Development of ecoregion-based height–diameter models for white spruce in boreal forests

By S. Huang, D. Price, S. Titus. 2000

227 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/80ed9631cc7edf0222ae3b0d0e0b16ee1b4a2c8f

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In Environmental Engineering

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Forest Growth and Yield Modeling (2011, methodology): “, 1997a; Temesgen and von Gadow, 2004); (3) weighted least squares nonlinear regression (Larsen and Hann, 1987; Huang et al., 1992; Hanus et al., 1999a; 1999b; Huang et al., 2000); (4)mixed effects linear regression (Lappi, 1991a, 1997; Robinson andWykoff, 2004); and (5) mixed effects nonlinear regr”
Development of a basal area growth system for maritime pine in northwestern Spain using the generalized algebraic difference approach (2006, methodology): “This test has frequently been applied to analyze differences among geographic regions (e.g., Pillsbury et al. 1995; Huang et al. 2000; Peng et al. 2001; Zhang et al. 2002; Calama et al. 2003; Álvarez González et al. 2005) and silvicultural treatments (e.”
Modeling height-diameter curves for prediction (2015, background): “Most of these articles have used a generalized model (e.g., Arabazis and Burkhart 1992; Houghton and Gregoire 1993; Lynch et al. 2005), but there are also published simple regional models (e.g., Moore et al. 1996; Huang et al. 2000).”
Compatible taper function for Scots pine plantations in northwestern Spain (2006, background): “The most reasonable value of the exponential term k should provide the most homogeneous studentized residual plot (Huang et al. 2000).”
Nonlinear fixed and random generalized height–diameter models for Portuguese cork oak stands (2011, methodology): “Functions without an asymptote (functions 1, 7 and 8 in Huang et al., 2000) or functions with more than three parameters were discarded due to frequent convergence problems.”
Modelling tree height–diameter relationships in multi-species and multi-layered forests: A large observational study from Northeast China (2014, methodology): “D relationships vary by eco-region (e.g., Huang et al., 2000), used local site and competition measures to mimic the height–diameter allometry.”
Height-diameter models with random coefficients and site variables for tree species of Central Maine (2008, background): “Height-diameter models are often specific to localities, site fertility classes, and/or structural stand types (e.g., even-aged plantations), or include numerous site and regional adjustments to the base parameters [11, 16 ].”
Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach (2007, background): “Keywords: Nonlinear least squares regression; Mixed-effects modeling; Boreal tree species; Height–diameter equations”