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胡文洪, 丁莉. 垂丝柏天然林最优直径结构研究[J]. 林业建设, 2024, 42(1): 27-31.
引用本文: 胡文洪, 丁莉. 垂丝柏天然林最优直径结构研究[J]. 林业建设, 2024, 42(1): 27-31.
HU Wenhong, DING Li. Study on the optimal diameter structure of Cupressus funebris natural forests[J]. Forestry Construction, 2024, 42(1): 27-31.
Citation: HU Wenhong, DING Li. Study on the optimal diameter structure of Cupressus funebris natural forests[J]. Forestry Construction, 2024, 42(1): 27-31.

垂丝柏天然林最优直径结构研究

Study on the optimal diameter structure of Cupressus funebris natural forests

  • 摘要: 为研究川东北边缘山地垂丝柏天然林最优直径结构情况,以川东北边缘山地37块垂丝柏天然林标准地作为研究对象,将标准地公顷蓄积量从小到大划分为5个区间,分别求得了2002—2017年间林分平均生长量最大时的平均Q值,再利用负指数分布模型、线性模型和幂函数模型分别拟合垂丝柏天然林最优直径结构。结果表明:在22.7~38.4 m3/hm2、45.8~74.7m3/hm2、80.7~100.8 m3/hm2、107.5~132.8 m3/hm2和136.4~147.0 m3/hm2 5个公顷蓄积量等级中,垂丝柏天然林公顷蓄积量在107.5~132.8 m3/hm2区间中平均生长量达到最大,为28.8m3/hm2,此时平均Q值为1.7。在3种拟合最优直径结构的模型中,负指数分布模型拟合出效果较好,R2为0.852。定量化明确最优林分直径结构,为该区域以垂丝柏为优势树种的天然林未来的经营管理给出了理论支撑和技术方法。

     

    Abstract: To study the optimal diameter structure of natural forests of Cupressus funebris in the northeastern edge mountains of Sichuan,37 standard plots of Cupressus funebris natural forests in the northeastern edge mountains of Sichuan were selected as the research objects.The plots were divided into five intervals based on the hectare volume,ranging from small to large.The average Q values when the forest stand's average growth was maximum from 2002 to 2017 were calculated for each interval.Subsequently,the negative exponential distribution model,linear model,and power function model were employed to fit the optimal diameter structure of Cupressus funebris natural forests.The results showed that within the five volume classes of 22.7~38.4 m3/hm2,45.8~74.7m3/hm2,80.7~100.8 m3/hm2,107.5~132.8 m3/hm2 and 136.4~147.0 m3/hm2,the average growth reached its maximum in the volume class of 107.5~132.8 m3/hm2,with an average growth of 28.8 m3/hm2 and an average Q value of 1.7 during the period from 2002 to 2017.Among the three models used for fitting the optimal diameter structure,the negative exponential distribution model yielded better results with an R-squared value of 0.852.Quantifying the optimal forest diameter structure provides theoretical support and technical methods for the future management of natural forests in the region,where Cupressus funebris is the dominant tree species.

     

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