中国水土保持科学2025，Vol.23Issue(6)：42-53,12.DOI:10.16843/j.sswc.2025035
基于RUSLE模型与多源数据的耕地土壤侵蚀时空演变评估
Spatiotemporal dynamics of cultivated land soil erosion in dry-hot valley ecosystems:An integrated assessment using RUSLE model and multi-source data
摘要
Abstract
[Background]The"National Key Soil Erosion Control Area in the Lower Reaches of Jinsha River"represents a critical ecological functional zone in China.Investigating the spatiotemporal evolution of soil erosion and its driving mechanisms under the unique and fragile dry-hot valley environment is essential for ensuring both agricultural production and ecological sustainability.However,quantitative evidence on cropland erosion in this region remains limited,particularly regarding the extent to which topography and vegetation jointly regulate erosion processes.This study therefore aims to fill this knowledge gap by providing an integrated assessment of cropland erosion patterns in the Yuanmou dry-hot valley.[Methods]This study focused on the Yuanmou dry-hot valley,employing satellite remote sensing imagery with 30m resolution combined with standard runoff plot monitoring data to calibrate and validate a Revised Universal Soil Loss Equation(RUSLE)model.The model was then applied to assess regional soil erosion intensity and cropland erosion status.Statistical regression analysis was employed to investigate the spatiotemporal patterns of soil erosion from 2018 to 2022,while simultaneously integrating the spatiotemporal variations of cropland erosion to identify the spatiotemporal distribution characteristics.[Results]1)The RUSLE model constructed with multi-source remote sensing data demonstrated strong predictive capability(R2=0.871)compared with field measurements.From 2018 to 2022,the total soil erosion area ranged between 863.09-950.91 km2 with erosion intensity varying from 2 601.47 to 3 369.47 t/(km2·a).Specifically for cropland,erosion areas and intensities fluctuated between 19.93-29.03 km2 and 338.45-630.83 t/(km2·a)respectively,peaking in 2018 and reaching the minimum by 2022.2)Spatial analysis revealed concentrated erosion hotspots in central,south-central,and northern parts of the study area.High erosion occurred on steep hillside slopes,while low-erosion areas were located in low-lying valley bottoms,highlighting the strong influence of topography on erosion spatial patterns in this dry-hot valley landscape.Furthermore,spatial autocorrelation analysis confirmed that cropland erosion exhibited a significant clustering effect.Low-erosion croplands were mainly concentrated in valley plains,whereas high-erosion croplands were scattered across valley-mountain transition zones,underscoring the close relationship between erosion intensity and topographic setting.3)Regression analysis indicated that slope gradient was the dominant driver of cropland erosion(β=0.411),followed by vegetation coverage(β=0.204).This suggests that the combination of terrain characteristics and vegetation management jointly regulates the erosion process.[Conclusions]The results confirm that the study effectively addressed the initial goal of characterizing soil erosion in the Yuanmou dry-hot valley.The reduced contribution of tillage-induced erosion over time suggests that current conservation measures and farming practices have increasingly adapted to local soil-water conservation requirements.These findings provide scientific support for optimizing soil erosion assessment and formulating sustainable land management strategies in the Yuanmou dry-hot valley ecosystem.关键词
土壤侵蚀模数/径流小区/耕地土壤侵蚀/RUSLE/空间分析/金沙江干热河谷Key words
soil erosion modulus/runoff plots/cultivated land soil erosion/RUSLE/spatial analysis/Jinsha river dry-hot valley分类
农业科技引用本文复制引用
ZHUANG Yongzai,HE Guangxiong,XI Wenfei,GUO Junqi,CHEN Caiying,WANG Ruiting..基于RUSLE模型与多源数据的耕地土壤侵蚀时空演变评估[J].中国水土保持科学,2025,23(6):42-53,12.基金项目
云南省重大科技专项"面向云南自然资源生态环境监测及智慧治理的关键技术研究"(202202AD080010) （202202AD080010）
滇中引水工程(滇中高原区)"高分综合应用示范项目"(89-Y50-G31-9001-22/23-05) （滇中高原区）
云南省水土流失与绿色发展重点实验室"云南省水土流失防治技术研发"项目(202205AK070026-01) （202205AK070026-01）
云南省科学技术厅,云南省创新引导与科技型企业培育计划"建设元谋乡村振兴科技创新县"项目(202304BT090025-04) （202304BT090025-04）
高层次科技人才及创新团队选拔专项"云南省高原湖滨城市可持续发展研究创新团队"(202305AS350003) （202305AS350003）
