Rainfall‐Induced Soil Physical Crust Formation Reduces Soil Detachment Capacity by Enhancing Soil Erosion Resistance

ABSTRACT Soil detachment by concentrated flow is a crucial component of soil erosion, and variations in rainfall‐induced soil physical crust traits significantly influence soil detachment. In this study, to investigate the variation in soil detachment with rainfall‐induced soil physical crust, rainfall simulations with a rainfall intensity of 1.5 mm m in −1 and rainfall durations of 0 ( CK ), 5 ( R5 ), 10 ( R10 ), 15 ( R15 ), 20 ( R20 ), and 30 min ( R30 ) were conducted in runoff plots (2 m × 1 m) to form soil crust. Crust and noncrust soil samples were collected and subjected to a hydraulic flume (4 m × 0.2 m) to determine the soil detachment capacity ( D c ). Soil crust traits such as bulk density ( BD ), clay content ( C ), crust thickness ( CT ), macroaggregate content ( MA ), soil cohesion ( Coh ), and soil penetration resistance ( PR ) were measured, and soil erosion resistance ( Kr , rill erodibility, and τ c , critical shear stress) was calculated. BD and C exhibited minimal variation, whereas CT , MA , Coh , and PR demonstrated moderate temporal variability across varying rainfall durations. In contrast to the absence of rain, the D c decreased by 50% for R5 , 58% for R10 , 67% for R15 , 71% for R20 , and 83% for R30 , the K r decreased by 43%–764%, and τ c decreased by 18%–36%. D c exhibited a power function relationship with the hydraulic parameters, with the stream power being the most suitable for capturing the variations in D c . The path analysis indicated that PR and CT were the primary factors directly influencing D c , with standardized path coefficients of −0.38 and −0.48. The variability in D c can be satisfactorily predicted using a triple exponential power function involving the stream power, PR , and CT . This study revealed that variability in soil crust traits significantly influences soil detachment and offers a framework for predicting and managing soil erosion in areas susceptible to soil loss.

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Journal
Land Degradation and Development
Published
2026-01-26
DOI
https://doi.org/10.1002/ldr.70433
Primary Topic
Biocrusts and Microbial Ecology
Type
article
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0.00
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article

Rainfall‐Induced Soil Physical Crust Formation Reduces Soil Detachment Capacity by Enhancing Soil Erosion Resistance

Jian Wang, Hao Lin, Ming Zhu, Qingwei Zhang et al.
Land Degradation and Development
Biocrusts and Microbial Ecology
article

Rainfall‐Induced Soil Physical Crust Formation Reduces Soil Detachment Capacity by Enhancing Soil Erosion Resistance

Jian Wang, Hao Lin, Ming Zhu, Qingwei Zhang, Shilin Fu, Hao Wang, Chong Yao, Faqi Wu, Yan Zhuan
article en

Abstract

ABSTRACT Soil detachment by concentrated flow is a crucial component of soil erosion, and variations in rainfall‐induced soil physical crust traits significantly influence soil detachment. In this study, to investigate the variation in soil detachment with rainfall‐induced soil physical crust, rainfall simulations with a rainfall intensity of 1.5 mm m in −1 and rainfall durations of 0 ( CK ), 5 ( R5 ), 10 ( R10 ), 15 ( R15 ), 20 ( R20 ), and 30 min ( R30 ) were conducted in runoff plots (2 m × 1 m) to form soil crust. Crust and noncrust soil samples were collected and subjected to a hydraulic flume (4 m × 0.2 m) to determine the soil detachment capacity ( D c ). Soil crust traits such as bulk density ( BD ), clay content ( C ), crust thickness ( CT ), macroaggregate content ( MA ), soil cohesion ( Coh ), and soil penetration resistance ( PR ) were measured, and soil erosion resistance ( Kr , rill erodibility, and τ c , critical shear stress) was calculated. BD and C exhibited minimal variation, whereas CT , MA , Coh , and PR demonstrated moderate temporal variability across varying rainfall durations. In contrast to the absence of rain, the D c decreased by 50% for R5 , 58% for R10 , 67% for R15 , 71% for R20 , and 83% for R30 , the K r decreased by 43%–764%, and τ c decreased by 18%–36%. D c exhibited a power function relationship with the hydraulic parameters, with the stream power being the most suitable for capturing the variations in D c . The path analysis indicated that PR and CT were the primary factors directly influencing D c , with standardized path coefficients of −0.38 and −0.48. The variability in D c can be satisfactorily predicted using a triple exponential power function involving the stream power, PR , and CT . This study revealed that variability in soil crust traits significantly influences soil detachment and offers a framework for predicting and managing soil erosion in areas susceptible to soil loss.

Land Degradation and Development
Xinyang Normal University (CN), Institute of Soil and Water Conservation (CN)
Life in Land
Openalex Percentile: Top 82%
Biocrusts and Microbial Ecology
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