中南林业科技大学学报

缺乏阔叶树种生物量模型是影响亚热带常绿阔叶林生物碳库估测精度的重要原因，过去采用其他地区生物量模型估测亚热带常见阔叶林生物碳库，但其是否适用于本地区的阔叶林生物碳库估计仍存在争议。本研究在三明米槠林样地采用标准木结合相对生长方程法建立 31株树的生物量模型，收集亚热带其他地区 136株阔叶树生物量数据建立亚热带区域生物量模型，并与其他地区生物量模型比较。结果表明：亚热带区域阔叶林生物量模型为 ln(AGB)=-1.982+1.209ln(D2)和 ln(AGB)=-2.907+0.932ln(D2H)，树高和胸径关系模型为 ln(H)=0.469+1.082ln(d)-0.106ln(D)2。Chave等建立的以胸径 -树高为变量的湿润热带雨林生物量回归模型估算中亚热带森林生物量相对误差小于以胸径为变量建立的模型。 Basuki、Brown、Chan、Ketterings和 Kenzo等建立的生物量模型对我国中亚热带常绿阔叶林生物量估测精度不高， Ogawa的泰国常绿阔叶天然林生物量回归模型精度最高。该研究表明在利用区域生物量模型来估算中亚热带常绿阔叶林生物碳库应该检验其适用性，特别要考虑到模型的树种样本数量和胸径范围。

Few data on tree biomass allometric equations are the important reason for the biomass carbon inaccuracy estimation of mid-subtropical broad-leaved forest. It was a genera approach on the estimation the biomass of mid-subtropical broad-leaved forest using the existing pan tropical/subtropical equation developed by other areas. But it has a dispute whether it can be estimated accurately the biomass carbon of mid-subtropical broad-leaved forest using pan tropical/subtropical equation. This study using a data set on aboveground biomass for 31 trees destructively measured at Castanopsis fargesii forest in Sanming; then collected the data set on 136 tree biomass in subtropical broad-leaved forest, and developed the pansubtropical allometric equations; then assessed the validity of the pan-subtropical and ten existing equations. The results believed that the best ﬁtted aboveground biomass model were ln(AGB)= -1.982+1.209ln(D2) and ln(AGB)=-2.907+0.932ln(D2H). The diameter-height allometry was ln(H)=0.469+1.082ln(d)-0.106ln(D)2. The relative error of biomass estimation of subtropical forest applied by moist tropical forest biomass model with height as a predictor from Chave was less than models without height as a predictor. The pan equations from Basuki, Brown, Chan, Ketterings, and Kenzo were not valid for the mid-subtropical broad-leaved forest. But the pan equations from Ogawa was the best valid for the biomass carbon estimation. The result showed that using pan allometric equations to estimate the suitability of the biomass carbon pool in mid subtropical evergreen broad leaved forest need to test its applicability and identify the number and DBH rang of tree.

引言
1 材料与方法
2 结果与分析
3 结论与讨论

表1 热带和亚热带阔叶林生物量回归模型†<br/>Table 1 Biomass regression model of tropical and subtropical broad leaved forest

表1 热带和亚热带阔叶林生物量回归模型†
Table 1 Biomass regression model of tropical and subtropical broad leaved forest

表2 亚热带森林区域生物量回归模型<br/>Table 2 Biomass regression model of subtropical forest area

表2 亚热带森林区域生物量回归模型
Table 2 Biomass regression model of subtropical forest area

表3 树高-胸径回归模型 <br/>Table 3 Tree height-DBH regression model

表3 树高-胸径回归模型
Table 3 Tree height-DBH regression model

表4 与其他回归模型相对误差比较 <br/>Table 4 Comparison of relative errors with other regression models

表4 与其他回归模型相对误差比较
Table 4 Comparison of relative errors with other regression models

图1 亚热带常绿阔叶林31 株树地上部分生物量预测误差<br/>Fig.1 Prediction error of aboveground biomass of 31 tree species in subtropical evergreen broad leaved forest

图1 亚热带常绿阔叶林31 株树地上部分生物量预测误差
Fig.1 Prediction error of aboveground biomass of 31 tree species in subtropical evergreen broad leaved forest

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备注

引言

1 材料与方法

2 结果与分析

3 结论与讨论

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