文献类型：期刊文献

英文题名：Spatiotemporal Dynamics and Driving Factors of Soil Wind Erosion in Inner Mongolia, China

作者：Mei, Yong[1] Batunacun, Chunxing[1] Hai, Chunxing[1] Chang, An[1] Chang, Yueming[1] Wang, Yaxin[2,3] Hu, Yunfeng[4]

第一作者：Mei, Yong

通信作者：Batunacun[1]

机构：[1]Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010028, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]NFGA, Key Lab Forestry Remote Sensing & Informat Syst, Beijing 100091, Peoples R China;[4]Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China

年份：2025

卷号：17

期号：14

外文期刊名：REMOTE SENSING

收录：;EI(收录号：20253118870092);Scopus(收录号：2-s2.0-105011745970);WOS:【SCI-EXPANDED(收录号:WOS:001536772700001)】；

基金：This research was funded by the following bodies: First-Class Discipline Scientific Research Special Project, grant number YLXKZX-NSD-028; the National Natural Science Foundation of China-Regional Fund, grant number Grant No.42261048; the National Natural Science Foundation of China-Youth Fund, grant number 42301362; the Natural Science Foundation of the Inner Mongolia Autonomous Region, China, grant number 2022QN04002; the 2023 Young Scientific and Technological Talent Development Program (Young Scientific Talent), grant number NJYT23017; a project supported by the Research Start-Up Fund for Introducing High-Level Talents, Inner Mongolia Normal University, grant number 2021JYRC004; a project supported by the Special Fund for Fundamental Research Business Expenses of the Inner Mongolia Normal University, grant number 2022JBQN098; and the 2023 Ministry of Human Resources and Social Security's Talent Sponsorship Program for Studying Abroad (no grant number).

语种：英文

外文关键词：soil wind erosion modulus; RWEQ model; erosion modelling; GeoDetector; gale days; Inner Mongolia

摘要：Wind erosion poses a major threat to ecosystem stability and land productivity in arid and semi-arid regions. Accurate identification of its spatiotemporal dynamics and underlying driving mechanisms is a critical prerequisite for effective risk forecasting and targeted erosion control. This study applied the Revised Wind Erosion Equation (RWEQ) model to assess the spatial distribution, interannual variation, and seasonal dynamics of the Soil Wind Erosion Modulus (SWEM) across Inner Mongolia from 1990 to 2022. The GeoDetector model was further employed to quantify dominant drivers, key interactions, and high-risk zones via factor, interaction, and risk detection. The results showed that the average SWEM across the study period was 35.65 tha(-1)yr(-1) and showed a decreasing trend over time. However, localised increases were observed in the Horqin and Hulun Buir sandy lands and central grasslands. Wind erosion was most intense in spring (17.64 tha(-1)yr(-1)) and weakest in summer (5.57 tha(-1)yr(-1)). Gale days, NDVI, precipitation, and wind speed were identified as dominant drivers. Interaction detection revealed non-linear synergies between gale days and temperature (q = 0.40) and wind speed and temperature (q = 0.36), alongside a two-factor interaction between NDVI and precipitation (q = 0.19). Risk detection indicated that areas with gale days > 58, wind speed > 3.01 m/s, NDVI < 0.2, precipitation of 30.17-135.59 mm, and temperatures of 3.01-4.23 degrees C are highly erosion-prone. Management should prioritise these sensitive and intensifying areas by implementing site-specific strategies to enhance ecosystem resilience.