Impacts of Snow Cover on Vegetation Phenology in the Arctic from Satellite Data

作     者：曾贺情 贾根锁 

作者机构：Key Laboratory of Regional Climate-Environmental for East Asia Institute of Atmospheric Physics Chinese Academy of Sciences University of Chinese Academy of Sciences 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2013年第30卷第5期

页      面：1421-1432页

核心收录：

学科分类：07[理学] 0713[理学-生态学] 

基　　金：supported by the National Natural Science Foundation of China (Grant No. 41176168) the National Basic Research Program of China (Grant No. 2009CB723904) 

主　　题：phenology snow tundra vegetation satellite Arctic Russia seasonality 

摘      要：The dynamics of snow cover is considered an essential factor in phenological changes in Arctic tundra and other northern biomes. The Moderate Resolution Imaging Spectroradiometer （MOD1S）/Terra satellite data were selected to monitor the spatial and temporal heterogeneity of vegetation phenology and the timing of snow cover in western Arctic Russia （the Yamal Peninsula） during the period 2000 10. The magnitude of changes in vegetation phenology and the timing of snow cover were highly heterogeneous across latitudinal gradients and vegetation types in western Arctic Russia. There were identical latitudinal gradients for ＂start of season＂ （SOS） （r2 = 0.982, p〈0.0001）, ＂end of season＂ （EOS） （r2 = 0.938, p〈0.0001）, and ＂last day of snow cover＂ （LSC） （r2 = 0.984, p〈0.0001）, while slightly weaker relationships between latitudinal gradients and ＂first day of snow cover＂ （FSC） were observed （r2 = 0.48,p〈0.0042）. Delayed SOS and FSC, and advanced EOS and LSC were found in the south of the region, while there were completely different shifts in the north. SOS for the various land cover features responded to snow cover differently, while EOS among different vegetation types responded to snowfall almost the same. The timing of snow cover is likely a key driving factor behind the dynamics of vegetation phenology over the Arctic tundra. The present study suggests that snow cover urgently needs more attention to advance understanding of vegetation phenology in the future.