首页|Spatio-temporal variation of spring phenology in Tibetan Plateau and its linkage to climate change from 1982 to 2012
Spatio-temporal variation of spring phenology in Tibetan Plateau and its linkage to climate change from 1982 to 2012
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The influence of climate change on vegetation phenology is a heated issue in current climate change study.We used GIMMS-3g NDVI data to detect the spatio-temporal dynamics of the start of the growing season (SGS) over the Tibetan Plateau (TP) from 1982 to 2012 and to analyze its relationship with temperature and precipitation.No significant trend was observed in the SGS at the regional scale during the study period (R2 =0.03, P =0.352).However, there were three time periods (1982-1999, 1999-2008 and 2008-2012) with identifiable, distinctly different trends.Regions with a significant advancing trend were mainly scattered throughout the humid and semi-humid areas, whereas the regions with a significant delaying trend were mostly distributed throughout the semi-arid areas.Statistical analysis showed that the response of the SGS to climate change varies spatially.The SGS was significantly correlated with the spring temperature and the start of the thermal growth season (STGS) in the relatively humid area.With increasing aridity, the importance of the spring temperature for the SGS gradually decreased.However, the influences of precipitation and winter temperature on the SGS were complicated across the plateau.
Spring phenologySpatial patternTemporal variationClimate changeCorrelationTibetan Plateau (TP)
Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education and School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China
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This study was supported by the Strategic Priority Research Program of the Chinese Academy of SciencesNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China
NETL
NSTL
维普
万方数据
