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首页> 外文期刊>Soil & Tillage Research >Characterization of soil surface properties following disturbance of a clay soil in southern Manitoba
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Characterization of soil surface properties following disturbance of a clay soil in southern Manitoba

机译:曼尼托巴省南部粘土土壤扰动后的土壤表面特性表征

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摘要

This research demonstrated the use of a laser profiling system (LPS) and digital imagery as useful tools in measuring soil micro-topography and crop residue cover following a soil disturbance event. The soil micro-topography was characterized in terms of surface roughness using two geostatistical approaches; semivariance analysis and the mean absolute-elevation-difference method. Univariate statistical analysis was also used. All three procedures used to describe surface roughness were successful in detecting changes in surface roughness due to soil disturbance and the addition of corn residue. There was a definite advantage in using the geostatistical approaches to characterize surface roughness as the indices they provide give insight into the characteristics of the surface roughness. Crop residue cover was measured using digital images and image analysis software to contrast the soil and the crop residues. The series of field experiments examined the roles of both soil disturbance and corn residue and their interactions on surface roughness, crop residue cover, exposed surface area, and near-surface porosity. Soil disturbance and the addition of corn residue were both found to be significant factors affecting the surface roughness, crop residue cover, exposed surface area, and near-surface porosity. Due to the interaction and added effects of crop residue, it was also demonstrated that the calculated surface area may not be a measure of exposed soil area, but rather it is a combination of soil and residue surface areas. Similarly, the roughness of a surface does not only reflect the soil clods produced during tillage but that of the residue itself. Furthermore, it was demonstrated that the information gathered by the LPS and digital imagery can be used to evaluate surface characteristics arising from different tillage practices.
机译:这项研究表明,使用激光轮廓分析系统(LPS)和数字图像作为测量土壤扰动事件后土壤微观形貌和农作物残茬覆盖率的有用工具。使用两种地统计学方法根据表面粗糙度表征了土壤的微地形。半方差分析和平均绝对高程差法。还使用单变量统计分析。用于描述表面粗糙度的所有三种程序均能成功检测出由于土壤扰动和添加玉米残渣而导致的表面粗糙度变化。使用地统计方法来表征表面粗糙度具有明显的优势,因为它们提供的指标可以洞悉表面粗糙度的特征。使用数字图像和图像分析软件测量作物残留量,以对比土壤和作物残留物。一系列田间试验研究了土壤扰动和玉米残留物的作用,以及它们在表面粗糙度,农作物残留物覆盖率,裸露表面积和近地表孔隙度上的相互作用。发现土壤扰动和玉米残留物的添加都是影响表面粗糙度,农作物残留物覆盖率,暴露表面积和近表面孔隙率的重要因素。由于农作物残渣的相互作用和附加效应,还证明了计算出的表面积可能不是裸露土壤面积的量度,而是土壤和残渣表面积的组合。同样,表面的粗糙度不仅反映了耕作过程中产生的土壤凝块,还反映了残留物本身的粗糙度。此外,事实证明,LPS和数字图像收集的信息可用于评估不同耕作方法产生的地表特征。

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