利用广东、江西、贵州、陕西、吉林和北京6省市第六、第七次森林资源连续清查的资料,应用IPCC法、转换因子连续函数法和加权生物量回归模型法,从计算原理过程、方法特点、模型的可验证和可重复性以及2期生物量增长的稳定性等方面对3种估算乔木林生物量的方法进行比较。结果表明:对于总生物量,可变BEF2的IPCC法估算结果偏大,固定BEF2的IPCC法估算结果偏小,转换因子连续函数法和加权生物量回归模型法的估算结果较为适宜; 对于转换因子,同一树种在不同的区域间,加权生物量回归模型法最为稳定; 各个树种7次清查的转换因子,IPCC法和加权生物量回归模型法比较稳定,转换因子连续函数法波动较大; 对于2期生物量增长率,可变BEF2的IPCC法和固定BEF2的IPCC法结果接近,比较稳定,转换因子连续函数法波动很大。
Based on sixth and seventh national forestry inventory data of the six provinces,including Guangdong,Jiangxi,Guizhou,Shaanxi,Jilin and Beijing,the three methods(IPCC,continuous function for biomass expansion factor and weighted biomass regression model) were selected to estimate wood biomass in this paper. The estimation of the three methods were compared and analyzed from calculating process,method characters,repeatability and verifiability to stability of growth rate of biomass between two periods. The results showed the total biomass estimated by IPCC method with variable BEF2 was large, the total biomass estimated by IPCC method with constant BEF2 was small and the total biomasses estimated by continuous function for biomass expansion factor and weighted biomass regression model were middle. The biomass expansion factor derived from weighted regression model was most stable in the different provinces.Based on the seventh national forestry inventory data, the biomass expansion factors of various kinds of tree species derived from IPCC and the weighted regression model were more stable than the biomass expansion factors derived from continuous function method. The growth rate of biomass between two periods was the same regular pattern as the biomass expansion factors.