区域土壤CEC与相关控制因子的空间非平稳关系评估

发布时间：2018-05-26 03:08

  本文选题：阳离子交换量 + 空间非平稳性　； 参考：《土壤学报》2017年03期

【摘要】：土壤阳离子交换量(CEC)对土壤的保肥能力具有重要影响。了解土壤CEC的空间分布及相关控制因子的影响有助于区域土壤肥力的精准调控。以往多采用传统的最小二乘(OLS)回归模型探索相关因子对土壤CEC的影响。然而,该类模型是一种总体回归方法,不能反映局部空间区域内相关因子对土壤CEC的影响。采用一种局部空间回归技术——地理加权回归(GWR)探索表层和亚表层土壤中CEC与相关控制因子(土壤黏粒、土壤有机质和土壤pH)之间的空间非平稳关系。结果表明,各控制因子在不同的子区域和深度对土壤CEC的影响均有明显差异;同时,GWR模型有效地揭示了土壤CEC与相关土壤控制因子的空间非平稳关系。所得的空间非平稳关系图可以为更精确地调控区域土壤肥力提供依据。
[Abstract]:Soil cation exchange capacity (CEC) plays an important role in soil fertility retention. Understanding the spatial distribution of soil CEC and the influence of related control factors are helpful to the precise regulation of regional soil fertility. In the past, the traditional least square regression model was used to explore the influence of related factors on soil CEC. However, this kind of model is a general regression method, which can not reflect the influence of correlation factors in local spatial area on soil CEC. A local spatial regression technique, Geographic weighted regression (GWR), was used to explore the spatial nonstationary relationship between CEC and related control factors (soil clay, soil organic matter and soil pH) in surface and subsurface soils. The results showed that the influence of control factors on soil CEC was significantly different in different subregions and depths, and the spatial nonstationary relationship between soil CEC and soil control factors was effectively revealed by the GWR model. The spatial non-stationary relationship map can provide the basis for more accurate regulation of regional soil fertility.
【作者单位】： 南京信息工程大学环境科学与工程学院;中国科学院南京土壤研究所土壤环境与污染修复重点实验室;
【基金】：国家科技支撑计划课题(2015BAD06B02-2)资助~~
【分类号】：S153
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本文编号：1935711