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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。
The research was conducted on the vegetation carbon storage of Armeniaca sibirica which is widely distributed in the eastern part of Inner Mongolia. Based on the regression analysis of the above-ground carbon stocks of plant height (H), Dijing (D) and Prunus armeniaca, the optimal model of aboveground carbon storage was established. The results showed that: (1) The regression equation of optimal plantation carbon storage of natural and artificial apricots was a power function equation. The test index RS was less than 20%, the RMA was less than 30% and the fitting accuracy was above 70% To estimate the above-ground carbon storage of wild apricot. (2) The coefficient of variation of root and shoot of natural and artificial almond was 0.606 5 and 0.439 4, respectively. The coefficient of variation of root and shoot in the aeolian sandy soil were 0.406 5 and 0.3242 3, respectively. The values of chestnut soil 0.650 4 and 0.528 0, dark brown soil 0.775 8 (natural apricot), indicating that the root-crown ratio is larger than the total. The assessment of the underground carbon storage by root / shoot ratio needs further study.