Changing Spring Phenology Dates in the Three-Rivers Headwater Region of the Tibetan Plateau during 1960-2013

The variation of the vegetation growing season in the Three-Rivers Headwater Region of the Tibetan Plateau has recentlybecome a controversial topic. One issue is that the estimated local trend in the start of the vegetation growing season （SOS）based on remote sensing data is easily affected by outli...

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Bibliographic Details
Published in:Advances in atmospheric sciences 2018, Vol.35 (1), p.116-126
Main Authors: Yu, Shuang, Xia, Jiangjiang, Yan, Zhongwei, Yang, Kun
Format: Article
Language:English
Subjects:
Arctic Oscillation
Atmospheric Sciences
Earth and Environmental Science
Earth Sciences
Geophysics/Geodesy
Growing season
Headwaters
Imaging techniques
Meteorology
Normalized difference vegetative index
Original Paper
Outliers (statistics)
Plateaus
Remote sensing
Rivers
Spectroradiometers
Spring
start
of
growing
season,
normalized
difference
vegetation
index,
spring
minimum
temperature,
Three-RiversHeadwater
Region,
Arctic
Oscillation
Temperature data
Towards Improving Understanding and Prediction of Arctic Change and its Linkage with Eurasian Mid-latitude Weather and Climate
Vegetation
Vegetation index
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Summary:The variation of the vegetation growing season in the Three-Rivers Headwater Region of the Tibetan Plateau has recentlybecome a controversial topic. One issue is that the estimated local trend in the start of the vegetation growing season （SOS）based on remote sensing data is easily affected by outliers because this data series is short. In this study, we determine thatthe spring minimum temperature is the most influential factor for SOS. The significant negative linear relationship betweenthe two variables in the region is evaluated using Moderate Resolution Imaging Spectroradiometer-Normalized DifferenceVegetation Index data for 2000-13. We then reconstruct the SOS time series based on the temperature data for 1960-2013.The regional mean SOS shows an advancing trend of 1.42 d （10 yr）-1 during 1960-2013, with the SOS occurring on the160th and 151st days in 1960 and 2013, respectively. The advancing trend enhances to 6.04 d （10 yr）^-1 during the past 14years. The spatiotemporal variations of the reconstructed SOS data are similar to those deduced from remote sensing dataduring the past 14 years. The latter exhibit an even larger regional mean trend of SOS [7.98 d （10 yr-l）] during 2000-13. TheArctic Oscillation is found to have significantly influenced the changing SOS, especially for the eastern part of the region,during 2000-13.
ISSN:0256-1530
1861-9533
DOI:10.1007/s00376-017-6296-y