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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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[Crown width model for planted Korean pine in eastern Liaoning mountains based on mixed effect linear quantile].

Yi-Wen Tong1, Dong-Sheng Chen2, Jian Feng3

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Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|September 22, 2022
PubMed
Summary

This study developed advanced quantile regression models for Korean pine crown width, improving forest management. The models better predict individual tree growth, aiding sustainable Korean pine plantation development.

Keywords:
Korean pinecrown width modelmixed effectquantile regressionreparameterization

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Area of Science:

  • Forestry
  • Ecology
  • Quantitative Ecology

Background:

  • Crown width is crucial for assessing tree growth and developing forest yield models.
  • Accurate crown width prediction is essential for effective forest management and sustainable development.

Purpose of the Study:

  • To develop and validate advanced quantile regression models for Korean pine crown width.
  • To analyze the influence of stand density, forest layer, and competition on crown width.
  • To provide a basis for sustainable Korean pine plantation management.

Main Methods:

  • Developed quantile regression models for Korean pine crown width using data from 2763 trees.
  • Incorporated single tree competition index (Rd), stand density, and forest layer variables.
  • Utilized a linear mixed-effects quantile regression approach for improved model fitting and plot-level analysis.

Main Results:

  • The enhanced models significantly improved R-squared (0.0104 increase) and reduced RMSE (0.0115 decrease) compared to basic models.
  • Quantile regression models outperformed ordinary least squares in simulating maximum crown width.
  • Stand density negatively impacted crown width, while relative diameter positively influenced it; effects varied by forest layer.

Conclusions:

  • The developed linear mixed-effects quantile regression model offers superior fitting stability and accuracy for Korean pine crown width.
  • Optimal quantiles for maximum crown width prediction were identified (0.96 for upper, 0.93 for lower forest layers).
  • Findings support sustainable Korean pine plantation management through adjusted stand density and thinning practices.