A multilevel individual tree basal area increment model for aspen in boreal mixedwood stands

By Yuqing Yang, S. Huang, S. Meng, Guillermo Trincado, Curtis L. Vanderschaaf. 2009

67 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/10f9cade35caabbc440e37e1f484bc253ac2db77

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Ram P. Sharma
2. Aaron Weiskittel
3. John A. Kershaw
4. Jerome K. Vanclay
5. J. Dech
6. Xiangdong Lei
7. Hao Zang
8. D. Hann

In Mechanical Engineering

1. Ram P. Sharma
2. Jerome K. Vanclay
3. Aaron Weiskittel
4. John A. Kershaw
5. Xiangdong Lei
6. Hao Zang
7. D. Hann
8. Weisheng Zeng

In Nature and Landscape Conservation

1. John A. Kershaw
2. Jerome K. Vanclay
3. Ram P. Sharma
4. Aaron Weiskittel
5. D. Hann
6. J. Dech
7. Liyong Fu
8. Xiangdong Lei

Citations in the corpus

• 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): “D models (Equations 1 and 2) were tested to incorporate Province-, species- and plot-level random effects and only the models that provided the largest log-likelihood (LL) and the smallest Akaike’s information criterion (AIC) were considered in the final model (Yang et al., 2009).”
• Forest Growth and Yield Modeling (2011, methodology): “The use of this technique for locally calibrating stem taper and tree HT to DBH equations is discussed in Yang et al. (2009b) and Temesgen et al. (2008), respectively.”
• Nonlinear mixed-effects crown width models for individual trees of Chinese fir (Cunninghamia lanceolata) in south-central China (2013, methodology): “Thus, in addition to predictor variables such as DBH, H, DH and HCB, crown width of a small subsample of trees must be measured, and random-effe cts parameters should be estimated using EBLUP theory (Vonesh and Chinchilli, 1997; Nothdurft et al., 2006; Yang et al., 2009; Yang and Huang, 2011).”
• Mixed-effects basal area increment models for tree species in the boreal forest of Ontario, Canada using an ecological land classification approach to incorporate site effects (2012, methodology): “Yang et al. (2009) reported a change in the magnitude of site index effect on their individual-tree BAI model for aspen in boreal mixedwood stands in Alberta after fitting a mixed-effects model; however, in their study, Downloaded from…”