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    王顺忠, 王飞, 张恒明, 代力民, 王庆礼. 长白山阔叶红松林径级模拟研究——林分模拟[J]. 北京林业大学学报, 2006, 28(5): 22-27.
    引用本文: 王顺忠, 王飞, 张恒明, 代力民, 王庆礼. 长白山阔叶红松林径级模拟研究——林分模拟[J]. 北京林业大学学报, 2006, 28(5): 22-27.
    WANG Shun-zhong, WANG Fei, ZHANG Heng-ming, DAI Li-min, WANG Qing-li. Modeling the diameter distribution of forest stands of broadleaved-Korean pine mixed forests on the Changbaishan Mountain: Forest stand modeling[J]. Journal of Beijing Forestry University, 2006, 28(5): 22-27.
    Citation: WANG Shun-zhong, WANG Fei, ZHANG Heng-ming, DAI Li-min, WANG Qing-li. Modeling the diameter distribution of forest stands of broadleaved-Korean pine mixed forests on the Changbaishan Mountain: Forest stand modeling[J]. Journal of Beijing Forestry University, 2006, 28(5): 22-27.

    长白山阔叶红松林径级模拟研究——林分模拟

    Modeling the diameter distribution of forest stands of broadleaved-Korean pine mixed forests on the Changbaishan Mountain: Forest stand modeling

    • 摘要: 该文利用指数分布、Weibull分布和混合分布3种类型7个方程模拟长白山阔叶红松林径级分布.研究结果表明,长白山阔叶红松林的径级分布不是理想的倒“J”型,基本为“S”型;用3个负指数方程和修正指数方程模拟均为倒“J”型,在半对数图上为直线;Weibull方程模拟出了单峰,但是效果一般;用2个和3个组分的Weibull混合模型对长白山阔叶红松林径级分布进行了成功模拟,3个组分的Weibull混合模型的模拟效果有所提高,但是并没有显著改善.

       

      Abstract: The diameter distribution of forest stands of broadleaved-Korean pine mixed forests on the Changbaishan Mountain was described by three distributions: exponential distribution, Weibull distribution and a finite mixture distribution,together with seven functions.Results showed that: 1) the diameter distribution was not the traditionally reversed J-shaped form but the rotated-sigmoid form;2) both the three negative exponential functions and a modified exponential function formed the reversed J-shaped curves and described the straight line in the form of the semilogarithmic plot;3) Weibull function built unimodal curve,but was not very effective;4) a finite mixture of two or three Weibull distributions was effective in modeling the diameter distribution of forest stands,but the finite mixture of three Weibull distributions was not notably better than that of the two Weibull distributions.

       

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