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Leaf onset in the northern hemisphere triggered by daytime temperature

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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Satellite Observed Strong Relationship Between Nighttime Surface Temperature and Leaf Coloring Dates of Terrestrial Ecosystems in East China

TL;DR: It is demonstrated that LCD of China's ecosystems has been delayed at a rate of 0.7 days per year over 2003–2014, and a longer LCD contributed to the increased annual gross primary productivity for most regions.
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Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications

TL;DR: Land surface phenology (LSP) is defined as the use of satellites to monitor seasonal dynamics in vegetated land surfaces and to estimate phenological transition dates as discussed by the authors , and it has been viewed as the nature's calendar and an integrative indicator of plant climate interactions.
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Thermal and moisture response to land surface changes across different ecosystems over Heilong-Amur River Basin

TL;DR: In this article , the authors used multi-source satellite measurements records and a high-resolution land-atmosphere coupled regional climate model (WRF) to investigate the land surface changes and their associated thermal and moisture impacts across three main ecosystems over the Heilong-Amur River basin from 1982 to 2018.
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Effect of Mathematical Expression of Vegetation Indices on the Estima-tion of Phenology Trends from Satellite Data

TL;DR: In this paper, the NDVI and SR vegetation indices were used to extract the start date (SOS) and end date (EOS) of the growing season in northern China and Mongolia from 2000 to 2015.
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Climate change enhances the positive contribution of human activities to vegetation restoration in China

TL;DR: Wang et al. as discussed by the authors quantitatively evaluated the contributions of climate change and human activities to the net primary productivity (NPP) by the method of partial derivative and six different scenarios.
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.
Journal ArticleDOI

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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