4.5 Article

Vegetation dynamics and their responses to climate factors in the Qinghai-Tibet plateau: insights from the terrestrial ecosystems

Journal

GEOCARTO INTERNATIONAL
Volume 37, Issue 27, Pages 17465-17486

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/10106049.2022.2129820

Keywords

Climate change; vegetation ecosystem; vegetation dynamic; time-lag; change cycle

Funding

  1. National Key Research and Development Program of China [2019YFC0507801]
  2. Second Tibetan Plateau Scientific Expedition and Research Program [2019QZKK1003]
  3. Strategic Priority Research Program of Chinese Academy of Sciences [XDA20040301]

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The study examined the structural changes and multi-scale cyclical variations of vegetation ecosystems in the Qinghai-Tibet Plateau from 2001 to 2018. The results showed that the annual increment of NDVI was the largest in forest ecosystems, followed by grassland and desert ecosystems. Vegetation activities exhibited steady upward trends in forest, grassland, and desert ecosystems, with only the forest ecosystem showing a clear inter-annual cycle of 2.1 years.
This study examined the structural changes of vegetation ecosystems, multi-scale cyclical variations of normalized difference vegetation index (NDVI), as well as their responses to climate factors in the QTP during 2001-2018. Results showed the annual increment of NDVI in forest ecosystem was the largest, followed by grassland, and the increment of NDVI in desert ecosystem was the smallest. Vegetation activities showed a steady upward trend in forest, grassland and desert ecosystems, a fluctuating upward trend in the wetland ecosystem, and a slow downward trend in the farmland ecosystem. The intra-annual cycles of vegetation activities in these ecosystems were between 28 and 42 days, and only the forest ecosystem had a clear inter-annual cycle of 2.1 years. The responses of NDVI to precipitation and temperature in grassland, wetland, and farmland ecosystems all had a lag time of 16 days, while those in desert and forest ecosystems were weak.

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