首页> 外文期刊>Geoderma: An International Journal of Soil Science >Fractal characteristics of soils under different land-use patterns in the arid and semiarid regions of the Tibetan Plateau, China.
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Fractal characteristics of soils under different land-use patterns in the arid and semiarid regions of the Tibetan Plateau, China.

机译:青藏高原干旱半干旱区不同土地利用方式下土壤的分形特征

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The application of fractal geometry to describe soil structure, soil dynamics, and physical processes within soil is becoming an increasingly useful tool that allows for a better understanding of the performance of soil systems. The fractal dimension of particle-size distributions (PSDs) is often used to estimate several properties in soils, such as texture and moisture characteristics. Land use patterns largely influence the PSD of a soil, but information on how this occurs for different land use patterns is very limited. In this study a modified number-based method has been applied to characterize fractal dimension of PSDs of Cryic Aridisols soils from the Tibetan Plateau, China. The various soil samples were obtained from four different types of land-use patterns: a land with integrated grass and sparse brushwood cover (IGB, ~10-30% grass and ~10% brushwood), a well-covered grassland (WCG, >75% grass), a bare land without any vegetation (BL), and a cropland used for growing wheat (CL). Analysis of the soils revealed that (1) the sand content of the top 15 cm of soil increased from 50.14 to 85.61 g/kg, (2) the soil carbon decreased from 9.94 to 3.11 g organic carbon per kg soil, (3) the soil nitrogen content decreased from 0.223 to 0.844 g nitrogen per kg soil, and (4) the fractal dimension of PSD decreased from 2.92 to 2.45, following the order IGB > WCG > BL > CL. Thus, land use had considerable influences on the fractal dimension of PSD and various other soil properties. Further, this study shows that the fractal dimensions of PSD can be a useful parameter to monitor soil degradation induced by land use patterns and changes..
机译:分形几何学在描述土壤结构,土壤动力学和土壤中的物理过程方面的应用正变得越来越有用,可以更好地了解土壤系统的性能。粒度分布(PSD)的分形维数通常用于估算土壤中的一些特性,例如质地和水分特性。土地利用方式在很大程度上影响着土壤的PSD,但是关于不同土地利用方式如何发生这种情况的信息非常有限。在这项研究中,一种改进的基于数量的方法已被用于表征中国青藏高原的低温Aridisols土壤PSD的分形维数。从四种不同类型的土地利用模式中获得了各种土壤样本:具有完整草皮和稀疏灌木丛的土地(IGB,约10-30%的草丛和〜10%的灌木丛),覆盖良好的草地(WCG,> 75%的草),没有任何植被的光秃秃的土地(BL)和用于种植小麦的农田(CL)。对土壤的分析表明,(1)土壤15厘米顶部的含沙量从50.14克/千克增加到85.61克/千克,(2)土壤碳从每千克土壤9.94克减少到3.11克/千克,(3)每千克土壤中的氮含量从0.223降至0.844 g,(4)PSD的分形维数从2.92降低至2.45,顺序为IGB> WCG> BL> CL。因此,土地利用对PSD的分形维数和其他各种土壤特性有很大影响。此外,这项研究表明,PSD的分形维数可以作为监测由土地利用方式和变化引起的土壤退化的有用参数。

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