Literature DB >> 24005415

Asymmetric effects of daytime and night-time warming on Northern Hemisphere vegetation.

Shushi Peng1, Shilong Piao, Philippe Ciais, Ranga B Myneni, Anping Chen, Frédéric Chevallier, Albertus J Dolman, Ivan A Janssens, Josep Peñuelas, Gengxin Zhang, Sara Vicca, Shiqiang Wan, Shiping Wang, Hui Zeng.   

Abstract

Temperature data over the past five decades show faster warming of the global land surface during the night than during the day. This asymmetric warming is expected to affect carbon assimilation and consumption in plants, because photosynthesis in most plants occurs during daytime and is more sensitive to the maximum daily temperature, Tmax, whereas plant respiration occurs throughout the day and is therefore influenced by both Tmax and the minimum daily temperature, Tmin. Most studies of the response of terrestrial ecosystems to climate warming, however, ignore this asymmetric forcing effect on vegetation growth and carbon dioxide (CO2) fluxes. Here we analyse the interannual covariations of the satellite-derived normalized difference vegetation index (NDVI, an indicator of vegetation greenness) with Tmax and Tmin over the Northern Hemisphere. After removing the correlation between Tmax and Tmin, we find that the partial correlation between Tmax and NDVI is positive in most wet and cool ecosystems over boreal regions, but negative in dry temperate regions. In contrast, the partial correlation between Tmin and NDVI is negative in boreal regions, and exhibits a more complex behaviour in dry temperate regions. We detect similar patterns in terrestrial net CO2 exchange maps obtained from a global atmospheric inversion model. Additional analysis of the long-term atmospheric CO2 concentration record of the station Point Barrow in Alaska suggests that the peak-to-peak amplitude of CO2 increased by 23 ± 11% for a +1 °C anomaly in Tmax from May to September over lands north of 51° N, but decreased by 28 ± 14% for a +1 °C anomaly in Tmin. These lines of evidence suggest that asymmetric diurnal warming, a process that is currently not taken into account in many global carbon cycle models, leads to a divergent response of Northern Hemisphere vegetation growth and carbon sequestration to rising temperatures.

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Year:  2013        PMID: 24005415     DOI: 10.1038/nature12434

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  10 in total

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Authors:  Wolfgang Lucht; I Colin Prentice; Ranga B Myneni; Stephen Sitch; Pierre Friedlingstein; Wolfgang Cramer; Philippe Bousquet; Wolfgang Buermann; Benjamin Smith
Journal:  Science       Date:  2002-05-31       Impact factor: 47.728

2.  Soil warming and carbon-cycle feedbacks to the climate system.

Authors:  J M Melillo; P A Steudler; J D Aber; K Newkirk; H Lux; F P Bowles; C Catricala; A Magill; T Ahrens; S Morrisseau
Journal:  Science       Date:  2002-12-13       Impact factor: 47.728

3.  Drought-induced reduction in global terrestrial net primary production from 2000 through 2009.

Authors:  Maosheng Zhao; Steven W Running
Journal:  Science       Date:  2010-08-20       Impact factor: 47.728

4.  Winter climate change: a critical factor for temperate vegetation performance.

Authors:  Juergen Kreyling
Journal:  Ecology       Date:  2010-07       Impact factor: 5.499

5.  Climate-driven increases in global terrestrial net primary production from 1982 to 1999.

Authors:  Ramakrishna R Nemani; Charles D Keeling; Hirofumi Hashimoto; William M Jolly; Stephen C Piper; Compton J Tucker; Ranga B Myneni; Steven W Running
Journal:  Science       Date:  2003-06-06       Impact factor: 47.728

6.  Photosynthetic overcompensation under nocturnal warming enhances grassland carbon sequestration.

Authors:  Shiqiang Wan; Jianyang Xia; Weixing Liu; Shuli Niu
Journal:  Ecology       Date:  2009-10       Impact factor: 5.499

7.  Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate.

