Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach

By Mahadev Sharma, J. Parton. 2007

258 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/6e27009d8496ced52221525cba2130930c26d1d7

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In Environmental Engineering

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

A generalized nonlinear mixed-effects height-diameter model for Eucalyptus globulus L. in northwestern Spain. (2010, methodology): “In a first step, 25 generalized h–d models selected from previous studies (Krumland and Wensel, 1988; Tomé, 1989; López Sánchez et al., 2003; Sharma and Zhang, 2004; Castedo Dorado et al., 2006; Sharma and Parton, 2007) were fitted to the dataset.”
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”
Forest Growth and Yield Modeling (2011, background): “Stand-level variables are more varied and include: basal area (Huang and Titus, 1994; Temesgen et al., 2007), quadratic mean diameter (Sharma and Parton, 2007; Vargas-Larreta et al., 2009), number of trees (Sharma and Zhang, 2004; Saunders and Wagner, 2008), and relative stand density index (Newton…”
A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach (2013, methodology): “The heights of the unmeasured trees can then be estimated through species-specific dbh–height regression models developed from the measured subsample (e.g., Richards 1959; Sharma and Parton 2007).”
Nonlinear fixed and random generalized height–diameter models for Portuguese cork oak stands (2011, methodology): “A generalized height–diameter model, with a wider range of geographical applicability, can be built by taking into account stand variables (e.g., Sharma and Parton, 2007; Temesgen and von Gadow, 2004), using models with random coefficients for each sampling unit (e.g., Lappi, 1997) or including fi”
Using quadratic mean diameter and relative spacing index to enhance height-diameter and crown ratio models fitted to longitudinal data (2016, methodology): “Many investigators have used graphical methods to investigate the assumption of constant error variance for the d.b.h.–height relationship model (Fang and Bailey, 1998; Peng et al., 2001; Sharma and Parton, 2007; Budhathoki et al., 2008).”
A generalized height–diameter model with random coefficients for uneven-aged stands in El Salto, Durango (Mexico) (2009, methodology): “The model that performed best (lowest values of AICd and RMSE and highest values of 2adjR ) was, for most species, model M5 proposed by Sharma and Parton (2007) .”
A Nonlinear Mixed-Effects Height-to-Diameter Ratio Model for Several Tree Species Based on Czech National Forest Inventory Data (2019, methodology): “, one tree can be most efficient for application of the mixed-effects model [96].”
Mixed-effects basal area increment models for tree species in the boreal forest of Ontario, Canada using an ecological land classification approach to incorporate site effects (2012, background): “…no error and is highly correlated with other tree characteristics such as product recovery (e.g. saw log or pulpwood), height (Wykoff et al., 1982; Sharma and Parton, 2007; VargasLarreta et al., 2009), volume (Hahn, 1984), biomass (Jenkins et al., 2004; Lambert et al., 2005) and carbon storage…”
Height–diameter equations for larch plantations in northern and northeastern China: a comparison of the mixed-effects, quantile regression and generalized additive models (2016, background): “, 2014), the median diameter of basal area weighted diameter distribution (Mehtätalo, 2004), dominant height (Sharma and Parton, 2007; Temesgen et al., 2014), crown competition factor (Temesgen et al.”