刺槐萌生林生物量预测模型的研究

如何迅速而准确的预测林分的生物量是森林生长研究的重要内容。对于萌生的刺槐林，林分生物量的测定更加困难。通过采用标准地、标准木和树体分层分段抽取标准样品的方法，采伐取样刺槐的样品， 测定并计算刺槐萌条各部位的生物量和单位生物量，通过回归分析，建立了以刺槐萌生林树高（H）和冠幅（C）为测定因子的数学预测模型，得出回归方程W=0.168×(CH)1.434，其相关指数（R²）达到0.971，模型可用于刺槐萌生林的生物量预测。

Stand Biomass Prediction Model for Coppice Forest of Robinia pseudoacacia

How to rapidly and accurately predict the stand biomass is an important content in the understanding the growth condtions of forest. It is more difficult to determine the biomass of the coppice forest by spout of Robinia pseucdoacacia. Methods such as establishing sampling plots and standard woods, tree layer sectioning, determining and calculating the biomass and the unit of biomass of R. pseudoacacia sprout, adopting regression analysis, a regression equation W=0.168 (CH)1.434 was established for the biomass prediction, in which tree height (H) and the crown (C) were indices to be measured. The correlation coefficient was 0.971, indicating the applicability of the equation to be used in biomass prediction.