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

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.

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Publication Details

Journal
Sustainability
Published
2025-08-22
DOI
https://doi.org/10.3390/su17177594
Citations
1
Primary Topic
Forest, Soil, and Plant Ecology in China
Type
article
Field-Weighted Citation Impact
8.93
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article

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

Xiaoguang Wu, Sheng Yan, Wei Min Hao, Guohua Qu et al.
1 citations
Sustainability
Forest, Soil, and Plant Ecology in China
8.93
article

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

Xiaoguang Wu, Sheng Yan, Wei Min Hao, Guohua Qu, Xi Yang, Pengfei Huang, Li Fang
article en
1 citations

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.

SustainabilityVol. 17(17)
Inner Mongolia Agricultural University (CN), Inner Mongolia Normal University (CN), Inner Mongolia Autonomous Region Meteorological Bureau (CN), Inner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 3%
Forest, Soil, and Plant Ecology in China
8.93
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