Generalized height–diameter models—an application for major tree species in complex stands of interior British Columbia

By Hailemariam Temesgen, Klaus von Gadow. European Journal of Forest Research, 2004

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Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey (2018, methodology): “Stand variables that have been added to the base model include stand-density measures (Temesgen and Gadow, 2004), stand density, dominant height, and diameter distribution percentiles (Calama and Montero, 2004; Dorado et al.”
Characterization of the structure, dynamics, and productivity of mixed-species stands: review and perspectives (2015, background): “Tree height is a particularly important size variable which can be used to describe the vertical structure of the stand (Temesgen and Gadow 2004; McElhinny et al. 2005).”
Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach (2007, background): “These factors indicate that additional predictor variables are required to develop generalized height–diameter models in order to avoid having to establish individual height–diameter relationships for every stand (Temesgen and Gadow, 2004).”
A generalized height–diameter model with random coefficients for uneven-aged stands in El Salto, Durango (Mexico) (2009, methodology): “Temesgen and von Gadow (2004) found this measurement of competition highly appropriate for improving the accuracy of height prediction for uneven-aged stands in British Columbia.”