Soil Conservation Assessment by SWAT With Improved Sediment Module and Driving Mechanism Analysis of Its Changes

A Case Study of the Jinghe River Basin, China

Bibliographic Data

ID21648415
AuthorsJizhou Bai (0000-0003-0635-1752, School of Geography and Tourism, Shaanxi Normal University Xi'an China), Zixiang Zhou (0009-0002-4643-7331, College of Geomatics, Xi'an University of Science and Technology Xi'an China), Jing Li (0000-0001-7792-4322, School of Geography and Tourism, Shaanxi Normal University Xi'an China, corresponding author), Zhixiong Tang (0000-0003-4070-9471, Huanjiang Observation and Research Station for Karst Ecosystem, Key Laboratory for Agro‐Ecological Processes in Subtropical Region Institute of Subtropical Agriculture, Chinese Academy of Sciences Changsha China), Ya Zhang (0000-0002-9717-911X, School of Geography and Tourism, Shaanxi Normal University Xi'an China), Chuhan Wang (0000-0001-8528-3799, School of Geography and Tourism, Shaanxi Normal University Xi'an China), Yijie Sun (0000-0002-1388-9764, School of Modern Post, Xi'an University of Posts and Telecommunications Xi'an China)
Year2025
Volume36
Issue13
Pages4588-4604
Publication date2025-08-15
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.5654
OpenAlexW4410480382
LanguageEN
References cited38

Globally, the importance of soil conservation (SC) has been increasingly recognized, with a growing demand for the use of more accurate soil erosion models to assess soil conservation and investigate its driving mechanisms. This is essential to meet the requirements of land management and ecological restoration. This study developed a framework for calibrating the sediment module K, C, and P factors of the SWAT model using soil sampling data and remote sensing measurements. Taking the Jinghe River Basin as an example, the optimized model was utilized to assess the spatiotemporal characteristics of soil conservation. Furthermore, this study examined the driving mechanisms of changes in soil conservation by analyzing the relationship between potential and actual soil erosion. The findings demonstrate that calibrating the model using measured data significantly enhances its applicability. Under the combined influence of climate change and human activities, potential soil erosion markedly increased from 2000 to 2020, whereas actual erosion generally decreased, resulting in an overall increase in soil conservation. The changes in soil conservation were primarily driven by climate change‐dominated increase (CCI) and ecological restoration‐dominated increase (ERI). This study is significant for improving soil erosion mechanism models, understanding the regional baseline of soil conservation, and clarifying the driving mechanisms of soil conservation changes. It offers new insights and technical support for soil erosion research and regional management

Agriculture · Archaeology · Cartography · China · Drainage basin · Geography · Geomorphology · Geotechnical engineering · Physics · Sediment · Soil conservation · Structural basin · SWAT model · Environmental Science · Hydrology and Sediment Transport Processes · Hydrology and Watershed Management Studies · Soil erosion and sediment transport · Geology

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