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<p>Vegetation coverage regulates carbon cycling, conserves soil and water, and stabilizes ecosystems. The Xigaze section of the Yarlung Zangbo River (YZR) basin is a critical riparian zone affecting suspended sediment supply, channel migration, and sandstorm intensity. However, studies on its spatiotemporal dynamics and driving factors remain limited, largely due to reliance on low-resolution data. In this study, fractional vegetation cover (FVC) within a 5 km riparian buffer was reconstructed using Landsat8 imagery (2015–2024) and Sentinel 2 imagery (2019–2024) based on the pixel dichotomy model. Trends were quantified with Theil-Sen slope statistics and the Mann-Kendall test. Land use and cover change (LUCC) was mapped by random forest classifier, and meteorological data from 14 stations were used to evaluate climatic drivers. The results reveal a general FVC decline, with a shift during 2019–2020. LUCC (<i>q</i> = 0.704) was the dominant driver of vegetation variation, followed by temperature (<i>q</i> = 0.061). Elevation and slopes influence vegetation mainly through interactions with other variables. In the Rizi section, sparse vegetation and intense aeolian activity suggest an urgent need for wind-erosion control. In Lhaze and Xigaze, mixed forest-grass systems are recommended to improve resilience. Additionally, ongoing monitoring of the risk of riverbank collapse under hydrological-aeolian processes is also warranted.</p>

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Spatiotemporal variation and driving factors of vegetation coverage in Xigaze section of Yarlung Zangbo River

  • 期刊论文

  • 发表日期：

    2026年4月1日

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  • Siqi Wang,
  • Zhengcai Zhang,
  • Caisheng Shen,
  • Lanying Han,
  • Zhaxi Jiancan,
  • Zhen La,
  • Lingguang Zhang,
  • Zhenyu Zhang

摘要

Vegetation coverage regulates carbon cycling, conserves soil and water, and stabilizes ecosystems. The Xigaze section of the Yarlung Zangbo River (YZR) basin is a critical riparian zone affecting suspended sediment supply, channel migration, and sandstorm intensity. However, studies on its spatiotemporal dynamics and driving factors remain limited, largely due to reliance on low-resolution data. In this study, fractional vegetation cover (FVC) within a 5 km riparian buffer was reconstructed using Landsat8 imagery (2015–2024) and Sentinel 2 imagery (2019–2024) based on the pixel dichotomy model. Trends were quantified with Theil-Sen slope statistics and the Mann-Kendall test. Land use and cover change (LUCC) was mapped by random forest classifier, and meteorological data from 14 stations were used to evaluate climatic drivers. The results reveal a general FVC decline, with a shift during 2019–2020. LUCC (q = 0.704) was the dominant driver of vegetation variation, followed by temperature (q = 0.061). Elevation and slopes influence vegetation mainly through interactions with other variables. In the Rizi section, sparse vegetation and intense aeolian activity suggest an urgent need for wind-erosion control. In Lhaze and Xigaze, mixed forest-grass systems are recommended to improve resilience. Additionally, ongoing monitoring of the risk of riverbank collapse under hydrological-aeolian processes is also warranted.