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Articles

Effect of climate change on vegetation phenology of different land-cover types on the Tibetan Plateau

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Pages 470-487 | Received 26 Dec 2016, Accepted 24 Sep 2017, Published online: 16 Oct 2017
 

ABSTRACT

Research in vegetation phenology change has been one heated topic of current ecological and climate change study. The Tibetan Plateau, as the highest plateau of the earth, is more vulnerable and sensitive to climate change than many other regions. In this region, shifts in vegetation phenology have been intensively studied during recent decades, primarily based on satellite-retrieved data. In this study, we explored the spatiotemporal changes of vegetation phenology for different land-cover types in the Tibetan Plateau and characterized their relationship with temperature and precipitation by using long-term time-series datasets of normalized difference vegetation index (NDVI) from 1982 to 2014. Diverse phenological changes were observed for different land-cover types, with an advancing start of growing season (SOS), delaying end of growing season (EOS) and increasing length of growing season (LOS) in the eastern Tibetan Plateau where meadow was the dominant vegetation type, but with the opposite changes in the steppe and sparse herbaceous or sparse shrub regions which are mostly located in the northwestern and western edges of the Tibetan Plateau. Correlation analysis indicated that sufficient preseason precipitation may delay the SOS of evergreen forests in the southeastern Plateau and advance the SOS of steppe and sparse herbaceous or sparse shrub in relatively arid areas, while the advance of SOS in meadow areas could be related to higher preseason temperature. For EOS, because it is less sensitive to climate change than SOS, the response of EOS for different land-cover types to precipitation and temperature were more complicated across the Tibetan Plateau.

Acknowledgements

This study was financially supported by the National Key Research and Development Program of the Ministry of Science and Technology of China (No. 2016YFD0600204), the National Natural Science Foundation of China (No. 3153007 & 41601442 & 51709179); the Jiangsu Provincial Natural Science Foundation of China (No. BK20150579), and the Sanxin Forestry Project in Jiangsu Province (No. LYSX[2016]46) and the fundamental research project of MOST (2005DKA32306).

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Key Research and Development Program of the Ministry of Science and Technology of China [2016YFD0600204]; National Natural Science Foundation of China [3153007, 41601442, and 51709179]; Fundamental research project of MOST [2005DKA32306]; Jiangsu Provincial Natural Science Foundation of China [BK20150579]; and Sanxin Forestry Project in Jiangsu Province [LYSX[2016]46].

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