Journal
CATENA
Volume 206, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.catena.2021.105500
Keywords
NDVI; Driving factors; Moran's index; Geographical detector; Google Earth Engine (GEE); Gannan Prefecture
Funding
- National Key Research and Development Program of China [2018YFC0406602]
- National Natural Science Foundation of China [41471450, 31170430]
- earmarked fund for China Agriculture Research System [CARS-34]
- Fundamental Research Fund for the Central Universities [lzujbky-2021]
- Key Special Foundation/Project of Science and Technology Department of Qinghai Province [2021-SF]
- Open project of Qinghai Province Cold Region Restoration Ecology Key Laboratory of Northwest Plateau Biology Institute, Chinese Academy of Sciences [2020-KF-09]
- 2021 first funds for central government to guide local science and technology development in Qinghai Province [2021ZY002]
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Research using the Google Earth Engine analyzed the spatiotemporal vegetation variation in Gannan Prefecture on the Tibetan Plateau, showing fluctuating growth trends in vegetation index, driven primarily by annual mean temperature, soil type, and elevation.
Vegetation is essential in maintaining terrestrial ecosystem functions, and understanding why and how vegetation evolves is necessary for regional ecological management. On the Tibetan Plateau, the effects of various factors and their interactions in directing vegetation change remain unclear. Supported by the Google Earth Engine (GEE) platform, we quantified spatiotemporal vegetation variation in Gannan Prefecture on the north-eastern Tibetan Plateau for 2000-2018 using trend analysis and spatial autocorrelation and explored its driving factors with a geographic detector method. The normalized difference vegetation index (NDVI) illustrated fluctuating growth from 2000 to 2018, and the overall growth rate was 0.002/year. The spatial distributions of NDVI were variable, and areas with NDVI greater than 0.8 accounted for more than 69% of Gannan Prefecture area. From 2000 to 2018, the global Moran's index of vegetation NDVI was greater than 0.52 and showed a fluctuating upward trend, indicating that the vegetation NDVI tended to be distributed with a high spatial concentration. The local Moran's index of NDVI was mainly characterized by High-High and Low-Low clustering types, and the former increased significantly, but the latter decreased. The annual mean temperature, soil type, and elevation were the dominant factors driving vegetation NDVI change in Gannan Prefecture, explaining more than 15% of the variability. Furthermore, the influence of the interaction between any two factors on NDVI was an almost nonlinear enhancement. These results could help us improve our understanding of the underlying mechanism of NDVI changes and provide a scientific basis for ecological protection in alpine regions.
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