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Leaf onset in the northern hemisphere triggered by daytime temperature

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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 system

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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.
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Relationship between Winter Snow Cover Dynamics, Climate and Spring Grassland Vegetation Phenology in Inner Mongolia, China

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.
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Urbanization imprint on land surface phenology: The urban-rural gradient analysis for Chinese cities.

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

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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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.

Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change

TL;DR: Drafting Authors: Neil Adger, Pramod Aggarwal, Shardul Agrawala, Joseph Alcamo, Abdelkader Allali, Oleg Anisimov, Nigel Arnell, Michel Boko, Osvaldo Canziani, Timothy Carter, Gino Casassa, Ulisses Confalonieri, Rex Victor Cruz, Edmundo de Alba Alcaraz, William Easterling, Christopher Field, Andreas Fischlin, Blair Fitzharris.
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European phenological response to climate change matches the warming pattern

TL;DR: In this article, the authors used an enormous systematic phenological network data set of more than 125 000 observational series of 542 plant and 19 animal species in 21 European countries (1971-2000) and concluded that previously published results of phenological changes were not biased by reporting or publication predisposition.
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