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

中国 环境科学 生态学 土地利用、土地利用的变化和林业 土地利用 自然地理学 土壤科学 农林复合经营 地理 生物 考古
作者
Qian Jiang,Zicheng Zheng,Shuqin He,Zhenkun Wang,Nana Wang,Longlong An
出处
期刊:European Journal of Soil Science [Wiley]
卷期号:76 (3)
标识
DOI:10.1111/ejss.70145
摘要

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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