Authors:  Christian Beer; Markus Reichstein; Enrico Tomelleri; Philippe Ciais; Martin Jung; Nuno Carvalhais; Christian Rödenbeck; M Altaf Arain; Dennis Baldocchi; Gordon B Bonan; Alberte Bondeau; Alessandro Cescatti; Gitta Lasslop; Anders Lindroth; Mark Lomas; Sebastiaan Luyssaert; Hank Margolis; Keith W Oleson; Olivier Roupsard; Elmar Veenendaal; Nicolas Viovy; Christopher Williams; F Ian Woodward; Dario Papale
Journal:  Science       Date:  2010-07-05       Impact factor: 47.728

8.  Grassland vegetation changes and nocturnal global warming

Authors: 
Journal:  Science       Date:  1999-01-08       Impact factor: 47.728

9.  Rice yields decline with higher night temperature from global warming.

Authors:  Shaobing Peng; Jianliang Huang; John E Sheehy; Rebecca C Laza; Romeo M Visperas; Xuhua Zhong; Grace S Centeno; Gurdev S Khush; Kenneth G Cassman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-28       Impact factor: 11.205

10.  Carbon and nitrogen cycles in European ecosystems respond differently to global warming.

Authors:  C Beier; B A Emmett; J Peñuelas; I K Schmidt; A Tietema; M Estiarte; P Gundersen; L Llorens; T Riis-Nielsen; A Sowerby; A Gorissen
Journal:  Sci Total Environ       Date:  2008-10-19       Impact factor: 7.963

  10 in total
  43 in total

1.  Tropical nighttime warming as a dominant driver of variability in the terrestrial carbon sink.

Authors:  William R L Anderegg; Ashley P Ballantyne; W Kolby Smith; Joseph Majkut; Sam Rabin; Claudie Beaulieu; Richard Birdsey; John P Dunne; Richard A Houghton; Ranga B Myneni; Yude Pan; Jorge L Sarmiento; Nathan Serota; Elena Shevliakova; Pieter Tans; Stephen W Pacala
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-07       Impact factor: 11.205

2.  Biogeochemistry: As different as night and day.

Authors:  Christopher Still
Journal:  Nature       Date:  2013-09-05       Impact factor: 49.962

3.  Climatic determinants impacting the distribution of greenness in China: regional differentiation and spatial variability.

Authors:  Kewei Jiao; Jiangbo Gao; Shaohong Wu
Journal:  Int J Biometeorol       Date:  2019-02-07       Impact factor: 3.787

4.  Association analysis between spatiotemporal variation of vegetation greenness and precipitation/temperature in the Yangtze River Basin (China).

Authors:  Lifang Cui; Lunche Wang; Ramesh P Singh; Zhongping Lai; Liangliang Jiang; Rui Yao
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-23       Impact factor: 4.223

5.  Spatiotemporal analysis of the effect of climate change on vegetation health in the Drakensberg Mountain Region of South Africa.

Authors:  Geoffrey Mukwada; Desmond Manatsa
Journal:  Environ Monit Assess       Date:  2018-05-24       Impact factor: 2.513

6.  Effects of different warming patterns on the translocations of cadmium and copper in a soil-rice seedling system.

Authors:  Liqiang Ge; Long Cang; Hui Liu; Dongmei Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2015-06-04       Impact factor: 4.223

7.  Responses of vegetation activity to the daytime and nighttime warming in Northwest China.

Authors:  Ziqiang Du; Jie Zhao; Huanhuan Pan; Zhitao Wu; Hong Zhang
Journal:  Environ Monit Assess       Date:  2019-11-06       Impact factor: 2.513

8.  Recent asymmetric warming trends of daytime versus nighttime and their linkages with vegetation greenness in temperate China.

Authors:  Ziqiang Du; Jie Zhao; Xuejia Liu; Zhitao Wu; Hong Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-07       Impact factor: 4.223

9.  Spatiotemporal variation of vegetation coverage and its associated influence factor analysis in the Yangtze River Delta, eastern China.

Authors:  Jia Yuan; Youpeng Xu; Jie Xiang; Lei Wu; Danqing Wang
Journal:  Environ Sci Pollut Res Int       Date:  2019-09-10       Impact factor: 4.223

10.  Variation in leaf flushing date influences autumnal senescence and next year's flushing date in two temperate tree species.

Authors:  Yongshuo S H Fu; Matteo Campioli; Yann Vitasse; Hans J De Boeck; Joke Van den Berge; Hamada AbdElgawad; Han Asard; Shilong Piao; Gaby Deckmyn; Ivan A Janssens
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-05       Impact factor: 11.205

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