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Modeling stand biomass for Moso bamboo forests in Eastern China
Xiao Zhou1,2, Zixu Yin1,2, Yang Zhou1,2
1International Center for Bamboo and Rattan, Key Laboratory of National Forestry and Grassland Administration, Beijing, China.
Frontiers in Plant Science
|August 14, 2023
Summary
A new Moso bamboo stand biomass model accurately estimates forest carbon storage. This model, using mean diameter at breast height, mean height, and canopy density, improves forest management and carbon sequestration assessments.
Area of Science:
- Forestry science
- Ecology
- Biomass modeling
Background:
- Moso bamboo (Phyllostachys pubescens) forests are significant terrestrial carbon sinks.
- Accurate stand biomass models are crucial for assessing forest carbon contributions and informing management decisions.
Purpose of the Study:
- To develop and validate a stand biomass model for Moso bamboo.
- To improve the accuracy of biomass estimation by incorporating forest block effects.
Main Methods:
- Destructive sampling data from 45 plots in Yixing, China.
- Development of a mixed-effects stand biomass model using mean diameter at breast height (MDBH), mean height (MH), and canopy density (CD).
- Comparison with ordinary least squares regression models.
Main Results:
- The mixed-effects model explained 69.87% of stand biomass variation (R² = 0.6987), outperforming the OLS model (R² = 0.5748).
- Increased Moso bamboo stand biomass was significantly correlated with higher MH and CD.
- Model demonstrated biological logic and predictive capability.
Conclusions:
- The developed mixed-effects model provides a more accurate estimation of Moso bamboo stand biomass.
- This model can aid in estimating canopy biomass, carbon sequestration, and biomass across different growth stages.
- Findings support informed forest management practices for Moso bamboo ecosystems.
