基于结构方程模型的杉木林林分结构多样性评价
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湖南省自然科学基金面上项目(2023JJ30991);"十二五"国家科技支撑计划专题项目(2012BAD22B0505);湖南省教育厅重点科学研究项目(19A518)


Evaluation of stand structure diversity of Cunninghamia lanceolata forest based on structural equation modeling
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    摘要:

    综合评价杉木林林分结构多样性,可为提高林分结构多样性和精准制定森林经营措施提供理论依据。以湖南省平江县福寿林场的杉木林为研究对象,利用4株邻近木构建林分空间结构单元,选取表征林分树种组成多样性的全混交度、Simpson多样性指数与Shannon-Wiener指数,表征林木大小分化多样性的大小变异系数、大小分化度均值指数与交角竞争指数和表征林木空间分布多样性的角尺度、林层指数与空间密度指数等9个指标,构建林分结构多样性评价结构方程模型,并确定各指标权重,对林分结构多样性进行综合评价。结果表明:(1)林分结构多样性评价结构方程模型的卡方自由度比值χ2/df为1.409,介于1-3之间,比较适配指数(CFI)、常规拟合指数(NFI)、增值适配指数(TLI)和拟合优度指数(GFI)的值分别为0.985、0.953、0.978和0.931,均大于0.9,近似误差均方根(RMSEA)为0.048,小于0.05,各指数的拟合效果良好,模型的适配度较好,满足研究的需要;(2)3个内生潜在变量林分树种组成多样性、林木大小分化多样性和林木空间分布多样性的权重分别为0.3518、0.3201和0.3281,对外生潜在变量林分结构多样性的影响大致一样,Shannon-Wiener指数是影响林分树种组成多样性的关键因素,交角竞争指数是影响林木大小分化多样性的关键因素,林层指数是影响林木空间分布多样性的最重要因素;(3)研究区3个龄组杉木林林分结构多样性的综合得分分别为0.3364、0.4396和0.4588,评价等级处于Ⅱ、Ⅲ等级,林分结构多样性较低,未达到理想的状态。评价结果较客观地表征了研究区杉木林林分结构多样性的现状,表明利用结构方程模型来评价林分结构多样性是科学、可行的,可为林分结构多样性评价提供一个全新的思路。

    Abstract:

    The stand structure diversity of Cunninghamia lanceolata forest was comprehensively evaluated, in order to provide the theoretical basis for improving the stand structure diversity and accurately formulating forest management measures. Taking the Cunninghamia lanceolata forest in Fushou experimental forest farm of Pingjiang county, Hunan Province as the research object, the stand spatial structure unit was constructed by four adjacent trees. Nine indexes were selected, including complete mingling degree,Simpson diversity index and Shannon-Wiener index in characterizing the stand tree species composition diversity, size coefficient of variation, mean size differentiation index and angle competition index in characterizing the tree size differentiation diversity, and uniform angle index, storey index and spatial density index in characterizing the tree spatial distribution diversity, to construct a structural equation model for the evaluation of stand structure diversity and determine the weight of each index for a comprehensive evaluation of stand structure diversity. The results showed that:(1) For the structural equation model of stand structure diversity evaluation, the Chi-square degree of freedom (χ2/df) was 1.409, which was between 1-3. The values of CFI, NFI, TLI and GFI were 0.985, 0.953, 0.978 and 0.931, which were greater than 0.9, respectively, and the RMSEA was 0.048, which was less than 0.05. All indexes were well fitted, the fitness of the model was good, and the research requirements were satisfied. (2) The weights of the three endogenous latent variables stand tree species composition diversity, tree size differentiation diversity and tree spatial distribution diversity were 0.3518, 0.3201 and 0.3281, respectively, with approximately the same effect on the exogenous latent variable stand structure diversity. The Shannon-Wiener index was the key factor affecting the stand tree species composition diversity. Angle competition index was the key factor affecting the tree size differentiation diversity. The storey index was the most important factor affecting the tree spatial distribution diversity. (3) The comprehensive scores of the stand structure diversity of Cunninghamia lanceolata forests in the three age groups in the study area were 0.3364, 0.4396 and 0.4588, respectively, which were evaluated in the grade Ⅱ and Ⅲ. The stand structure diversity was low and did not reach the ideal state. In this paper, the evaluation results objectively characterized the current status of the stand structure diversity of Cunninghamia lanceolata forest in the study area, showing that it was scientific and feasible to apply the structural equation model to evaluate the stand structure diversity, it is hoped to provide a new idea for the evaluation of the stand structure diversity.

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莫永俊,曹小玉,赵文菲,谢政锠,孙亚萍,袁达,张泽莲,吴树萍,王萌蕾.基于结构方程模型的杉木林林分结构多样性评价.生态学报,2024,44(2):745~756

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