{"title":"西南土壤剥离能力对生态工程介导的土地利用变化的响应","authors":"Qian Jiang, Zicheng Zheng, Shuqin He, Zhenkun Wang, Nana Wang, Longlong An","doi":"10.1111/ejss.70145","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>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 (<i>D</i><sub>c</sub>) changes and their driving factors. Therefore, this study systematically investigated the interrelationships between root traits and soil properties to quantifying land use effects on <i>D</i><sub>c</sub> 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 <i>D</i><sub>c</sub> across land uses with croplands exhibiting the highest erosion susceptibility (2.64 kg m<sup>−2</sup> s<sup>−1</sup>), followed by orchards (1.39 kg m<sup>−2</sup> s<sup>−1</sup>) and woodlands demonstrating the lowest detachment rates (0.06 kg m<sup>−2</sup> s<sup>−1</sup>). The observed <i>D</i><sub>c</sub> variability was attributed to differential interactions between hydraulic conditions, soil properties and plant root traits across land uses. Among hydraulic parameters, the stream power (<i>w</i>) emerged as the most effective predictor for <i>D</i><sub>c</sub> estimation. Path analysis indicated that soil organic matter (SOM) and root mass density (RMD) were the primary determinants influencing <i>D</i><sub>c</sub> variations. A predictive model was subsequently established incorporating <i>w</i>, SOM and RMD as independent variables, demonstrating high accuracy (<i>R</i><sup>2</sup> = 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.</p>\n </div>","PeriodicalId":12043,"journal":{"name":"European Journal of Soil Science","volume":"76 3","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Response of Soil Detachment Capacity to Land Use Change Mediated by Ecological Engineering in Southwest China\",\"authors\":\"Qian Jiang, Zicheng Zheng, Shuqin He, Zhenkun Wang, Nana Wang, Longlong An\",\"doi\":\"10.1111/ejss.70145\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>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 (<i>D</i><sub>c</sub>) changes and their driving factors. Therefore, this study systematically investigated the interrelationships between root traits and soil properties to quantifying land use effects on <i>D</i><sub>c</sub> 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 <i>D</i><sub>c</sub> across land uses with croplands exhibiting the highest erosion susceptibility (2.64 kg m<sup>−2</sup> s<sup>−1</sup>), followed by orchards (1.39 kg m<sup>−2</sup> s<sup>−1</sup>) and woodlands demonstrating the lowest detachment rates (0.06 kg m<sup>−2</sup> s<sup>−1</sup>). The observed <i>D</i><sub>c</sub> variability was attributed to differential interactions between hydraulic conditions, soil properties and plant root traits across land uses. Among hydraulic parameters, the stream power (<i>w</i>) emerged as the most effective predictor for <i>D</i><sub>c</sub> estimation. Path analysis indicated that soil organic matter (SOM) and root mass density (RMD) were the primary determinants influencing <i>D</i><sub>c</sub> variations. A predictive model was subsequently established incorporating <i>w</i>, SOM and RMD as independent variables, demonstrating high accuracy (<i>R</i><sup>2</sup> = 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.</p>\\n </div>\",\"PeriodicalId\":12043,\"journal\":{\"name\":\"European Journal of Soil Science\",\"volume\":\"76 3\",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Soil Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ejss.70145\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOIL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Soil Science","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ejss.70145","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 0
摘要
紫土地区经过20年的植树造林,土地利用方式发生了转变,侵蚀环境也随之改变。不同土地利用方式的根-土壤系统中土壤性质和植物根系特征的内在复杂性和不确定性阻碍了对土壤剥离能力变化及其驱动因素的深入理解。因此,本研究通过系统研究根系性状与土壤性质之间的相互关系,量化紫色土区土地利用对直流电的影响,找出关键影响因素。在一个4 × 0.35 m的水力水槽中,对农田、果园和林地的土壤样品进行了6种剪切应力(3.79 ~ 16.24 Pa)的冲刷试验。结果表明,不同土地利用方式的平均Dc差异显著,耕地表现出最高的侵蚀敏感性(2.64 kg m−2 s−1),其次是果园(1.39 kg m−2 s−1),林地表现出最低的剥离率(0.06 kg m−2 s−1)。观测到的Dc变异归因于不同土地利用方式下水力条件、土壤性质和植物根系性状之间的差异相互作用。在水力参数中,水流功率(w)是估计直流最有效的预测因子。通径分析表明,土壤有机质(SOM)和根系质量密度(RMD)是影响Dc变化的主要因素。随后建立了以w、SOM和RMD为自变量的预测模型,具有较高的准确率(R2 = 0.92, NSE = 0.91)。这为研究不同土地利用方式下的土壤剥离机制提供了有价值的见解,并为优化“退耕还林”项目的保护策略提供了理论支持。
Response of Soil Detachment Capacity to Land Use Change Mediated by Ecological Engineering in Southwest China
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 (Dc) changes and their driving factors. Therefore, this study systematically investigated the interrelationships between root traits and soil properties to quantifying land use effects on Dc 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 Dc 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 Dc 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 Dc estimation. Path analysis indicated that soil organic matter (SOM) and root mass density (RMD) were the primary determinants influencing Dc variations. A predictive model was subsequently established incorporating w, SOM and RMD as independent variables, demonstrating high accuracy (R2 = 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.
期刊介绍:
The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.