301. Mechanical sowing alters slope-scale spatial variability of saturated hydraulic conductivity in the black soil region of Northeast China.
- Author
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Wu, Xintong, Yang, Yang, He, Tao, Wang, Ying, Wendroth, Ole, and Liu, Baoyuan
- Subjects
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BLACK cotton soil , *SOIL permeability , *SOWING , *CARBON in soils , *HYDRAULIC conductivity - Abstract
• K s was measured before and after sowing along a slope transect in Northeast China. • Sowing decreased K s and its spatial variability overall across the transect. • Sowing shifted K s structure from moderately-structured exponential to pure nugget. • K s distribution was dominated by BD, CLAY and SR both before and after sowing. Saturated hydraulic conductivity (K s) and its spatial variability are essential for the simulation of water and solute transport in the vadose zone. Mechanical operations have been increasingly employed in agricultural systems during recent decades to improve crop establishment, but their impact on K s spatial variability has rarely been evaluated. The objectives were to characterize the slope-scale variability of K s and to identify the primary controls dominating K s distributions before and after mechanical sowing. Along a 900 m slope transect in the black soil region of Northeast China, soil samples were collected in an interval of 20 m, and K s, bulk density (BD), particle-size distribution, wet-aggregate stability (WAS), soil organic carbon content (SOC) and land surface roughness (SR) were investigated before and after mechanical sowing in the spring. The results show that sowing significantly decreased K s along the transect (p < 0.01). Partly due to the strong comparisons among three different sections with respect to soil erosion, i.e., original, erosive and deposited sections, large K s spatial variability was detected both before and after sowing. According to the semivariogram analysis, nevertheless, sowing decreased the semivariances of K s overall and altered its spatial structure, i.e., from an exponential semivariogram possessing a sill of 0.72 mm2 min−2 and exhibiting a moderate spatial dependency before sowing to a pure nugget effect value of 0.27 mm2 min−2 corresponding to random distribution after sowing. Using the state-space approach, BD, CLAY and SR were identified as the main factors regulating K s spatial distributions, whether before or after sowing. These findings demonstrate the remarkable impact of mechanical sowing on K s and its spatial variability, and hold important implications for hydrological modeling and agricultural management in the black soil region of Northeast China. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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