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

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Abstract

Temperature data over the past five decades show faster warming of the global land surface during the night than during the day1. 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 day2 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) fluxes3,4,5,6. 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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Figure 1: The response of growing-season (from April to October) NDVI to changes in growing-season maximum temperature (Tmax) and minimum temperature (Tmin) in the Northern Hemisphere.
Figure 2: Tmax and Tmin sensitivity of annual AMP at Point Barrow and Mauna Loa stations.
Figure 3: Tmax and Tmin sensitivity of a global atmospheric inversion model estimated NCE in boreal and temperate regions.
Figure 4: The response of growing-season (April–October) SWC to changes in growing-season Tmax and Tmin in the Northern Hemisphere.

References

  1. 1

    Solomon, S., et al. (eds) Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (Cambridge Univ. Press, 2007)

  2. 2

    Atkin, O. et al. Light inhibition of leaf respiration as soil fertility declines along a post-glacial chronosequence in New Zealand: an analysis using the Kok method. Plant Soil 367, 163–182 (2013)

    CAS  Article  Google Scholar 

  3. 3

    Keeling, R. F., Piper, S. C. & Heimann, M. Global and hemispheric CO2 sinks deduced from changes in atmospheric O2 concentration. Nature 381, 218–221 (1996)

    CAS  ADS  Article  Google Scholar 

  4. 4

    Myneni, R. B., Keeling, C. D., Tucker, C. J., Asrar, G. & Nemani, R. R. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 386, 698–702 (1997)

    CAS  ADS  Article  Google Scholar 

  5. 5

    Zhou, L. M. et al. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. J. Geophys. Res. 106, 20069–20083 (2001)

    ADS  Article  Google Scholar 

  6. 6

    Nemani, R. R. et al. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science 300, 1560–1563 (2003)

    CAS  ADS  Article  Google Scholar 

  7. 7

    Beier, C. et al. Carbon and nitrogen cycles in European ecosystems respond differently to global warming. Sci. Total Environ. 407, 692–697 (2008)

    CAS  ADS  Article  Google Scholar 

  8. 8

    Wan, S., Xia, J., Liu, W. & Niu, S. Photosynthetic overcompensation under nocturnal warming enhances grassland carbon sequestration. Ecology 90, 2700–2710 (2009)

    Article  Google Scholar 

  9. 9

    Alward, R. D., Detling, J. K. & Milchunas, D. G. Grassland vegetation changes and nocturnal global warming. Science 283, 229–231 (1999)

    CAS  Article  Google Scholar 

  10. 10

    Peng, S. et al. Rice yields decline with higher night temperature from global warming. Proc. Natl Acad. Sci. USA 101, 9971–9975 (2004)

    CAS  ADS  Article  Google Scholar 

  11. 11

    Prasad, P. V. V., Pisipati, S. R., Ristic, Z., Bukovnik, U. & Fritz, A. K. Impact of night-time temperature on physiology and growth of spring wheat. Crop Sci. 48, 2372–2380 (2008)

    Article  Google Scholar 

  12. 12

    Zhou, L., Kaufmann, R. K., Tian, Y., Myneni, R. B. & Tucker, C. J. Relation between interannual variations in satellite measures of northern forest greenness and climate between 1982 and 1999. J. Geophys. Res. 108, 4004 10.1029/2002JD002510 (2003)

    Article  Google Scholar 

  13. 13

    Kim, Y., Kimball, J. S., Zhang, K. & McDonald, K. C. Satellite detection of increasing Northern Hemisphere non-frozen seasons from 1979 to 2008: implications for regional vegetation growth. Remote Sens. Environ. 121, 472–487 (2012)

    ADS  Article  Google Scholar 

  14. 14

    Kreyling, J. Winter climate change: a critical factor for temperate vegetation performance. Ecology 91, 1939–1948 (2010)

    Article  Google Scholar 

  15. 15

    Beer, C. et al. Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science 329, 834–838 (2010)

    CAS  ADS  Article  Google Scholar 

  16. 16

    Lucht, W. et al. Climatic control of the high-latitude vegetation greening trend and Pinatubo effect. Science 296, 1687–1689 (2002)

    CAS  ADS  Article  Google Scholar 

  17. 17

    Hoerl, A. E. & Kennard, R. W. Ridge regression — biased estimation for nonorthogonal problems. Technometrics 12, 55–67 (1970)

    Article  Google Scholar 

  18. 18

    Chevallier, F. et al. CO2 surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements. J. Geophys. Res. 115, D21307 (2010)

    ADS  Article  Google Scholar 

  19. 19

    Turnbull, M. H., Murthy, R. & Griffin, K. L. The relative impacts of day-time and night-time warming on photosynthetic capacity in Populus deltoides. Plant Cell Environ. 25, 1729–1737 (2002)

    CAS  Article  Google Scholar 

  20. 20

    Melillo, J. M. et al. Soil warming and carbon-cycle feedbacks to the climate system. Science 298, 2173–2176 (2002)

    CAS  ADS  Article  Google Scholar 

  21. 21

    Menzel, A. et al. European phenological response to climate change matches the warming pattern. Glob. Change Biol. 12, 1969–1976 (2006)

    ADS  Article  Google Scholar 

  22. 22

    Owe, M., de Jeu, R. & Holmes, T. Multisensor historical climatology of satellite-derived global land surface moisture. J. Geophys. Res. 113, F01002 10.1029/2007JF000769 (2008)

    ADS  Article  Google Scholar 

  23. 23

    Gu, L. et al. The 2007 eastern US spring freezes: increased cold damage in a warming world? Bioscience 58, 253–262 (2008)

