Comparison on Estimation of Wood Biomass Using Forest Inventory Data
Comparison on Estimation of Wood Biomass Using Forest Inventory Data
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发表时间：
2012
期刊：
影响因子：
2.5
通讯作者：
Li;Haikui;Zhao;Pengxiang;Lei;Yuancai;Zeng;Weisheng
中科院分区：
文献类型：
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作者：
Li;Haikui;Zhao;Pengxiang;Lei;Yuancai;Zeng;Weisheng
以广东、江西、贵州、陕西、吉林、北京6省第六、七次全国森林资源清查数据为基础，本文选用IPCC、生物量扩展因子连续函数和加权生物量回归模型三种方法对木材生物量进行估算，从计算过程、方法特点、结果表明，以BEF 2为变量的IPCC方法估算的总生物量较大，采用IPCC方法估算的总生物量较小，生物量膨胀因子采用连续函数估算，加权回归模型得到的生物量扩展因子在不同省份间最稳定。基于第七次全国森林资源清查数据，利用IPCC和加权回归模型得到的各树种生物量扩展因子比利用连续函数法得到的生物量扩展因子稳定，两个时期之间的生物量增长率与生物量扩展因子具有相同的规律。
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.