Construction and Comparison of Single-Tree Biomass Model for Dendrocalamus brandisii

Abstract

Dendrocalamus brandisii (Munro) Kurz is a high-quality bamboo species for shoots, known for its sweet, tender, and crisp bamboo shoots, making it highly valuable for development. The biomass of bamboo forests is closely related to bamboo shoot yield, and studying biomass accumulation helps maintain the stability of artificial forest ecosystems. Biomass estimation facilitates the monitoring of stand dynamics and promotes the scientific management and sustainable development of D. brandisii plantations. This study collected biological data from 181 D. brandisii individuals in Changning County, Yunnan Province, to construct mathematical models for estimating single-plant biomass using the least squares method. The models were iteratively optimized using the quasi-Newton method. Based on performance indicators and residual analysis, six models were identified as suitable for estimating the biomass of D. brandisii, including multiple linear regression (MLR), linear, allometric growth, and cubic models. These models provide valuable references for biomass estimation and the management of D. brandisii plantations.