The purpose of this study was to determine if relationships between landscape position and soil properties occurred on a podzolic landscape with hummocky meso-topography, which is under intensive potato production in New Brunswick, Canada. Elevation was measured on an approximately 5 m grid spacing and used to construct a digital elevation model. Selected soil textural, morphological and chemical properties were measured on a 7×17 grid with 25 m spacing. Landform segmentation was used to divide sampling locations into eight landform elements based on profile and plan curvature, slope gradient and specific dispersal area. Orthic Humic Regosols and Orthic Sombric Brunisols were predominant in upper slope positions, whereas gleyed subgroups of the main soil orders were commonly found in the concave, lower slope positions. Lower, concave slope positions generally had lesser sand and coarse fragment contents, greater silt, organic carbon and 137Cs contents, and greater depth to C horizon and to bedrock than upper, convex slope positions. In contrast, A horizon thickness, clay content, soil pH and soil test P showed little relationship to landscape position. Landform segmentation was effective in characterizing the spatial distribution of soil loss at the study site, as indicated based on 137Cs content, and of soil taxa. However, the resulting landform elements had generally small differences in parameters such as SOC, sand, silt and clay content, which are commonly considered important in agricultural production. The landscape examined in this study appears to be dominated by soil loss and the closely related homogenizing effects of intensive tillage for potato production. The properties that continue to show a clear relationship to landform position are largely remnant properties (e.g., depth to bedrock or to the C horizon), whose pattern reflects a stronger hydrological and/or pedological control. The results provide further evidence that human-induced changes in soil can fundamentally alter the natural pattern of soil distribution in the landscape, even over relatively short (i.e., 100 years) time scales.
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