湖南杉木林生物量密度的模拟与预测

Simulation and prediction on biomass density of Chinese fir in Hunan province

杉木作为我国南方地区重要用材树种,在森林固碳增汇方面起着重要作用。本研究在利用森林资源连续清查样地数据对湖南省杉木林样地尺度进行碳储量估算的基础上,通过多因子非线性回归方法,量化环境因子和林分因子对生物量密度的影响,以期为提高杉木生产力提供参考。

As an important timber tree species in southern China,Chinese fir plays an important role in terms of increasing forest carbon sequestration. On the basis of estimating Chinese fir carbon stocks,by using continuous forest inventory data on the scale of plots,by adopting multi-factor nonlinear regression method,the effects of environmental factors and biological factors on the biomass density were quantitatively studied in order to provide a reference for improving productivity of Chinese fir.