Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou, 510070, People's Republic of China.
Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangzhou, 510070, People's Republic of China.
Environ Sci Pollut Res Int. 2021 Mar;28(12):14720-14738. doi: 10.1007/s11356-020-11703-1. Epub 2020 Nov 20.
Soil erosion threatens environmental sustainability worldwide. Exploring the trajectories of soil erosion and associated drivers is of great significance for combating land degradation. This study selected the highly eroded Loess Plateau (LP) and Karst Plateau (KP) as contrasting regions to monitor soil erosion dynamics. Monitoring was performed by applying the Revised Universal Soil Loss Equation based on a GIS platform and multi-source input data to investigate associated drivers. The results established that soil erosion in both regions was substantially reduced by ecological restoration projects and significant land use/cover conversions. Landscape and geomorphological variables were found to be the dominant factors controlling soil erosion in the LP and KP, as they influenced land use patches and geomorphological patterns, respectively. The correlations between fragmentation metric indices and soil erosion indicated that the appropriately intensive fragmentation in the LP could mitigate or prevent soil erosion by disturbing its formation and transportation and ultimately positively influenced soil erosion control. Geomorphological patterns were also determinative factors, particularly for the KP, where almost all geomorphological variables were significantly correlated with the erosion modulus. Owing to the peculiar landform and landscape conditions in karst areas and loess hilly-gully areas, geomorphological and landscape variables should be considered when determining the main factors affecting soil erosion processes and integrated into the forecasting model to improve the accuracy of the simulation. The findings of this study are expected to (i) improve the efficacy of soil erosion control and (ii) promote the sustainable planning and management of land and soil resources.
土壤侵蚀威胁着全球环境的可持续性。探索土壤侵蚀的轨迹及其相关驱动因素对于防治土地退化具有重要意义。本研究选择水土流失严重的黄土高原(LP)和喀斯特高原(KP)作为对比区域,监测土壤侵蚀动态。监测是通过应用基于 GIS 平台和多源输入数据的修正通用土壤流失方程(Revised Universal Soil Loss Equation)进行的,以研究相关驱动因素。研究结果表明,生态恢复项目和重大土地利用/覆盖变化大大减少了两个地区的土壤侵蚀。景观和地貌变量被发现是控制 LP 和 KP 土壤侵蚀的主要因素,因为它们分别影响土地利用斑块和地貌格局。分形指标与土壤侵蚀之间的相关性表明,LP 中适当的强烈分形可以通过干扰其形成和运输来减轻或防止土壤侵蚀,并最终对土壤侵蚀控制产生积极影响。地貌格局也是决定性因素,特别是对于 KP,几乎所有地貌变量都与侵蚀模数显著相关。由于喀斯特地区和黄土丘陵沟壑区特殊的地形和景观条件,在确定影响土壤侵蚀过程的主要因素时应考虑地貌和景观变量,并将其纳入预测模型,以提高模拟的准确性。本研究的结果有望(i)提高土壤侵蚀控制的效果,(ii)促进土地和土壤资源的可持续规划和管理。