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    李松阳, 余杭, 罗清虎, 刘颖, 贺静雯, 林勇明, 王道杰, 李键. 洪涝诱发灾害干扰下受损恢复林地土壤颗粒的组成变化特征及多重分形分析[J]. 北京林业大学学报, 2020, 42(8): 112-121. DOI: 10.12171/j.1000-1522.20190388
    引用本文: 李松阳, 余杭, 罗清虎, 刘颖, 贺静雯, 林勇明, 王道杰, 李键. 洪涝诱发灾害干扰下受损恢复林地土壤颗粒的组成变化特征及多重分形分析[J]. 北京林业大学学报, 2020, 42(8): 112-121. DOI: 10.12171/j.1000-1522.20190388
    Li Songyang, Yu Hang, Luo Qinghu, Liu Ying, He Jingwen, Lin Yongming, Wang Daojie, Li Jian. Variation characteristics of soil particle composition and multifractal analysis of natural recovery forestland after damage under the disturbance of flood induced disasters[J]. Journal of Beijing Forestry University, 2020, 42(8): 112-121. DOI: 10.12171/j.1000-1522.20190388
    Citation: Li Songyang, Yu Hang, Luo Qinghu, Liu Ying, He Jingwen, Lin Yongming, Wang Daojie, Li Jian. Variation characteristics of soil particle composition and multifractal analysis of natural recovery forestland after damage under the disturbance of flood induced disasters[J]. Journal of Beijing Forestry University, 2020, 42(8): 112-121. DOI: 10.12171/j.1000-1522.20190388

    洪涝诱发灾害干扰下受损恢复林地土壤颗粒的组成变化特征及多重分形分析

    Variation characteristics of soil particle composition and multifractal analysis of natural recovery forestland after damage under the disturbance of flood induced disasters

    • 摘要:
        目的  土壤颗粒组成的分形维数可得到更细致的土壤颗粒分布信息,对准确了解洪涝诱发灾害干扰下受损林地恢复过程的土壤颗粒变化规律,加深灾害干扰前后林地自然恢复变化过程的认识等具有重要的理论意义。
        方法  采用以时间代空间的研究方法,选取次生阔叶林、杉木林、毛竹林3种林地,采集不同受损状态(未受损、刚受损、受损恢复7年)不同土层的土壤样品进行粒径分析,基于分形理论计算各项多重分形参数。
        结果  灾害干扰对林地的土壤颗粒分布存在显著影响;灾害干扰后不同恢复阶段、不同土层深度对3种林地均有影响,不同林地对干扰的响应存在差异。综合分析3种林地不同恢复状态的粒径组成和多重分形参数可知:与未受损林地比较,受损恢复林地的土壤质地较差。3种林地在不同受损状态下不同深度土壤颗粒组成的变化趋势不同。
        结论  本研究从土壤颗粒组成变化的角度阐明了洪涝诱发灾害对次生阔叶林、杉木林、毛竹林的影响,可为灾害干扰前后土壤侵蚀的防治和恢复提供理论依据。

       

      Abstract:
        Objective  Fractal dimension of soil particle composition can reflect soil particle distribution in detail. To accurately reveal the changing rules of forest soil particle during recovery process under the disturbance of disasters induced by flood, it is crucial to study the fractal dimensions in different damage stages of the forests.
        Method  Using the research method of substituting space with time, we chose three kinds of forest including secondary broadleaved forest, Chinese fir forest, and Moso bamboo forest in different damage states (undamaged, just damaged, recovered for 7 years after damage) as research sites. We collected soil samples of different soil layers and analyzed particle size, then the multifractal parameters were calculated based on fractal theory.
        Result  (1) Disaster interference had a significant impact on the distribution of soil particle in forestland. (2) After disaster interference, different recovery stages and different depth of soil affected all three kinds of woodlands, and the response of different woodlands to interference was different. (3) Through comprehensive analysis of particle size composition and multifractal parameters of three kinds of forestland under different restoration states, it can be seen that the soil texture of damaged forestland was worse than undamaged forestland. The variation trend of soil particle composition in different depth was different under varied damage conditions.
        Conclusion  In this study, the effects of flood induced disasters on secondary broadleaved forests, Chinese fir forests and Moso bamboo forest were clarified from the perspective of soil particle composition changes.

       

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