Quantifying soil wind erosion attribution in Inner Mongolia’s desert grassland

Wind erosion is a major ecological challenge in the Inner Mongolia desert grassland, directly impacting regional ecological stability and sustainable development. To gain a deeper understanding of the wind erosion process and its key driving factors, this study carefully assembled 21 indicators and quantified each factor's relative contribution to wind erosion using <sup>137</sup>Cs tracing technology and geographic detectors. Data collection methods included the acquisition of soil samples, meteorological data, and vegetation cover information through remote sensing technology, along with field measurements taken at several sampling points within the study area. Data analysis was conducted using geographic detectors, which spatially identified the key factors influencing wind erosion and quantitatively assessed their contributions. Additionally, the spatial distribution of risk zones was accurately identified, analyzing wind erosion intensity and distribution patterns across different regions. The results showed that soil organic matter (SOM), vegetation height (VH), average annual precipitation (PPT), average annual temperature (AAT), and potential evaporation (PE) were the primary contributors to wind erosion, with their explanatory powers for the wind erosion modulus being 0.60, 0.51, 0.51, 0.48, and 0.44, respectively. This study provides important theoretical support for regional wind erosion control and proposes targeted management strategies to improve management efficiency and promote ecological protection and sustainable development.

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Publication Details

Journal
Scientific Reports
Published
2025-04-24
DOI
https://doi.org/10.1038/s41598-025-98339-8
Citations
2
Primary Topic
Aeolian processes and effects
Type
article
Field-Weighted Citation Impact
3.34
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article

Quantifying soil wind erosion attribution in Inner Mongolia’s desert grassland

Chang An, Qiankun Guo, Wenbang Gao, Baoyuan Liu et al.
2 citations
Scientific Reports
Aeolian processes and effects
3.34
article

Quantifying soil wind erosion attribution in Inner Mongolia’s desert grassland

Chang An, Qiankun Guo, Wenbang Gao, Baoyuan Liu, Hongtao Jiang
article en
2 citations

Abstract

Wind erosion is a major ecological challenge in the Inner Mongolia desert grassland, directly impacting regional ecological stability and sustainable development. To gain a deeper understanding of the wind erosion process and its key driving factors, this study carefully assembled 21 indicators and quantified each factor's relative contribution to wind erosion using <sup>137</sup>Cs tracing technology and geographic detectors. Data collection methods included the acquisition of soil samples, meteorological data, and vegetation cover information through remote sensing technology, along with field measurements taken at several sampling points within the study area. Data analysis was conducted using geographic detectors, which spatially identified the key factors influencing wind erosion and quantitatively assessed their contributions. Additionally, the spatial distribution of risk zones was accurately identified, analyzing wind erosion intensity and distribution patterns across different regions. The results showed that soil organic matter (SOM), vegetation height (VH), average annual precipitation (PPT), average annual temperature (AAT), and potential evaporation (PE) were the primary contributors to wind erosion, with their explanatory powers for the wind erosion modulus being 0.60, 0.51, 0.51, 0.48, and 0.44, respectively. This study provides important theoretical support for regional wind erosion control and proposes targeted management strategies to improve management efficiency and promote ecological protection and sustainable development.

Scientific ReportsVol. 15(1)
Inner Mongolia Normal University (CN), China Institute of Water Resources and Hydropower Research (CN), Inner Mongolia Autonomous Region Meteorological Bureau (CN)
Climate action
Openalex Percentile: Top 10%
Aeolian processes and effects
3.34
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