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首页> 外文期刊>International journal of applied geospatial research >Relationships and Spatial Structure of Soil Physical Properties in a Ten- Year Corn-Cotton Rotation Field
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Relationships and Spatial Structure of Soil Physical Properties in a Ten- Year Corn-Cotton Rotation Field

机译:十年玉米棉旋转场中土壤物理性质的关系及空间结构

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摘要

This study quantified the relationships between soil, textural, and hydraulic properties at the field-scale for a conventional tilled Memphis silt loam that had undergone a 10-year corn and cotton rotation and described their spatial variability. Composite soil samples collected from the plow layer at 272 nodes on 15 x 15 m grids were analyzed for texture and bulk density. These values were used as pedotransfer functions to predict unsaturated (Ko) and saturated hydraulic (Ks) conductivities as well as the van Genuchten curve shape parameters α and n. Regression analyses quantified relationships between the measured and model predicted soil properties. While correlations between textural and model predicted soil properties including bulk density were significant (p0.05), those between sand and clay, clay and n, clay and α were not. Sand and silt appeared to be better predictors of soil hydraulic conductivity and the van Genuchten curve shape parameters for the soil investigated. Spatial dependence was strong for sand, silt, bulk density, Ko, α and n, and moderate for clay and Ks.
机译:该研究量化了野外型薄膜淤泥壤土的田间规模之间的土壤,纹理和液压性能之间的关系,该玉米秸秆壤土经历了10年玉米和棉花旋转,并描述了它们的空间变异性。分析了从15×15M网格的272个节点收集的复合土壤样品,用于纹理和散装密度。这些值用作网兜传输功能,以预测不饱和(KO)和饱和液压(KS)电导率以及van Numanuenc曲线形状参数α和N.回归分析测量和模型预测土壤性质之间的量化关系。虽然包括堆积密度的纹理和模型预测的土壤性质之间的相关性(P <0.05),但是砂和粘土,粘土和α之间的那些。沙子和淤泥似乎是土壤液压导电性的更好预测因子,并针对土壤的van numanuchten曲线形状参数进行调查。空间依赖对于砂,淤泥,散装密度,ko,α和n,以及适度的粘土和ks。

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