CAJ | 학술논문

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。
의거중국서남지구력류화화목적립목재적급생물량실측수거，채용도량오차모형적방법，건립력류화화목재적상용적지상생물량급지하생물량모형。결과표명，재지상생물량모형중，증가수고인자，립목재적모형적상관통계지표유교대폭도적개진，력류화화목이원재적모형적평균예고정도분별체도료97.86％화97.08％，이이원지상생물량모형적상관통계지표병몰명현적개진；량수충일원여이원지하생물량모형적상관통계지표차이병불명현，평균예고정도균체도료90％이상。
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%.