Legacy effects of spring phenology on vegetation growth under preseason meteorological drought in the Northern Hemisphere

2021 ◽  
Vol 310 ◽  
pp. 108630
Author(s):  
Zhaoqi Zeng ◽  
Wenxiang Wu ◽  
Quansheng Ge ◽  
Zhaolei Li ◽  
Xiaoyue Wang ◽  
...  
2017 ◽  
Vol 24 (1) ◽  
pp. 504-516 ◽  
Author(s):  
Xiuchen Wu ◽  
Hongyan Liu ◽  
Xiaoyan Li ◽  
Philippe Ciais ◽  
Flurin Babst ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Xu Lian ◽  
Shilong Piao ◽  
Anping Chen ◽  
Kai Wang ◽  
Xiangyi Li ◽  
...  

AbstractThe state of ecosystems is influenced strongly by their past, and describing this carryover effect is important to accurately forecast their future behaviors. However, the strength and persistence of this carryover effect on ecosystem dynamics in comparison to that of simultaneous environmental drivers are still poorly understood. Here, we show that vegetation growth carryover (VGC), defined as the effect of present states of vegetation on subsequent growth, exerts strong positive impacts on seasonal vegetation growth over the Northern Hemisphere. In particular, this VGC of early growing-season vegetation growth is even stronger than past and co-occurring climate on determining peak-to-late season vegetation growth, and is the primary contributor to the recently observed annual greening trend. The effect of seasonal VGC persists into the subsequent year but not further. Current process-based ecosystem models greatly underestimate the VGC effect, and may therefore underestimate the CO2 sequestration potential of northern vegetation under future warming.


2020 ◽  
Vol 281 ◽  
pp. 107845 ◽  
Author(s):  
Xuancheng Zhou ◽  
Xiaojun Geng ◽  
Guodong Yin ◽  
Heikki Hänninen ◽  
Fanghua Hao ◽  
...  

2016 ◽  
Vol 22 (11) ◽  
pp. 3702-3711 ◽  
Author(s):  
Qiang Liu ◽  
Yongshuo H. Fu ◽  
Zaichun Zhu ◽  
Yongwen Liu ◽  
Zhuo Liu ◽  
...  

2017 ◽  
Vol 44 (12) ◽  
pp. 6173-6181 ◽  
Author(s):  
Xiuchen Wu ◽  
Hongyan Liu ◽  
Xiaoyan Li ◽  
Shilong Piao ◽  
Philippe Ciais ◽  
...  

2019 ◽  
Vol 124 (12) ◽  
pp. 3831-3846
Author(s):  
Yongjian Ruan ◽  
Xinchang Zhang ◽  
Qinchuan Xin ◽  
Zurui Ao ◽  
Ying Sun

2017 ◽  
Vol 24 (3) ◽  
pp. 1342-1356 ◽  
Author(s):  
Qiang Liu ◽  
Yongshuo H. Fu ◽  
Yongwen Liu ◽  
Ivan A. Janssens ◽  
Shilong Piao

2018 ◽  
Vol 123 (8) ◽  
pp. 2541-2552 ◽  
Author(s):  
Chen Chen ◽  
Bin He ◽  
Lanlan Guo ◽  
Yafeng Zhang ◽  
Xiaoming Xie ◽  
...  

2016 ◽  
Vol 7 (3) ◽  
pp. 717-734 ◽  
Author(s):  
Alemu Gonsamo ◽  
Jing M. Chen ◽  
Drew T. Shindell ◽  
Gregory P. Asner

Abstract. A lack of long-term measurements across Earth's biological and physical systems has made observation-based detection and attribution of climate change impacts to anthropogenic forcing and natural variability difficult. Here we explore coherence among land, cryosphere and ocean responses to recent climate change using 3 decades (1980–2012) of observational satellite and field data throughout the Northern Hemisphere. Our results show coherent interannual variability among snow cover, spring phenology, solar radiation, Scandinavian Pattern, and North Atlantic Oscillation. The interannual variability of the atmospheric peak-to-trough CO2 amplitude is mostly impacted by temperature-mediated effects of El Niño/Southern Oscillation (ENSO) and Pacific/North American Pattern (PNA), whereas CO2 concentration is affected by Polar Pattern control on sea ice extent dynamics. This is assuming the trend in anthropogenic CO2 emission remains constant, or the interannual changes in the trends are negligible. Our analysis suggests that sea ice decline-related CO2 release may outweigh increased CO2 uptake through longer growing seasons and higher temperatures. The direct effects of variation in solar radiation and leading teleconnections, at least in part via their impacts on temperature, dominate the interannual variability of land, cryosphere and ocean indicators. Our results reveal a coherent long-term changes in multiple physical and biological systems that are consistent with anthropogenic forcing of Earth's climate and inconsistent with natural drivers.


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