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中国西南地区栎类和桦木立木地上及地下生物量模型研建
引用本文:甘世书,贺鹏,肖前辉.中国西南地区栎类和桦木立木地上及地下生物量模型研建[J].中南林业调查规划,2014(2):1-4,10.
作者姓名:甘世书  贺鹏  肖前辉
作者单位:国家林业局中南林业调查规划设计院,长沙410014
摘    要:依据中国西南地区栎类和桦木的立木材积及生物量实测数据,采用度量误差模型的方法,建立栎类和桦木材积相容的地上生物量及地下生物量模型。结果表明,在地上生物量模型中,增加树高因子,立木材积模型的相关统计指标有较大幅度的改进,栎类和桦木二元材积模型的平均预估精度分别达到了97.86%和97.08%,而二元地上生物量模型的相关统计指标并没明显的改进;两树种一元与二元地下生物量模型的相关统计指标差异并不明显,平均预估精度均达到了90%以上。

关 键 词:立木材积  地上生物量  地下生物量  度量误差模型  相容性7

Establishment of Single-tree Above-ground and Below-ground Biomass Models for Quercus and Birch in the Southwestern China
GAN Shishu,HE Peng,XIAO Qianhui.Establishment of Single-tree Above-ground and Below-ground Biomass Models for Quercus and Birch in the Southwestern China[J].Central South Forest Inventory and Planning,2014(2):1-4,10.
Authors:GAN Shishu  HE Peng  XIAO Qianhui
Institution:(Central South Forest Inventory and Planning Institute of State Forestry Administration, Changsha 410014, Hunan, China)
Abstract:Based on the tree volume and above-ground biomass data of Quercus and Birch in southwestern Chi-na,single-tree biomass models systems of Quercus and Birch (including the compatible tree volume and above-ground biomass model and below-ground biomass model)were constructed by using the error-in-variable simul-taneous equations. The results showed that:1 )The regressions of volume equations improved significantly when tree height was used together with diameter at breast height (DBH),through the two variables-based equa-tions,the prediction precision of tree volume of Quercus and Birch were 97.86% and 97.08% respectively, while the regressions of biomass equations improved slightly. 2)The difference was slightly small between one variable-based below-ground biomass model and two variables-based model. The prediction precision of below-ground model was more than 90%.
Keywords:volume  above-ground biomass  below-ground biomass  error-variable-model  compatible model
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