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熊河先, 徐建. 高山松天然林林分直径大小多样性研究[J]. 四川林业科技, 2020, 41(4): 21−27. DOI: 10.12172/202002090001
引用本文: 熊河先, 徐建. 高山松天然林林分直径大小多样性研究[J]. 四川林业科技, 2020, 41(4): 21−27. DOI: 10.12172/202002090001
Xiong H X, Xu J. Study on stand diameter size diversity in Pinus densata natural forest[J]. Journal of Sichuan Forestry Science and Technology, 2020, 41(4): 21−27. DOI: 10.12172/202002090001
Citation: Xiong H X, Xu J. Study on stand diameter size diversity in Pinus densata natural forest[J]. Journal of Sichuan Forestry Science and Technology, 2020, 41(4): 21−27. DOI: 10.12172/202002090001

高山松天然林林分直径大小多样性研究

Study on Stand Diameter Size Diversity in Pinus densata Natural Forest

  • 摘要: 以48块高山松天然林为研究对象,选用香农—威纳指数(Shannon-Wiener Index)、辛普森指数(Simpson's diversity Index)来量化高山松林分总体及高山松的直径大小多样性,采用相关分析、一般回归分析以及CCA排序分析法分析高山松天然林林分直径大小多样性指数随林分因子、地形因子、林下植被因子的变化规律。研究结果表明:(1)优势树种成分较大时,直径大小多样性在林分总体和优势树种上表现一致。(2)研究区内样地内林木直径大小多样性表现为样地总体>高山松,样地内其他树种对高山松的直径大小多样性产生了一定的影响。(3)环境因子对林分直径大小多样性的影响:林分因子>地形因子>林下植被因子,林分因子中林分平均胸径对高山松直径大小多样性的影响最高,相关系数最高0.756,拟合精度最好,R2最高0.6989,使用CCA排序轴分析时也在第一轴表现最优。

     

    Abstract: Taking 48 plots of Pinus densata natural forest as research objects, the Shannon-Wiener Index and Simpson's diversity Index were used to quantify the overall and diameter size diversity of Pinus densata stands. Correlation analysis, general regression analysis and CCA ranking analysis were used to analyze the variation of diameter size diversity index of Pinus densata forest with stand factors, topographical factors, and understory vegetation factors. The results showed that: (1) when the dominant tree species had a larger composition, the diameter size diversity was consistent in the overall stand population and dominant tree species. (2) within the sample plot in the study area, the overall diameter size diversity was generally higher than that of Pinus densata. Other tree species had a certain influence on the diameter size diversity of Pinus densata. (3) the influence of environmental factors on the stand diameter size diversity was as follows: stand factor > topographical factor > understory vegetation factor. The average diameter at breast height of stand had the highest influence on the diameter size diversity of Pinus densata.. The maximum correlation coefficient could reach 0.756, and the fitting precision was the best, R2 could reach 0.6989. When CCA sort axis analysis was usd, the performance in the first axis was the best.

     

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