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    王冬至, 张志东, 牟洪香, 李永宁, 黄选瑞. 结构方程模型在落叶松林经营中的应用[J]. 北京林业大学学报, 2015, 37(3): 69-75. DOI: 10.13332/j.1000-1522.20140326
    引用本文: 王冬至, 张志东, 牟洪香, 李永宁, 黄选瑞. 结构方程模型在落叶松林经营中的应用[J]. 北京林业大学学报, 2015, 37(3): 69-75. DOI: 10.13332/j.1000-1522.20140326
    WANG Dong-zhi, ZHANG Zhi-dong, MU Hong-xiang, LI Yong-ning, HUANG Xuan-rui. Applications of structural equation model in the management of Larix principis-rupprechtii plantations[J]. Journal of Beijing Forestry University, 2015, 37(3): 69-75. DOI: 10.13332/j.1000-1522.20140326
    Citation: WANG Dong-zhi, ZHANG Zhi-dong, MU Hong-xiang, LI Yong-ning, HUANG Xuan-rui. Applications of structural equation model in the management of Larix principis-rupprechtii plantations[J]. Journal of Beijing Forestry University, 2015, 37(3): 69-75. DOI: 10.13332/j.1000-1522.20140326

    结构方程模型在落叶松林经营中的应用

    Applications of structural equation model in the management of Larix principis-rupprechtii plantations

    • 摘要: 研究林分结构因子、立地因子、林分密度因子之间的关系对促进林分生长及改善经营措施具有重要意义。数据处理采用SPSS17.0和AMOS7.0数据统计分析软件完成。结果表明:海拔是影响落叶松人工林生长的主要环境因子,其与林分平均地径、林分平均胸径、平均树高和林分断面积相关系数分别为0.51、0.54、0.59、0.62,且达到0.05显著水平;运用观测变量交叉积协差阵建立了华北落叶松人工林结构方程模型,得出了各因子与林分结构因子、立地因子、林分密度因子相关关系及各潜在变量之间相关系数分别为0.863、0.681、0.706,经检验各指标值均表明模型适配性较好,模型在应用过程中应以改善立地质量为基础,协调林分结构因子、立地因子、林分密度因子之间关系。

       

      Abstract: A better understanding of the relationship between structural factors of stand, site factors and stand density factors is important for us to improve the management measures. We processed data by using SPSS17.0 and AMOS7.0 statistical software. The elevation is the major environmental factor affecting the growth of larch plantations, and its correlation coefficients with average basal diameter is 0.51, 0.54 with average DBH, 0.59 with mean height and 0.62 with basal area, all at a significant level of P0.05. By applying a cross product covariance matrix of observed variables, we established a structural equation model for larch plantations. The correlation coefficient between each factor and forest structural factors, site factors and stand density factors as well as latent variables are 0.863, 0.681, and 0.706, respectively. Validation of the indices in the model shows that the model fits well. Our analysis of the model provides scientific evidences for sustainable management of Larix principis-rupprechtii plantations in North China. The application of the model should be based on the improvement of site quality, and coordinating the relationship between forest structural factors, site factors and stand density factors.

       

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