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• W2601812400 abstract "Snow cover dynamics are considered to play a key role on spring phenological shifts in the high-latitude, so investigating responses of spring phenology to snow cover dynamics is becoming an increasingly important way to identify and predict global ecosystem dynamics. In this study, we quantified the temporal trends and spatial variations of spring phenology and snow cover across the Tibetan Plateau by calibrating and analyzing time series of the NOAA AVHRR-derived normalized difference vegetation index (NDVI) during 1983-2012. We also examined how snow cover dynamics affect the spatio-temporal pattern of spring alpine vegetation phenology over the plateau. Our results indicated that 52.21% of the plateau experienced a significant advancing trend in the beginning of vegetation growing season (BGS) and 34.30% exhibited a delaying trend. Accordingly, the snow cover duration days (SCD) and snow cover melt date (SCM) showed similar patterns with a decreasing trend in the west and an increasing trend in the southeast, but the start date of snow cover (SCS) showed an opposite pattern. Meanwhile, the spatial patterns of the BGS, SCD, SCS and SCM varied in accordance with the gradients of temperature, precipitation and topography across the plateau. The response relationship of spring phenology to snow cover dynamics varied within different climate, terrain and alpine plant community zones, and the spatio-temporal response patterns were primarily controlled by the long-term local heat-water conditions and topographic conditions. Moreover, temperature and precipitation played a profound impact on diverse responses of spring phenology to snow cover dynamics." @default.
• W2601812400 created "2017-04-07" @default.
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• W2601812400 date "2017-09-01" @default.
• W2601812400 modified "2023-10-17" @default.
• W2601812400 title "Complex responses of spring alpine vegetation phenology to snow cover dynamics over the Tibetan Plateau, China" @default.
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• W2601812400 doi "https://doi.org/10.1016/j.scitotenv.2017.03.187" @default.
• W2601812400 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28351812" @default.
• W2601812400 hasPublicationYear "2017" @default.
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