Height–Diameter Models Using Stand Characteristics for Pinus banksiana and Picea mariana

By Mahadev Sharma, Shu Yin Zhang. 2004

123 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/d3df33c10b2356f9e94927f69a4203ef1eb4fe2d

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In Environmental Engineering

In Mechanical Engineering

In Nature and Landscape Conservation

Citations in the corpus

Forest Growth and Yield Modeling (2011, background): “, 2009), number of trees (Sharma and Zhang, 2004; Saunders and Wagner, 2008), and relative stand density index (Newton and Amponsah, 2007).”
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.”
Tree height prediction approaches for uneven-aged beech forests in northwestern Spain (2013, background): “This confirms that a single h–d local model is not adequate for all possible situations found within and between stands, since the h–d relationship usually varies with site quality, stand density, relative position of trees within the stand and also over time (Curtis, 1967; Sharma and Zhang, 2004; T”
Height-diameter models with random coefficients and site variables for tree species of Central Maine (2008, methodology): “edu when those models do not include variables that account for the dynamics of these stand relationships [6, 42].”
Regional mixed-effects height–diameter models for loblolly pine (Pinus taeda L.) plantations (2007, background): “Several generalized and region-wide equations have been developed recently for many tree species (Schöeder and Álvarez González 2001; López Sánchez et al. 2003; Sharma and Zhang 2004; Temesgen and Gadow 2004; Castedo Dorado et al. 2005).”
Analysis and comparison of nonlinear tree height prediction strategies for Douglas-fir forests (2008, background): “However, Sharma and Zhang (2004) found that site index did not improve the precision of height estimates.”
Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach (2007, methodology): “The height–DBH relationship of a tree species, however, varies among different environments and stand conditions, e.g., stand density, basal area, and site index (Lopez Sanchez et al., 2003; Calama and Montero, 2004; Sharma and Zhang, 2004).”
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): “In previous studies, the relationship between H and D was found to vary at stand level due to differences in age, site condition, stand density and competition status (e.g. Sharma and Zhang, 2004; Temesgen et al., 2007; Weiskittel et al., 2011).”