    Article  Google Scholar 

  24. 24

    Griffin, K. L. et al. Leaf respiration is differentially affected by leaf vs. stand-level night-time warming. Glob. Change Biol. 8, 479–485 (2002)

    ADS  Article  Google Scholar 

  25. 25

    Qian, H., Joseph, R. & Zeng, N. Enhanced terrestrial carbon uptake in the Northern High Latitudes in the 21st century from the Coupled Carbon Cycle Climate Model Intercomparison Project model projections. Glob. Change Biol. 16, 641–656 (2010)

    ADS  Article  Google Scholar 

  26. 26

    Potter, C. S. et al. Terrestrial ecosystem production—a process model based on global satellite and surface data. Glob. Biogeochem. Cycles 7, 811–841 (1993)

    ADS  Article  Google Scholar 

  27. 27

    Sitch, S. et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Glob. Change Biol. 9, 161–185 (2003)

    ADS  Article  Google Scholar 

  28. 28

    Baldocchi, D. ‘Breathing’ of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems. Aust. J. Bot. 56, 1–26 (2008)

    CAS  Article  Google Scholar 

  29. 29

    Tucker, C. J. et al. An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. Int. J. Remote Sens. 26, 4485–4498 (2005)

    ADS  Article  Google Scholar 

  30. 30

    Baker, D. F. et al. TransCom 3 inversion intercomparison: impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988-2003. Glob. Biogeochem. Cycles 20, GB1002 (2006)

    ADS  Article  Google Scholar 

  31. 31

    Mitchell, T. D. & Jones, P. D. An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol. 25, 693–712 (2005)

    Article  Google Scholar 

  32. 32

    New, M., Hulme, M. & Jones, P. Representing twentieth-century space–time climate variability. Part II: Development of 1901–96 monthly grids of terrestrial surface climate. J. Clim. 13, 2217–2238 (2000)

    ADS  Article  Google Scholar 

  33. 33

    Zhang, Y., Rossow, W. B. & Stackhouse, P. W. Comparison of different global information sources used in surface radiative flux calculation: radiative properties of the near-surface atmosphere. J. Geophys. Res. 111, D13106 (2006)

    ADS  Article  Google Scholar 

  34. 34

    Adler, R. F. et al. The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present). J. Hydrometeorol. 4, 1147–1167 (2003)

    ADS  Article  Google Scholar 

  35. 35

    Willmott, K. & Matsuura, C. J. Terrestrial Precipitation: 1900–2008 Gridded Monthly Time Series http://climate.geog.udel.edu/~climate/html_pages/Global2_Ts_2009/README.global_p_ts_2009.html (accessed 20 January 2013)

    Google Scholar 

  36. 36

    Prenger, J. J. & Ling, P. P. Greenhouse Condensation Control: Understanding and Using Vapor Pressure Deficit (VPD) http://ohioline.osu.edu/aex-fact/0804.html (accessed 20 January 2013)

    Google Scholar 

  37. 37

    de Jeu, R. A. M. et al. Global soil moisture patterns observed by space borne microwave radiometers and scatterometers. Surv. Geophys. 29, 399–420 (2008)

    ADS  Article  Google Scholar 

  38. 38

    Behera, S. K. et al. Paramount impact of the Indian Ocean dipole on the East African short rains: A CGCM study. J. Clim. 18, 4514–4530 (2005)

    ADS  Article  Google Scholar 

  39. 39

    Wang, H., Wang, B., Huang, F., Ding, Q. G. & Lee, J. Y. Interdecadal change of the boreal summer circumglobal teleconnection (1958-2010). Geophys. Res. Lett. 39, L12704 10.1029/2012gl052371 (2012)

    ADS  Article  Google Scholar 

  40. 40

    Hoerl, A. E., Kennard, R. W. & Baldwin, K. F. Ridge regression—some simulations. Commun. Stat. Theor. Med. 4, 105–123 (1975)

    Article  Google Scholar 

  41. 41

    Thoning, K. W., Tans, P. P. & Komhyr, W. D. Atmospheric carbon dioxide at Mauna Loa observatory 2. analysis of the NOAA GMCC data, 1974-1985. J. Geophys. Res. 94, 8549–8565 (1989)

    CAS  ADS  Article  Google Scholar 

  42. 42

    Zhao, M. S. & Running, S. W. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 329, 940–943 (2010)

    CAS  ADS  Article  Google Scholar 

Download references

Acknowledgements

This study was supported by the National Natural Science Foundation of China (grant numbers 41125004 and 31021001), the National Basic Research Program of China (grant numbers 2010CB950601 and 2013CB956303), the Foundation for Sino-EU Research Cooperation of the Ministry of Science and Technology of China (grant number 1003), and a Chinese Ministry of Environmental Protection Grant (number 201209031). We also acknowledge the GLOBALVIEW-CO2 project based at NOAA ESRL. S.V. is a postdoctoral research associate of the Fund for Scientific Research (Flanders).

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Contributions

S. Piao, S. Peng and H.Z. designed the research. S. Peng performed analysis and calculations. S. Piao, P.C., A.C. and S. Peng drafted the paper. R.B.M. provided the remotely sensed NDVI data and contributed to the text. F.C. provided the atmospheric inverse model estimated carbon flux and contributed to the text. A.J.D. provided the remotely sensed soil moisture data and contributed to the text. I.A.J., J.P., G.Z., S.V., S. Wan, S. Wang and H.Z. contributed to the interpretation of the results and to the text.

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Correspondence to Shilong Piao or Hui Zeng.

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Peng, S., Piao, S., Ciais, P. et al. Asymmetric effects of daytime and night-time warming on Northern Hemisphere vegetation. Nature 501, 88–92 (2013). https://doi.org/10.1038/nature12434

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