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Spatiotemporal Dynamic Monitoring of Desertification in Ordos Section of Yellow River Basin

Author

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  • Guohua Qu

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohoot 010011, China)

  • Weiwei Hao

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohoot 010011, China)

  • Xiaoguang Wu

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohoot 010011, China
    Inner Mongolia Autonomous Region Land and Space Planning Institute, Hohoot 010010, China)

  • Yan Sheng

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohoot 010011, China)

  • Pengfei Huang

    (College of Geography Science, Inner Mongolia Normal University, Hohoot 010022, China)

  • Xi Yang

    (Inner Mongolia Autonomous Region Land and Space Planning Institute, Hohoot 010010, China)

  • Fang Li

    (Inner Mongolia Autonomous Region Land and Space Planning Institute, Hohoot 010010, China)

Abstract

The Ordos section of the Yellow River Basin represents a typical semi-arid zone in northern China. Due to dual pressures from natural drivers and human activities, this region is at the forefront of desertification. Therefore, rapidly and accurately identifying desertification and analyzing its evolutionary trends plays a vital role in desertification control. Using six-phase Landsat imagery (2000–2023) of Ordos City, this study extracted NDVI and Albedo to construct a fitting model, thereby analyzing desertification severity, spatial distribution patterns, and evolutionary dynamics. Through integrated analysis trends in meteorological and anthropogenic data, key driving factors of desertification processes were further investigated. Conclusions: (1) By 2023, the area of extremely severe and severe desertification reduction accounted for 12.67% of the total study area, the proportion of no desertification area increased by 11.27%, and the expansion of desertification was effectively curbed. (2) Desertification intensification cluster near residential zones and grazing lands, while improved areas concentrate in the western and southern of Mu Us Sandy Land vicinity. (3) Spatial autocorrelation analysis revealed statistically significant clustering patterns across the study area, predominantly characterized by distinct low–low and high–high aggregations. (4) Wind speed, temperature, and pastoral activities were major factors contributing to desertification. These research findings provided references for the ecological restoration and sustainable development of semi-arid areas in the Yellow River Basin.

Suggested Citation

  • Guohua Qu & Weiwei Hao & Xiaoguang Wu & Yan Sheng & Pengfei Huang & Xi Yang & Fang Li, 2025. "Spatiotemporal Dynamic Monitoring of Desertification in Ordos Section of Yellow River Basin," Sustainability, MDPI, vol. 17(17), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7594-:d:1730564
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    References listed on IDEAS

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    1. Junliang Han & Liusheng Han & Guangwei Sun & Haoxiang Mu & Zhiyi Zhang & Xiangyu Wang & Shengshuai Wang, 2023. "Optimal Scale Selection and an Object-Oriented Method Used for Measuring and Monitoring the Extent of Land Desertification," Sustainability, MDPI, vol. 15(7), pages 1-20, March.
    2. Xue Xu & Luyao Liu & Peng Han & Xiaoqian Gong & Qing Zhang, 2022. "Accuracy of Vegetation Indices in Assessing Different Grades of Grassland Desertification from UAV," IJERPH, MDPI, vol. 19(24), pages 1-15, December.
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