论文部分内容阅读
用林分内单木自身胸径作为竞争指标,选择6个一元函数,以0.84的平均相关系数为基限确定单木生长的基础方程。选构9个二元函数,以偏相关系数不低于0.75,且复相关系数在0.85以上为标准选择参数方程。通过精度分析,选出速率拟合精度83%~93%,且状态预测精度94%~95%的4套单木竞争生长模型。其适用对象主要为黔中地区中上等立地条件、正常经营密度的马尾松人工林。
The stand diameter of single tree in the stand was taken as the competition index, 6 unary functions were selected, and the basic equation of single wood growth was determined based on the average correlation coefficient of 0.84. Election 9 binary function, the partial correlation coefficient of not less than 0.75, and the complex correlation coefficient above 0.85 as the standard choice of parametric equation. Through the precision analysis, four single-tree competition growth models with rate fitting accuracy of 83% -93% and state prediction accuracy of 94% -95% were selected. The main object of its application is the mid-to-upper farmland conditions in Central Guizhou Province, and the normal operation density of Pinus massoniana plantation.