prediction capabilities. The models were validated by characterising the model error using the PRESS (Prediction Sum of Squares) statistic. Both equations will be submodels of the ALCORNOQUE v1.0, a management oriented growth and yield model for cork oak forests in Spain.
Subfields: Mechanical Engineering, Nature and Landscape Conservation, Plant Science
View Paper: https://www.semanticscholar.org/paper/a142811fc77e547a0dde11e5f325275c777fba61
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In Mechanical Engineering
In Nature and Landscape Conservation
In Plant Science
Citations in the corpus
- Nonlinear fixed and random generalized height–diameter models for Portuguese cork oak stands (2011, methodology): “(2007) height–diameter model only included trees in which cork thickness had been measured (three or four trees randomly selected in each plot), stand variables such as dominant or maximum diameter under cork for each plot were computed using the diameter at breast height under cork, estimated by su”
- Nonlinear mixed-effects crown width models for individual trees of Chinese fir (Cunninghamia lanceolata) in south-central China (2013, unknown): “, 2009 ) or crown width (Bragg, 2001; Zarnoch et al., 2004; Sánchez-González et al., 2007).”
- Height–diameter equations for larch plantations in northern and northeastern China: a comparison of the mixed-effects, quantile regression and generalized additive models (2016, methodology): “A strong correlation is exhibited between H and D, and the subsample of trees for which both H and D have been measured can be used to construct an H–D model to predict missing total height measurements for the rest of the trees in the same plot (Huang et al., 1992; Staudhammer and LeMay, 2000; Robi”