Developing Tree Biomass Models for Eight Major Tree Species in China
Developing Tree Biomass Models for Eight Major Tree Species in China
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DOI：
10.5772/65664
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发表时间：
2017-02
影响因子：
4
通讯作者：
W. Zeng
中科院分区：
文献类型：
--
作者：
W. Zeng
在气候变化的背景下，估算大区域的森林生物量是国家碳储存的关键，但在区域一级开发的模型很少。根据我国8个主要树种的大样本（地上生物量4818株，地下生物量1626株）测定数据，采用含误差的联立方程，建立了地上生物量、地下生物量、生物量转化因子（BCF）和根冠比（RSR）的一元和二元相容的综合模型体系。利用虚拟变量法分析了不同树种地上、地下生物量的差异。结果表明：（1）两个模型体系对地上生物量的估算结果基本上优于一个模型体系，而对地下生物量的估算结果差异不显著;（2）8种植物的地上生物量大小依次为：栎属（最大）、桦属、杨属、马尾松、云杉、落叶松、地下生物量以栎属（最大）、桦属、落叶松属、云杉属、杨属、马尾松、杉木、落叶松、云杉、冷杉、冷杉、冷杉和杉木为最大。披针叶冷杉;（3）除冷杉外，其它树种地上生物量模型的平均预测误差均小于5%，地下生物量模型的平均预测误差均小于10%。
In the context of climate change, estimating forest biomass for large regions is key to national carbon stocks, but few models have been developed at regional level. Based on mensuration data from large samples (4818 and 1626 trees for aboveand belowground biomass, respectively) of eight major tree species in China, the author developed oneand two-variable compatible integrated model systems for aboveground and belowground biomass, biomass conversion factor (BCF) and root-to-shoot ratio (RSR), using the error-in-variable simultaneous equations. Furthermore, the differences of aboveground and belowground biomass among various species were analyzed using the dummy variable approach. The results indicated that (1) two-variable models were almost better than one-variable models for aboveground biomass estimation, while the two model systems were not significantly different for belowground biomass estimation; (2) the eight species can be ranked in terms of aboveground biomass from Quercus (largest), Betula, Populus, Pinus massoniana, Picea, Larix, Abies to Cunninghamia lanceolata and in terms of belowground biomass from Quercus (largest), Betula, Larix, Picea, Populus, P. massoniana, C. lanceolata to Abies; (3) mean prediction errors (MPEs) of aboveground biomass models for the species were less than 5%, whereas MPEs of belowground biomass equations were less than 10%, except for Abies.