Spatiotemporal Evolution and Driving Factors of Desertification Sensitivity During Urbanization: A Case Study of the Beijing–Tianjin–Hebei Core Region DOI Creative Commons

D. Yu X. Xu,

H. W. Wu, Qiang Yao

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 858 - 858

Опубликована: Апрель 14, 2025

Desertification sensitivity in semi-arid urbanizing regions remains a critical challenge for sustainable land management. This study analyzes the spatiotemporal dynamics (2018–2022) of desertification Beijing–Tianjin–Hebei core region using Normalized Difference Vegetation Index (NDVI), soil texture, Digital Elevation Model (DEM), and nighttime light data. Using GIS-based model, we found decline overall sensitivity, with vegetation degradation (post-2020) emerging as key factor. Key recommendations include optimizing urban spatial patterns via ecological red lines, prioritizing restoration high-sensitivity zones, establishing dynamic remote sensing-based monitoring systems. These strategies aim to coordinate growth resilience, offering actionable pathways facing similar pressures. Future work should integrate socioeconomic drivers refine adaptive governance frameworks.

Язык: Английский

Spatiotemporal Evolution and Driving Factors of Desertification Sensitivity During Urbanization: A Case Study of the Beijing–Tianjin–Hebei Core Region DOI Creative Commons

D. Yu X. Xu,

H. W. Wu, Qiang Yao

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 858 - 858

Опубликована: Апрель 14, 2025

Desertification sensitivity in semi-arid urbanizing regions remains a critical challenge for sustainable land management. This study analyzes the spatiotemporal dynamics (2018–2022) of desertification Beijing–Tianjin–Hebei core region using Normalized Difference Vegetation Index (NDVI), soil texture, Digital Elevation Model (DEM), and nighttime light data. Using GIS-based model, we found decline overall sensitivity, with vegetation degradation (post-2020) emerging as key factor. Key recommendations include optimizing urban spatial patterns via ecological red lines, prioritizing restoration high-sensitivity zones, establishing dynamic remote sensing-based monitoring systems. These strategies aim to coordinate growth resilience, offering actionable pathways facing similar pressures. Future work should integrate socioeconomic drivers refine adaptive governance frameworks.

Язык: Английский

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