Response of Soil Detachment Capacity to Land Use Change Mediated by Ecological Engineering in Southwest China

ABSTRACT After two decades of afforestation implementation in purple soil areas, land use has transformed, subsequently altering the erosional environment. The inherent complexity and uncertainty associated with soil properties and plant root characteristics within root–soil systems across different land uses hinder a deep understanding of soil detachment capacity ( D c ) changes and their driving factors. Therefore, this study systematically investigated the interrelationships between root traits and soil properties to quantifying land use effects on D c in purple soil areas and identify key influencing factors. Soil samples from croplands, orchards and woodlands were subjected to scouring experiments in a 4 × 0.35 m hydraulic flume under six shear stresses (ranging from 3.79 to 16.24 Pa). The results showed significant variations in mean D c across land uses with croplands exhibiting the highest erosion susceptibility (2.64 kg m −2 s −1 ), followed by orchards (1.39 kg m −2 s −1 ) and woodlands demonstrating the lowest detachment rates (0.06 kg m −2 s −1 ). The observed D c variability was attributed to differential interactions between hydraulic conditions, soil properties and plant root traits across land uses. Among hydraulic parameters, the stream power ( w ) emerged as the most effective predictor for D c estimation. Path analysis indicated that soil organic matter (SOM) and root mass density (RMD) were the primary determinants influencing D c variations. A predictive model was subsequently established incorporating w , SOM and RMD as independent variables, demonstrating high accuracy ( R 2 = 0.92, NSE = 0.91). These provide valuable insights into soil detachment mechanisms under different land uses and offer theoretical support for optimising conservation strategies in the ‘Grain for Green’ program.

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Publication Details

Journal
European Journal of Soil Science
Published
2025-05-01
DOI
https://doi.org/10.1111/ejss.70145
Citations
1
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
1.19

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article

Response of Soil Detachment Capacity to Land Use Change Mediated by Ecological Engineering in Southwest China

Qian Jiang, Zicheng Zheng, Longlong An, Shuqin He et al.
1 citations
European Journal of Soil Science
Soil erosion and sediment transport
1.19
article

Response of Soil Detachment Capacity to Land Use Change Mediated by Ecological Engineering in Southwest China

Qian Jiang, Zicheng Zheng, Longlong An, Shuqin He, Nana Wang, Zhenkun Wang
article en
1 citations

Abstract

ABSTRACT After two decades of afforestation implementation in purple soil areas, land use has transformed, subsequently altering the erosional environment. The inherent complexity and uncertainty associated with soil properties and plant root characteristics within root–soil systems across different land uses hinder a deep understanding of soil detachment capacity ( D c ) changes and their driving factors. Therefore, this study systematically investigated the interrelationships between root traits and soil properties to quantifying land use effects on D c in purple soil areas and identify key influencing factors. Soil samples from croplands, orchards and woodlands were subjected to scouring experiments in a 4 × 0.35 m hydraulic flume under six shear stresses (ranging from 3.79 to 16.24 Pa). The results showed significant variations in mean D c across land uses with croplands exhibiting the highest erosion susceptibility (2.64 kg m −2 s −1 ), followed by orchards (1.39 kg m −2 s −1 ) and woodlands demonstrating the lowest detachment rates (0.06 kg m −2 s −1 ). The observed D c variability was attributed to differential interactions between hydraulic conditions, soil properties and plant root traits across land uses. Among hydraulic parameters, the stream power ( w ) emerged as the most effective predictor for D c estimation. Path analysis indicated that soil organic matter (SOM) and root mass density (RMD) were the primary determinants influencing D c variations. A predictive model was subsequently established incorporating w , SOM and RMD as independent variables, demonstrating high accuracy ( R 2 = 0.92, NSE = 0.91). These provide valuable insights into soil detachment mechanisms under different land uses and offer theoretical support for optimising conservation strategies in the ‘Grain for Green’ program.

European Journal of Soil ScienceVol. 76(3)
Sichuan Agricultural University (CN)
National Natural Science Foundation of China, Key Research and Development Program of Sichuan Province
Openalex Percentile: Top 20%
Soil erosion and sediment transport
1.19
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