A comparison of alternative methods for estimating the self-thinning boundary line

By Lianjun Zhang, Huiquan Bi, J. Gove, L. Heath. 2005

148 citations recorded by the source corpus.

Subfields: Environmental Engineering, Nature and Landscape Conservation, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/95b50482a135ef1e6b53e0b19fb9597e38110ff5

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In Environmental Engineering

In Nature and Landscape Conservation

In Statistics and Probability

Citations in the corpus

Forest Growth and Yield Modeling (2011, methodology): “is used to estimate factors such as maximum size–density lines (Zhang et al., 2005), potential diameter increments (Pretzsch and Biber, 2010), and individual-tree maximum crown widths (Russell and Weiskittel, 2011).”
Characterization of the structure, dynamics, and productivity of mixed-species stands: review and perspectives (2015, methodology): “Estimating maximum densities using alternative statistical techniques, such as quantile regression or stochastic frontier analysis, may mitigate this challenge (Zhang et al. 2005, Vospernik and Sterba 2014), but applications to mixed-species stands have been rare (Ducey and Knapp 2010).”
Height–diameter equations for larch plantations in northern and northeastern China: a comparison of the mixed-effects, quantile regression and generalized additive models (2016, methodology): “Recently QR has been applied in forest growth models, for example, self-thinning boundary lines (Zhang et al., 2005), tree diameter percentiles (Mehtätalo et al., 2008; Bohora and Cao, 2014), stand density index (Ducey and Knapp, 2010) and height–diameter model (Rust, 2014).”
Predicting tree height from tree diameter and dominant height using mixed-effects and quantile regression models for two species in Turkey (2018, background): “, 2008), self-thinning boundary lines (Zhang et al., 2005; Ducey and Knapp, 2010), spreading rates of insects (Evans and Gregoire, 2007) and diseases (Evans and Finkral, 2010), diameter percentiles (Mehtätalo et al.”
Prediction of tree diameter growth using quantile regression and mixed-effects models (2014, methodology): “In forestry, quantile regression has been applied to model self-thinning boundary lines (Zhang et al., 2005) and tree diameter percentiles (Mehtätalo et al., 2008), compute stand density index (Ducey and Knapp, 2010), or evaluate the spread rate of forest diseases (Evans and Finkral, 2010).”
Do competition-density rule and self-thinning rule agree? (2014, methodology): “Both techniques have previously been successfully applied to fitting the self-thinning line (Bi 2001; Zhang et al. 2005, 2013; Weiskittel et al. 2009; Charru et al. 2012).”