高级检索

    西秦岭徽成盆地县域尺度土壤侵蚀时空变化及其驱动力以徽县为例

    Spatiotemporal variation of soil erosion and its driving forces in Huicheng Basin of Western Qinling Mountains at county scale: A case study of Huixian county

    • 摘要:
      目的 探究西秦岭徽成盆地土壤侵蚀时空变化特征及其驱动因素,为该区开展水土保持生态文明建设提供科学参考。
      方法 选取西秦岭徽成盆地的徽县为研究对象,利用RUSLE模型量化评估县域尺度土壤侵蚀时空变化特征,运用OPGD模型分析土壤侵蚀变异的驱动因素。
      结果 1)土壤侵蚀模数和侵蚀量从2000—2020年下降明显,主要为微度侵蚀,分布范围逐步扩大。2)土壤侵蚀在土地利用类型、坡度和海拔上表现一定分异性,草地土壤侵蚀模数和侵蚀量最低;中海拔地区(10001500 m)微度和中度及以上土壤侵蚀程度最高;在坡度 > 25°的区域,侵蚀模数和侵蚀量显著增加,且各级土壤侵蚀面积在坡度 > 35°时均显著降低。3)植被覆盖度是土壤侵蚀空间分异的主导因素,贡献率 > 34%,各因子间交互作用对土壤侵蚀空间分异的影响高于单因子,特别是植被覆盖度因子与其他因子交互对土壤侵蚀发展的增强作用尤为明显。
      结论 徽县土壤侵蚀时空分异明显,土壤侵蚀模数和侵蚀量逐减,微度侵蚀占主导地位,水土保持状况好转,植被要素及与其他因子的交互作用是加强水土流失治理必须考虑的因素。

       

      Abstract:
      Objective The Huicheng Basin constitutes a key ecological part of the Western Qinling Mountains within China's north-south transitional zone. This study aims to analyze the spatiotemporal variation characteristics of soil erosion and identify the associated driving factors within this region, thereby offering a scientific reference for implementing soil and water conservation and ecological civilization initiatives in the region.
      Methods Huixian county in the Huicheng Basin of the Western Qinling Mountains was selected as the research area. The Revised Universal Soil Loss Equation (RUSLE) model was utilized to evaluate the spatiotemporal patterns of soil erosion at the county scale. Additionally, the optimal parameters-based geographical detector (OPGD) model was employed to investigate the driving factors of soil erosion variation.
      Results 1) The results indicated that between 2000 and 2020, both the soil erosion modulus and the total soil erosion amount exhibited a significant downward trend. Slight erosion emerged as the predominant form of soil erosion, with its distribution gradually expanding over the study period. 2) Significant variation of soil erosion was observed across different land use types, slope gradients, and elevations. Among these, grasslands demonstrated the lowest soil erosion modulus and amount. The mid-elevation zone, ranging from 1 000 to 1 500 meters above sea level, experienced the highest intensity of slight and moderate-to-severe soil erosion. In areas where the slope gradient exceeded 25°, a substantial increase in the soil erosion modulus and amount was recorded. Conversely, when the slope gradient surpassed 35°, the area affected by all intensity grades of soil erosion significantly decreased. 3) Vegetation coverage was determined to be the primary factor influencing the spatial variation of soil erosion, with a contribution rate exceeding 34%. The interactions among various factors were found to exert a more pronounced influence on the spatial variation of soil erosion than single factors. In particular, the interactions between vegetation coverage and other factors significantly enhanced the impact on soil erosion.
      Conclusions In Huixian county, soil erosion exhibits distinct spatiotemporal variation. Soil erosion modulus and amount are found to have declined over time, with slight erosion becoming the dominant type. This trend suggests an improvement in soil and water conservation status. The study concludes that vegetation elements and their interactions with other factors must be taken into account in soil and water loss control strategies.

       

    /

    返回文章
    返回