黄龙山油松人工林结构与稳定性、生产力之间影响的关联分析

我国是人工林大国，人工林具有巨大的经济价值与生态效益，探究人工林内在影响关系具有重大意义。根据黄龙山林区野外业调查样地数据，通过典型相关分析（CCA）与结构方程模型（SEM）进行建模，构建了含有环境因子、林分结构因子、林分稳定性因子、林分生产力因子的结构方程模型。结果表明，环境因子对林分结构因子有0.338的正向直接影响，对林分生产力因子、林分稳定性因子之间有正向间接影响，影响系数分别问0.283、0.209。林分结构因子对林分生产力因子有正向影响，总影响系数为0.837，直接影响为0.764，间接影响为0.073。林分结构因子对林分稳定性因子有正向影响，影响系数为0.619。林分稳定性因子对林分生产力因子有着正向直接影响，影响系数为0.118。经检验各指标值均表明模型适配性较好，模型显示结构因子与稳定性因子、生产力因子之间的影响强烈，通过改良结构，调整稳定性与生产力的经营思路可行。

Correlation Analysis of the Influence between Structure and Stability,Productivity of Pinus tabuliformis Plantation in Huanglong Mountain

There is a large plantation area in China,and plantation has huge economic values and ecological benefits.It is of great significance to explore the internal influence mechanism of plantation.Based on the data of field investigation of the plantations occurring in Huanglong Mountain,and by means of canonical correlation analysis and structural equation model,a structural equation model with environmental factors,stand structure factors,stand stability factors and stand productivity factors was established.The results showed that environmental factors had a positive direct influence on stand structure factors with the influence coefficient of 0.338,had a positive indirect influence on stand productivity factors and stand stability factors,with influence coefficients of 0.283 and 0.209,respectively.Stand structure factors had a positive impact on stand productivity factor,with a total influence coefficient of 0.837,a direct influence coefficient of 0.764 and an indirect influence coefficient of 0.073.Stand structure factors had a positive influence on stand stability factorswith the influence coefficient of 0.619.Stand stability factors had a direct positive effect on stand productivity factor with the influence coefficient of 0.118.The test results showed that the model demonstrated satisfactory suitability.The structure factors,stability factors and productivity factors were connected strongly.It was feasible to adjust the stability factors and productivity factors through improving the structure factors.