Effects of the competing controlling factors of rainfall, landscape position and soil depth on moisture responses in the Mollisol region of China

Extreme rainfall is occurring more frequently, and its impacts on erosion can be effectively mitigated through soil horizons, which enhance infiltration and reduce surface runoff. However, the interactive effects of rainfall and landscapes on soil moisture responses remain unclear. The objective of this study was to quantify the interactive influence of rainfall patterns and landscape positions (upslope [US], midslope [MS], and downslope [DS]) on event-scale moisture response metrics across various soil depths. Results indicated that the moisture response magnitude ( Δ s, m 3 m −3 ) generally decreased with increasing soil depth and decreasing slope position, while exhibiting a positive correlation with rainfall amount. The response percentage peaked during heavy rainfall within shallow layers (0–20 cm), whereas it remained limited to around 14% under light and moderate events. Moreover, the simultaneous moisture peak across soil layers, or earlier peaks in deeper layers during heavy rainfall events, was observed at all positions. For slope with lower initial moisture (S1), the response metrics at US and MS were slightly greater than those of Slope 2 (S2). However, no significant differences were observed at the DS position between S1 and S2, indicating that the influence of the slope length cannot be ignored. Overall, MS and DS positions were critical for explaining response variance, while rainfall type was the key factor for moisture dynamics across all depths. These findings suggest that the response timing and regimes of peak moisture in diverse soil layers should be considered to effectively manage erosion risks. • Response magnitude, time, and velocity were analyzed across soil layers on long hillslopes. • Downslope position exhibit greater soil moisture responses to rainfall across the soil profile. • Wetter conditions and higher slope positions show the greatest soil moisture variations during rainfall. • Slope position explains the response magnitude, while rainfall type drives response variance with soil depth.

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Publication Details

Journal
Agricultural Water Management
Published
2026-03-31
DOI
https://doi.org/10.1016/j.agwat.2026.110325
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00

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article

Effects of the competing controlling factors of rainfall, landscape position and soil depth on moisture responses in the Mollisol region of China

Yaji Wang, Tong Zhou, Yanru Wen, Wenbin Wu et al.
Agricultural Water Management
Soil Moisture and Remote Sensing
article

Effects of the competing controlling factors of rainfall, landscape position and soil depth on moisture responses in the Mollisol region of China

Yaji Wang, Tong Zhou, Yanru Wen, Wenbin Wu, Litao Lin, Yueling Zhang, Bao Liu
article en

Abstract

Extreme rainfall is occurring more frequently, and its impacts on erosion can be effectively mitigated through soil horizons, which enhance infiltration and reduce surface runoff. However, the interactive effects of rainfall and landscapes on soil moisture responses remain unclear. The objective of this study was to quantify the interactive influence of rainfall patterns and landscape positions (upslope [US], midslope [MS], and downslope [DS]) on event-scale moisture response metrics across various soil depths. Results indicated that the moisture response magnitude ( Δ s, m 3 m −3 ) generally decreased with increasing soil depth and decreasing slope position, while exhibiting a positive correlation with rainfall amount. The response percentage peaked during heavy rainfall within shallow layers (0–20 cm), whereas it remained limited to around 14% under light and moderate events. Moreover, the simultaneous moisture peak across soil layers, or earlier peaks in deeper layers during heavy rainfall events, was observed at all positions. For slope with lower initial moisture (S1), the response metrics at US and MS were slightly greater than those of Slope 2 (S2). However, no significant differences were observed at the DS position between S1 and S2, indicating that the influence of the slope length cannot be ignored. Overall, MS and DS positions were critical for explaining response variance, while rainfall type was the key factor for moisture dynamics across all depths. These findings suggest that the response timing and regimes of peak moisture in diverse soil layers should be considered to effectively manage erosion risks. • Response magnitude, time, and velocity were analyzed across soil layers on long hillslopes. • Downslope position exhibit greater soil moisture responses to rainfall across the soil profile. • Wetter conditions and higher slope positions show the greatest soil moisture variations during rainfall. • Slope position explains the response magnitude, while rainfall type drives response variance with soil depth.

Agricultural Water ManagementVol. 328
Chinese Academy of Sciences (CN), Ghent University (BE), Institute of Agricultural Resources and Regional Planning (CN), Chinese Academy of Agricultural Sciences (CN), Chinese Research Academy of Environmental Sciences (CN), Institute of Soil Science (CN)
National Natural Science Foundation of China, China Scholarship Council, Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences
Life in Land
Openalex Percentile: Top 34%
Soil Moisture and Remote Sensing
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