土壤与地表水体空间分布格局的交互关系研究
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S151;P966

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国家自然科学基金项目(41701237;41571208)资助。


Study on Interactive Relationship Between Spatial Distribution Pattern of Soil and Surface Water
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    摘要:

    以中国中部典型农业区的土壤和地表水体数据为例,基于改良的土壤多样性计量方法计算并统计了1 km网格尺度下的土壤类型个数、土壤构成组分多样性、土壤空间分布多样性和地表水体空间分布多样性等多类数据指数,探索了区域土壤与地表水体在地理空间分布格局上的内在联系。结果表明:①研究区内最具代表性土类潮土和褐土(两者面积加和占研究区总面积85%,两者空间分布多样性均大于0.8)的空间分布格局与区域地表水体的空间分布格局之间存在数据联系,回归分析中的判定系数R2大于0.5,这与水要素在两种土壤类型成土过程中所起的作用密切相关。②研究区面积的增加一般会造成地表水体对区域内土壤类型数量的影响作用减弱。与其他成土因素相比,水要素在土壤形成中影响作用的重要程度与研究尺度的大小有关。③基于资源地理空间分布离散性分析的土壤多样性计量方法及理论为水、土等不同资源类型的空间分布格局评价及其交互关系研究提供了理论及数据支持。

    Abstract:

    An improved pedodiversity methodology was applied for exploring the intrinsic relationship of the geo-spatial distribution patterns between the regional soil and surface water in a typical agricultural region of central China. Several parameters, such as the number of soil types, soil constituent diversity, soil spatial distribution diversity, and surface water spatial distribution diversity, were calculated and analyzed with 1 km grid scale. The results showed that the most representative soil groups in the study area were Ochri-Aquic Cambosol and Hapli-Ustic Argosol, and whose area in total accounted of 85% of the total area of the study region and their spatial distribution diversity were greater than 0.8. There was a data connection between the spatial distribution pattern of these two representative soil groups and the spatial distribution pattern of the regional surface water, the coefficient of determination (R2) was above 0.5, which was closely related to the role of water factor in soil-formation process of these two soil groups. The increase in the area of the study region would generally reduce the effect of surface water on the number of regional soil types. Compared with other soil-forming factors, the importance of the influence of water factor in soil formation was related to the size of study scale. The improved measurement methods and theories of pedodiversity which based on the discreteness analysis of the geo-spatial distribution of resources could provide a theoretical and data support for the evaluation of the spatial distribution pattern of different resource types (such as water and soil) and their interactive relationship.

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段金龙,张戈,任圆圆,张学雷,李卫东.土壤与地表水体空间分布格局的交互关系研究[J].土壤,2021,53(5):1072-1080. DUAN Jinlong, ZHANG Ge, REN Yuanyuan, ZHANG Xuelei, LI Weidong. Study on Interactive Relationship Between Spatial Distribution Pattern of Soil and Surface Water[J]. Soils,2021,53(5):1072-1080

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