ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Land Use Dynamics
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1551743
This article is part of the Research TopicMonitoring and Modeling of Runoff and Soil Processes in River BasinsView all 3 articles
Spatiotemporal Dynamics of Soil Erosion in the Daqing River Basin: A Comparative Analysis of Mountains and Plains
Provisionally accepted
- 1School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China
- 2School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
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Soil erosion has been significantly exacerbated by climate change and urbanization, posing serious threats to environmental protection and sustainable development. In this study, soil erosion in the Daqing River Basin from 2000 to 2022 was assessed using the revised universal soil loss equation (RUSLE) model, which incorporates data from digital elevation model (DEM), normalized vegetation index (NDVI), and land-use sources, and the spatiotemporal evolution of soil erosion was subsequently analyzed. The impacts of natural and anthropogenic factors on erosion and their interactions with soil erosion were analyzed via random forest and partial least squares-structural equation modeling (PLS-SEM). The results revealed that soil erosion in the Daqing River Basin averaged 159 t/(km²•a) from 2000 to 2022, with averages of 386 t/(km²•a) in the mountains and 1.1t/(km²•a) in the plains. The erosion intensity increased from southeast to northwest, with higher levels in mountains than in plains. The soil erosion level initially improved but then deteriorated sharply after a significant turning point in 2015. Natural factors, particularly precipitation, were the largest drivers of soil erosion throughout the Daqing River Basin, whereas anthropogenic factors had the greater impact on erosion in plains than in mountains. There was strong synergy among various anthropogenic factors throughout the basin. In the mountains, anthropogenic factors were antagonistic to vegetation coverage, whereas in the plains, they were synergistic with vegetation coverage and meteorological factors.
Keywords: Soil erosion, RUSLE model, spatiotemporal evolution, Mountain-plain comparison, PLS-SEM, Daqing River basin
Received: 26 Dec 2024; Accepted: 21 Apr 2025.
Copyright: © 2025 Wang, Ding, Wang, Liu, Han and Luan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yuanyuan Ding, School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, China
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