凹叶厚朴树皮产量预测模型的研究

通过实测61株凹叶厚朴样木胸径、树高和树皮产量，对凹叶厚朴树皮产量预测模型进行研究，采用改进单纯形法建立树皮产量数学模型，并对不同数学模型进行了比较。结果表明，改进单纯形法优化得到的模型y=O．9438643 0．02407896D^2.040018H^0.3646304，y=O.06606968D^2.059642的相关系数最大，分别为O．9623和O．9583，可用于凹叶厚朴树皮产量预测；胸径因子对凹叶厚朴树皮产量预测比树高因子更有效。

Predictive Models of Bark Production of Magnolia officinalis var.biloba

By actually surveying the DBH, the height and the bark production of 61 sampling trees of Magnolia officinalis var.biloba,the predictive mathematical models of bark production of Magnolia officinalis var.biloba were studied by using the method of modified simplex in this paper.Different predictive mathematical models were compared,and the results indicated that the predictive mathematical models y=0 9438643+0 02407896D 2 040018 H 0 3646304 and y=0 06606968D 2 059642 were consistent with theory and practice whose correlation coefficient were 0 9623 and 0 9583,respectively, which could be used to predict the bark production of Magnolia officinalis var.biloba;and the element of DBH used to predict the bark production of Magnolia officinalis var.biloba was more efficient than that of height.