基于高能水分特性法分析土壤物理质量变化对土地利用方式的响应

An Analysis of Soil Physical Quality Changes in Response to Land Use Patterns Based on the High Energy Moisture Characteristic Method

  • 摘要:
    目的 土壤物理质量是土壤质量的关键组成部分,深入分析不同土地利用方式下土壤物理质量的变化,揭示其变化特征与关键影响因子,有助于进一步了解土地利用方式转变对土壤质量演变的影响。
    方法 以黄土高原纸坊沟流域耕地(谷子、土豆和玉米)、园地(果园)、草地(撂荒、芒草)和林地(刺槐)4类土地利用方式下7种样地的表层(0 ~ 15 cm)和亚表层(15 ~ 30 cm)土壤作为研究对象。使用EPIC模型和对应转换公式计算土壤可蚀性因子,采用高能水分特性法获取不同土地利用方式下的土壤物理质量指数比来表征土壤物理质量的变化。
    结果 表层土壤物理质量指数比为玉米(0.70)< 土豆(0.71)< 谷子(0.74)< 果园(0.75)< 撂荒(0.76)< 刺槐(0.84)< 芒草(0.85);亚表层土壤物理质量指数比为果园(0.59)< 玉米(0.61)< 谷子(0.62)< 撂荒(0.63)< 土豆(0.64)< 芒草(0.73)< 刺槐(0.78)。表层土壤可蚀性K值低于亚表层,不同土地利用方式中林地(刺槐)表层和亚表层土壤可蚀性均最低(0.1968和0.2010),耕地相对较高。土壤物理质量指数比与可蚀性因子K值呈显著负相关(P < 0.05),有机碳对土壤物理质量和土壤可蚀性的影响均显著(P < 0.05);土壤电导率和有机碳对土壤物理质量变化的累积贡献率高达86.2%。
    结论 表层土壤物理质量及抗蚀性均优于亚表层;芒草地、刺槐林地的土壤物理质量明显优于其他土地利用方式,林地土壤的抗蚀性最强。土壤物理质量变化能够在一定程度上表征土壤可蚀性的变化,土壤电导率和有机碳是驱动不同土地利用方式下土壤物理质量变化的主要因子。

     

    Abstract:
    Objective Soil physical quality is a key component of soil quality. A comprehensive analysis of the changes in soil physical properties under different land-use practices, along with the identification of their variation patterns and key influencing factors, can provide valuable insights into how shifts in land-use practices affect the evolution of soil quality.
    Methods The study focused on the surface (0-15 cm) and subsurface (15-30 cm) soil layers from seven sampling sites across four land use patterns in the Zhifanggou watershed of the Loess Plateau: cropland (millet, potato, and maize), orchard land (orchard), grassland (fallow and miscanthus), and forestland (black locust).The soil erodibility factor was calculated using EPIC model and corresponding conversion formula, while the high energy moisture characteristic method was applied to obtain the soil physical quality index ratio under different land use patterns, which was used to characterize the variations in soil physical quality.
    Results The surface soil physical quality index ratios were as follows: maize (0.70) < potato (0.71) < millet (0.74) < orchard (0.75) < fallow (0.76) < black locust (0.84) < miscanthus (0.85). For the subsurface soil, the physical quality index ratios were in the order: orchard (0.59) < maize (0.61) < millet (0.62) < fallow (0.63) < potato (0.64) < miscanthus (0.73) < black locust (0.78). The surface soil erodibility K-value was lower than that of the subsurface soil, with the lowest erodibility found in both the surface and subsurface layers of forestland (black locust) (0.1968 and 0.2010), while cropland exhibited relatively higher values. The soil physical quality index ratio was significantly negatively correlated with the erodibility factor K-value (P < 0.05). Organic carbon had a significant impact on both soil physical quality and soil erodibility (P < 0.05). The cumulative contribution of soil electrical conductivity and organic carbon to the changes in soil physical quality reached 86.2%.
    Conclusion The surface soil exhibits better physical quality and erosion resistance compared to the subsurface layer. Soils in miscanthus grassland and black locust forest are significantly superior in physical quality compared to other land use patterns, forestland soils have the strongest erosion resistance. The change of soil physical quality can characterize the change of soil erodibility to some extent. Soil electrical conductivity and organic carbon are the primary factors driving changes in soil physical quality across different land use patterns.

     

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