内蒙古东部山杏碳储量回归模型研究

THE RESEARCHING OF CARBON STORAGE REGRESSION MODEL FOR SIBERIAN APRICOT IN EASTERN INNER MONGOLIA

对内蒙古东部地区广泛分布的山杏进行植被碳储量研究,利用株高(H)、地经(D)与山杏地上碳储量进行回归分析,构建最优地上碳储量预测模型。结果表明:(1)天然和人工山杏最优地上植被碳储量回归方程为幂函数方程,检验指标RS小于20%、RMA小于30%,拟合精度在70%以上,构建的预测模型可应用于估算山杏地上碳储量。(2)天然和人工山杏根冠比变异系数为0.606 5、0.439 4,其中风沙土中的根冠比变异系数分别为0.406 5、0.342 3,栗钙土0.650 4、0.528 0,暗棕壤0.775 8(天然山杏),说明根冠比总体离散程度大,通过根冠比评估地下碳储量还需要进一步的探讨。

An experiment was conducted to study the above- ground carbon Storage of Siberian Apricot which is widely distributed in the eastern part of Inner Mongolia. The optimal regressive equation of above- ground carbon Storage of Siberian Apricot was established using ground diameter and plant height as the estimation indexes by mathematical simulation. The results showed that：（1）The carbon Storage of natural and artificial Siberian Apricot could be well expressed by a power function,which RS is less than 20% and RMA is less than 30%. The precision of model is above 70%,which can be applied to estimate above- ground carbon Storage of Siberian Apricot.（2）The natural and artificial Siberian Apricot ratio of root to shoot coefficient of variation is 0. 606 5 and 0. 439 4,which is 0. 406 5、0. 342 3 in Aeolian sandy soil,0. 650 4、0. 528 0 in chestnut soil,and 0. 775 8（ only natural Siberian Apricot） in dark brown soil. The overall discrete degree is large and through ratio of root to shoot needs further discussion to assess underground carbon storage.