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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Progress in plant phenology modeling under global climate change
TL;DR: In this paper, the authors summarized the drivers of plant phenology and overviewed the development of plant Phenology models and highlighted that coupling machine learning and Bayesian calibration into process-based models could be a potential approach to improve the accuracy of phenology simulation and prediction under future global change conditions.
Journal ArticleDOI
An earlier start of the thermal growing season enhances tree growth in cold humid areas but not in dry areas
Shan Gao,Eryuan Liang,Ruishun Liu,Flurin Babst,J. Julio Camarero,Yongshuo H. Fu,Shilong Piao,Sergio Rossi,Miaogen Shen,Tao Wang,Josep Peñuelas +10 more
TL;DR: In this paper , the authors assessed the relationship between the start of the thermal growing season and tree growth across the extratropical Northern Hemisphere using 3,451 tree-ring chronologies and daily climatic data for 1948-2014.
Journal ArticleDOI
Simulating the onset of spring vegetation growth across the Northern Hemisphere
TL;DR: In this article, the photoperiod effect was used to simulate the spring onset of vegetation growth in boreal and temperate forests in the Northern Hemisphere between 1982 and 2012, and the results indicated that the photopiod plays a role in controlling the onset of growth in most Northern Hemisphere forests, whereas other environmental factors (e.g., precipitation) should be considered when simulating the onset in grasslands.
Journal ArticleDOI
Forest phenology dynamics to climate change and topography in a geographic and climate transition zone: The Qinling Mountains in Central China
Haoming Xia,Yaochen Qin,Gary Feng,Qingmin Meng,Yaoping Cui,Hongquan Song,Ying Ouyang,Gang-Jun Liu +7 more
TL;DR: The spatiotemporal patterns of forest phenology from 2001 to 2017 in the Qinling Mountains are estimated and visualized based on the enhanced vegetation index (EVI) from MODerate-resolution Imaging Spectroradiometer (MODIS) to reveal the impacts of climate change and topography on the start of thegrowing season (SOS), end of the growing season (EOS), and the length of growingSeason (LOS).
Journal ArticleDOI
Photoperiod controls vegetation phenology across Africa.
Tracy Adole,Jadunandan Dash,Victor Rodriguez-Galiano,Peter M. Atkinson,Peter M. Atkinson,Peter M. Atkinson +5 more
TL;DR: A systematic analysis of the relationship between phenological parameters and their drivers across regions in Africa consistently identifies photoperiod as the dominant factor controlling the onset and end of the vegetation growth season.
References
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