数字高程模型
土壤科学
空间变异性
土壤碳
环境科学
地形
土壤质地
数字土壤制图
空间分布
空间分析
土壤图
空间生态学
仰角(弹道)
土工试验
比例(比率)
土壤水分
采样(信号处理)
水文学(农业)
地质学
遥感
地理
数学
地图学
统计
生态学
几何学
计算机科学
计算机视觉
生物
滤波器(信号处理)
岩土工程
作者
Vivekananthan Kokulan,O. O. Akinremi,Alan P. Moulin,Darshani Kumaragamage
标识
DOI:10.1139/cjss-2017-0128
摘要
Micro-topography and spatial variability of soil properties influence the environmental consequences of site-specific management. This study investigated the spatial structure of soil properties in relation to the micro-topography of an agricultural field in the Canadian Prairies. The geospatial sampling scheme had 178 soil cores to a depth of 120 cm. Soil texture and soil water content (SWC) at 0–120 cm, total nitrogen (TN), total carbon (TC), and soil organic carbon (SOC) at 0–15 cm were measured and spatially interpolated using semi-variograms calculated with GS+. The correlation of terrain attributes, calculated from digital elevation models, with soil properties was also assessed. Texture was strongly spatially dependent in the surface layers, and the significance of spatial dependency declined with depth. Spatial autocorrelation of sand content declined from 96% at the soil surface (0–15 cm) to 90% at 30–45 cm, 53% at 75–90 cm. SWC, TC, TN, and SOC were similarly auto-correlated. Elevation, relative slope position, and vertical distance to channel network influenced the distribution of texture and SWC based on analysis with partial least squares, though this relationship decreased with depth. Terrain attributes are correlated with the spatial variability of soil properties and should be considered in environmental analyses at the micro-scale.
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