Analysis and comparison of nonlinear tree height prediction strategies for Douglas-fir forests

By Hailemariam Temesgen, Vicente J. Monleon, D. Hann. 2008

132 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/f8a146b4c9b5da232c1417cbc79f11812a8590e4

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In Environmental Engineering

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Using quadratic mean diameter and relative spacing index to enhance height-diameter and crown ratio models fitted to longitudinal data (2016, background): “…plot or stand-level covariates to demonstrate the influence of stand density or effect of competition (Lynch et al., 1999; Sharma and Parton, 2007; Temesgen et al., 2007, 2008; Budhathoki et al., 2008; Arcangeli et al., 2014; Temesgen et al., 2014; Sharma and # Institute of Chartered Foresters,…”
A multilevel individual tree basal area increment model for aspen in boreal mixedwood stands (2009, background): “Nonlinear mixed models provide a powerful way of analyzing correlated hierarchical data (Vonesh and Chinchilli 1997) and have been increasingly applied in growth and yield modeling over the past decade (Gregoire and Schabenberger 1996; Trincado and Burkhart 2006; Temesgen et al. 2008).”
Modeling height-diameter curves for prediction (2015, methodology): “Some authors have criticized the fixed-effect prediction of a mixed-effects model for poor predictive performance when compared to a prediction from fixed-effect models using RMSE and empirical bias as the criteria (e.g., Temesgen et al. 2008).”
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, methodology): “This technique has been demonstrated for calibrating regional, height–age (e.g., Wang et al. 2007), tree height (e.g., Temesgen et al. 2008), and stem taper equations (e.g., Yang et al. 2009a, b).”
Modelling tree height–diameter relationships in multi-species and multi-layered forests: A large observational study from Northeast China (2014, background): “Prediction of heights of trees for a new domain is detailed in Temesgen et al (2008).”
Nonlinear fixed and random generalized height–diameter models for Portuguese cork oak stands (2011, result): “For that situation, in accordance with the results obtained by other authors (e.g., Dorado et al., 2006; Temesgen et al., 2008), it was found that the populationspecific response of the nonlinear mixed effects model is more accurate then the predictions of the nonlinear fixed effects model, and…”
Forest Growth and Yield Modeling (2011, methodology): “The continuous model form of Baldwin and Peterson (1997) predicted crown profiles of loblolly pine based on relative crown height, DBH, crown ratio, and tree age.”