Leaf onset in the northern hemisphere triggered by daytime temperature
Shilong Piao,Jianguang Tan,Anping Chen,Yongshuo H. Fu,Philippe Ciais,Qiang Liu,Ivan A. Janssens,Sara Vicca,Zhenzhong Zeng,Su-Jong Jeong,Yue Li,Ranga B. Myneni,Shushi Peng,Miaogen Shen,Josep Peñuelas +14 more
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TLDR
This work shows that the interannual anomalies of LUD during 1982–2011 are triggered by daytime (Tmax) more than by nighttime temperature (Tmin), and suggests a new conceptual framework of leaf onset using daytime temperature to improve the performance of phenology modules in current Earth system models.Abstract:
Recent warming significantly advanced leaf onset in the northern hemisphere. This signal cannot be accurately reproduced by current models parameterized by daily mean temperature (Tmean). Here using in situ observations of leaf unfolding dates (LUDs) in Europe and the United States, we show that the interannual anomalies of LUD during 1982–2011 are triggered by daytime (Tmax) more than by nighttime temperature (Tmin). Furthermore, an increase of 1 Ci nTmax would advance LUD by 4.7 days in Europe and 4.3 days in the United States, more than the conventional temperature sensitivity estimated from Tmean. The triggering role of Tmax, rather than the Tmin or Tmean variable, is also supported by analysis of the large-scale patterns of satellite-derived vegetation green-up in spring in the northern hemisphere (430N). Our results suggest a new conceptual framework of leaf onset using daytime temperature to improve the performance of phenology modules in current Earth systemread more
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Interpretation of vegetation phenology changes using daytime and night-time temperatures across the Yellow River Basin, China.
TL;DR: Using the satellite phenology derived from GIMMS NDVI3g datasets dating back to the 1980s, it is shown that significantly advanced start of the season (SOS), delayed end of theSeason (EOS) and prolonged length of growing season (LEN) has been taking place in the Yellow River Basin in China.
Journal ArticleDOI
Relationship between Winter Snow Cover Dynamics, Climate and Spring Grassland Vegetation Phenology in Inner Mongolia, China
Dejing Qiao,Nianqin Wang +1 more
TL;DR: This study quantified the spatial-temporal change of SOS by using the Advanced Very High Resolution Radiometer (AVHRR) derived Normalized Difference Vegetation Index (NDVI) from 1982 to 2015 and explored the relationships between winter snow cover, climate, and SOS across different grassland vegetation types.
Journal ArticleDOI
Climate Extreme Versus Carbon Extreme: Responses of Terrestrial Carbon Fluxes to Temperature and Precipitation
Shufen Pan,Jia Yang,Jia Yang,Hanqin Tian,Hao Shi,Hao Shi,Jinfeng Chang,Philippe Ciais,Louis François,Katja Frieler,Bojie Fu,Thomas Hickler,Akihiko Ito,Kazuya Nishina,Sebastian Ostberg,Christopher P. O. Reyer,Sibyll Schaphoff,Jörg Steinkamp,Fang Zhao +18 more
TL;DR: In this article, the authors analyzed the interannual variations in ecosystem carbon fluxes simulated by the Terrestrial Biosphere Models (TBMs) in the Inter-Sectoral Impact Model Intercomparison Project.
Journal ArticleDOI
Urbanization imprint on land surface phenology: The urban-rural gradient analysis for Chinese cities.
Wenxiao Jia,Wenxiao Jia,Shuqing Zhao,Xiaoyang Zhang,Shuguang Liu,Geoffrey M. Henebry,Lingling Liu +6 more
TL;DR: Wang et al. as discussed by the authors explored urbanization imprint on land surface phenology across the entire urbanization intensity gradient ranging from 0% to 100% in 343 Chinese cities using the VIIRS Land Surface Phenology along with MODIS Land Surface Temperature (LST) products.
Journal ArticleDOI
Responses of rubber leaf phenology to climatic variations in Southwest China
De-Li Zhai,De-Li Zhai,Haiying Yu,Si-Chong Chen,Sailesh Ranjitkar,Sailesh Ranjitkar,Jianchu Xu,Jianchu Xu +7 more
TL;DR: Investigation of the effect of several meteorological factors on different leaf phenological stages in a sub-optimal environment for rubber cultivation in Jinghong, Yunnan in Southwest China found delayed leaf phenology was found to be related to severe rubber powdery mildew disease.
References
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