中国湿地松立木生物量方程的研建

Construction of individual tree biomass equations for Pinus elliottii in China

以我国湿地松154株样木的生物量实测数据为基础,综合利用分段建模方法和非线性误差变量联立方程组方法,建立了与立木材积方程相容的地上生物量方程和生物量转换因子模型,以及与地上生物量方程相容的地下生物量方程和根茎比模型。结果表明:所建地上生物量方程的平均预估误差小于5%,地下生物量方程的平均预估误差小于10%,全树生物量估计的平均预估误差小于3%,完全可满足森林生物量计量的精度要求,从而为我国湿地松林的生物量估计及碳汇能力评估提供了计量依据。

Based on the measured biomass data of 154 sample trees for slash pine (Pinus elliottii) in China, atfirst the individual tree aboveground biomass equations and biomass conversion factor (BCF) models compatible to tree volume equations were constructed by using the segmented modeling approach and nonlinear error-in-variable simultaneous equations, then the individual tree belowground biomass equations and root-to-shoot ratio (RSR) models compatible to aboveground biomass equations were also established. The mean prediction errors (MPE’s) of developed aboveground biomass equations were less than 5%, the MPE’s of belowground biomass equations were less than 10%, and the MPE’s of whole tree biomass estimates were less than 3%, which can satisfy the precision requirement of biomass estimation. Therefore, the constructed biomass equations in this paper can provide quantitative basis for biomass estimation and carbon assessment of slash pine forests in China.