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
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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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.
Journal ArticleDOI
Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications
Xuanlong Ma,Xiaofeng Zhu,Qiaoyun Xie,Jiaxin Jin,Yuke Zhou,Yunpeng Luo,Yuxia Liu,Jiaqi Tian,Yuhe Zhao +8 more
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Climate change enhances the positive contribution of human activities to vegetation restoration in China
Min Liu,Xiaoyong Bai,Qiu Tan,Guangjie Luo,Cuiwei Zhao,Luhua Wu,Xuling Luo,Chen Ran,Sirui Zhang +8 more
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.
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