Developing and Validating Nonlinear Height-Diameter Models for Major Tree Species of Ontario's Boreal Forests

By C. Peng, Lianjun Zhang, Jinxun Liu. 2001

154 citations recorded by the source corpus.

Subfields: Building and Construction, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/337311e9bf56c60825e3bdae6c14a389d7cd3b0f

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Citations in the corpus

A generalized height–diameter model with random coefficients for uneven-aged stands in El Salto, Durango (Mexico) (2009, background): “…also important in other contexts, including the estimation of total or merchantable volume and biomass of individual trees ( Huang et al. , 1992 ; Peng et al. , 2001 ), simulation of the dynamics of forest stands ( Canham et al. , 1994 ) and the analysis of the theoretical basis of tree growth (…”
Towards a functional and simplified allometry for estimating forest biomass (2006, methodology): “As expected, the analyses of the height-diameter ratio generally presented a sigmoid pattern with different stages (Huang and Titus, 1992; Peng, 2001), however the possibility of distinguishing three stages strictly depends on the diameter distribution range of the samples.”
Evaluation of nonlinear equations for predicting diameter from tree height (2012, background): “They are also the recommended functional forms for height– diameter curves (Huang et al. 1992; Zhang 1997; Peng et al. 2001).”
Height–Diameter Models Using Stand Characteristics for Pinus banksiana and Picea mariana (2004, methodology): “The exact form of the Chapman / Richards growth equation recommended by Peng et al. (2001) for jack pine and black spruce trees was: H 1:3 a(1 e bD)g e (5) According to Peng et al. (2001), eq.”
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).”
Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey (2018, background): “Furthermore, h–dmodels are needed to better understand the nature of various relationships that characterize, differentiate, and influence the development of forest ecosystems (Peng, 2001b).”
Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach (2007, background): “…functions were often based on their mathematical features (e.g., demonstrating appropriate sigmoidal shape, possessing a sufficient number of parameters to achieve flexibility without compromising parsimony), and the possible biological interpretation of model parameters (Peng et al., 2001).”