Investigating the Self‐Thinning Rule in Plantation Forests: Analyzing the Relationship Between the Basal Area and Height Growth in Southern China
The self-thinning rule in forest stands is fundamental to the development of density management strategies, as it determines the maximum stand density achievable for a given tree size. Accurate modeling of the maximum density line is crucial, but selecting representative data points for this purpose remains a challenge. Using 18 years of data from five <i>Cunninghamia lanceolata</i> plantations with varying initial planting densities, this study investigated whether relationships between mean tree basal area (<i>g</i>) and height (<i>H</i>) can reveal forest developmental stages and identify when stands begin self-thinning and reach maximum density. Our results showed a significant linear relationship (<i>p</i> < 0.05) between <i>g</i> and <i>H</i> after self-thinning was established, supporting the presence of self-regulatory growth mechanisms. These findings enabled the development of a novel sample selection method for constructing more accurate maximum density line models, outperforming traditional methods that rely on arbitrary thresholds. Additionally, we derived formulas to describe total stand basal area (<i>G</i> <sub>1.0</sub>) during different growth stages, revealing positive correlations with mean height during early growth and negative correlations with mean diameter during self-thinning. This research advances the understanding of self-thinning dynamics and provides practical tools for improving density management in plantation forestry.
Authors
- Shisheng Long (ORCID: https://orcid.org/0000-0003-2280-2920)
- Zeng Si-qi
- Xiao Hua-shun
- Xuefeng He
Institutions
- Central South University of Forestry and Technology (CN)
- Central South University (CN)
Publication Details
- Journal
- Ecology and Evolution
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/ece3.71034
- Citations
- 2
- Primary Topic
- Forest ecology and management
- Type
- article
- Field-Weighted Citation Impact
- 4.63