以云南省香格里拉市高山松天然林为研究对象,实测116株高山松单木生物量数据,并计算各维量生物量因子,以幂函数形式为基本模型,构建各维量生物量因子估算模型。结果表明:各维量生物量扩展因子的决定系数(R2)>0.78,平均残差平方和(MSE)<0.03,预估精度(P)>84.00%;各维量生物量转扩因子的决定系数(R2)>0.72,平均残差平方和(MSE)<0.003,预估精度(P)>83.00%。这些模型均具有较高的拟合精度和预估精度,可为高山松碳汇计量提供数据支撑。
By taking the natural Pinus densata forest of Shangri-la in Yunnan as the research object,the aboveground biomass of each component of 116 sample trees had been investigated.Then we had calculated biomass expansion factors (BEF) and biomass conversion and expansion factors (BCEF) and constructed estimation models of biomass factor of each component used power function.The results showed that for BEF models of each component,the determination coefficient (R2) is > 0.78,mean square error (MSE) < 0.03,prediction precision (P)>84.00%.For BCEF models of each component,R2>0.72,MSE<0.003,P> 83.00%.So,the models of biomass factors have better fitting performance and higher prediction precision to supply biomass carbon measurement parameters and provide data support for the measurement of carbon sink of natural Pinus densata forest.
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