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首页> 外文期刊>African Journal of Agricultural Research >Spatial variability of soil physical and hydraulic properties in the southern Brazil small watershed
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Spatial variability of soil physical and hydraulic properties in the southern Brazil small watershed

机译:巴西南部小流域土壤物理和水力性质的空间变异性

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摘要

In order to provide an adequate usage to agricultural soils it is crucial to comprehend the soil physical attributes and their spatial variability. The variability of soil attributes is dependent on several formation processes and interactions. To properly describe such complex variability, the statistical methods used must incorporate the spatial and temporal influences. In this context, the present study was developed with the objective of evaluating the spatial variability of physical and hydraulic soil attributes, such as sand, clay and silt contents, soil macroporosity (Ma), soil microporosity (Mi), soil total porosity (TP), soil bulk density (BD), hydraulic conductivity (K), water contents at field capacity (tension of 10 kPa) and permanent wilting point (tension of 1500 kPa) (θFc and θPWP), in a watershed, located in the Sul-Rio-Grandense Shield, in the South of Brazil, through the geoestatistics analysis based on Ordinary Kriging. It was found a better performance of exponential model for the semivariograms of most physical and hydraulic soil attribute in the 0-0.15 and 0.15 to 0.25 m layers. Spatial dependence was observed for all the soil physical and hydraulic attributes studied, classifying as high for the variables macroporosity (0 to 0.15 m) and clay (0.15 to 0.25 m), with the other variables classified as moderate spatial dependence. Besides, the variables K and macroporosity presented a high heterogeneity in relation to the average, with K in the surface layer and the variables clay, Ma, K and qPWP in the subsurface layer not presenting normality according to Shapiro and Wilk test (p ≤ 0.05).
机译:为了对农业土壤提供适当的利用,理解土壤的物理属性及其空间变异性至关重要。土壤属性的可变性取决于几种形成过程和相互作用。为了正确地描述这种复杂的可变性,所使用的统计方法必须纳入时空影响。在这种情况下,本研究的目的是评估物理和水力土壤属性的空间变异性,例如沙子,粘土和粉砂含量,土壤大孔隙度(Ma),土壤微孔隙度(Mi),土壤总孔隙度(TP) ),Sul中的分水岭上的土壤容重(BD),水力传导率(K),田间持水量(张力10 kPa)和永久枯萎点(张力1500 kPa)(θFc和θPWP) -巴西南部的里奥格兰德恩斯盾(Rio-Grandense Shield),通过基于普通克里格法的地统计学方法分析。对于0-0.15层和0.15-0.25 m层中大多数物理和水力土属性的半变异函数,发现指数模型具有更好的性能。在研究的所有土壤物理和水力属性中均观察到空间依赖性,对于大孔隙度变量(0至0.15 m)和黏土(0.15至0.25 m)分类为高,而其他变量分类为中等空间依赖性。此外,根据Shapiro和Wilk检验,变量K和大孔隙度相对于平均值具有较高的异质性,表层中的K和表层中粘土,Ma,K和qPWP变量不具有正态性(p≤0.05 )。

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