Modeling stem taper of three central Oregon species using nonlinear mixed effects models and autoregressive error structures

By S. Garber, Douglas A. Maguire. 2003

156 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/a767a49a53626027564359dc43beae8ca4df1128

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In Environmental Engineering

In Mechanical Engineering

In Nature and Landscape Conservation

Citations in the corpus

Nonlinear mixed-effects modeling of variable-exponent taper equations for lodgepole pine in Alberta, Canada (2009, background): “Garber and Maguire (2003) fitted variable-exponent taper equations for three central Oregon species applying mixed-effects modeling techniques and modeled within-subject residual autocorrelation.”
Stem taper functions for maritime pine (Pinus pinaster Ait.) in Galicia (Northwestern Spain) (2005, background): “However, autocorrelation can have several adverse consequences in terms of the statistical inference when the aim is to identify statistically significant predictor variables ( Garber and Maguire 2003 ).”
Annualized diameter and height growth equations for Pacific Northwest plantation-grown Douglas-fir, western hemlock, and red alder. (2007, background): “The combination of random effects and a continuous autoregressive process was also necessary in reducing the impact of autocorrelation in fitting taper equations in small plantation trees (Garber and Maguire, 2003).”
Modeling Forest Trees and Stands (2012, methodology): “…of the within-individual correlation (Valentine and Gregoire 2001) while others found that the model was improved by incorporating, even when using mixed-modeling techniques, an autoregressive continuous autocorrelation structure into the model (Garber and Maguire 2003; Trincado and Burkhart 2006).”
Forest Growth and Yield Modeling (2011, methodology): “…been used for modeling stand basal area (Gregoire et al., 1995) and dominant height growth (Fang and Bailey, 2001; Wang et al., 2007b), stem taper (Garber and Maguire, 2003; Leites and Robinson, 2004), individual tree increment (Calegario et al., 2005; Weiskittel et al., 2007a), cumulative bole…”
Regional stem taper equations for eleven conifer species in the Acadian Region of North America: development and assessment. (2012, unknown): “In recent years, nlme modeling techniques have been applied to many areas in forest growth and yield modeling because of their ability to account for between- and within-subject variations (Gregoire and Schabenberger 1996, Tasissa and Burkhart 1998, Fang and Bailey 2001, Garber and Maguire 2003).”
Compatible taper function for Scots pine plantations in northwestern Spain (2006, background): “Moreover, both approaches could be used together (Garber and Maguire 2003).”
Calibrating fixed- and mixed-effects taper equations (2011, methodology): “…mixedeffects models have been applied to predict tree taper because they take into account the correlation among multiple diameter measurements on an individual stem (Garber and Maguire, 2003; Leites and Robinson, 2004; Trincado and Burkhart, 2006; Lejeune et al., 2009; Yang et al., 2009).”
Estimating and predicting bark thickness for seven conifer species in the Acadian Region of North America using a mixed-effects modeling approach: comparison of model forms and subsampling strategies (2011, background): “2005), individual tree taper profiles (Garber and Maguire 2003; Leites and Robinson 2004; Li and Weiskittel 2010), and various other attributes (Gregoire et al.”