Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Earlier leaf-out warms air in the north

Abstract

Earlier leaf-out in response to climate warming has been recorded in northern temperate and boreal regions. In turn, this shift modifies climate by altering seasonal cycles of surface energy, water and carbon budgets. Here, we use the Community Earth System Model 1.2 to investigate climate feedbacks from advanced leaf-out in northern temperate and boreal vegetation. An imposed 12-day earlier leaf-out in this region, consistent with recent observations, enhances annual surface warming in the Northern Hemisphere. We identify warming hotspots in the Canadian Arctic Archipelago (~0.7 °C), east and west edges of Siberia (~0.4 °C) and southeastern Tibetan Plateau (~0.3 °C). We attribute this enhanced warming to combined effects of indirect water vapour, cloud and snow-albedo radiative feedbacks through intensified poleward water vapour transport rather than direct vegetation albedo and latent heat biophysical feedbacks. With continued warming, positive feedbacks between climate and leaf phenology are likely to amplify warming in the northern high latitudes.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: The leaf area change and temperature anomalies due to advanced leaf-out.
Fig. 2: Latitudinally averaged temperature anomalies and radiative forcing.
Fig. 3: The relationships of latitudinally averaged anomalies in radiative forcing and its drivers.
Fig. 4: Vertically integrated water vapour accumulation and transport anomalies.
Fig. 5: A schematic diagram of the dipole temperature anomaly pattern in Eurasia.

Similar content being viewed by others

Data availability

The authors declare that the simulation results that support the findings of this study are available upon request from Xiyan Xu or Gensuo Jia. The input data for CESM1.2 simulations are available on https://svn-ccsm-inputdata.cgd.ucar.edu/trunk/inputdata/. Source data for Figs. 1–5 are provided via 10.6084/m9.figshare.11626965.

Code availability

CESM1.2 used in this study is available from the National Center of Atmospheric Research, distributed through a public subversion code repository following the release information on http://www.cesm.ucar.edu/models/cesm1.2/.

References

  1. Xu, X., Riley, W. J., Koven, C. D. & Jia, G. Heterogeneous spring phenology shifts affected by climate: supportive evidence from two remotely sensed vegetation indices. Environ. Res. Commun. 1, 91004 (2019).

    Google Scholar 

  2. Piao, S. et al. Leaf onset in the Northern Hemisphere triggered by daytime temperature. Nat. Commun. 6, 6911 (2015).

    CAS  Google Scholar 

  3. Xu, X., Riley, W. J., Koven, C. D. & Jia, G. Observed and simulated sensitivities of spring greenup to preseason climate in northern temperate and boreal regions. J. Geophys. Res. Biogeosci. 123, 60–78 (2018).

    Google Scholar 

  4. Piao, S. et al. Plant phenology and global climate change: current progresses and challenges. Glob. Change Biol. 25, 1922–1940 (2019).

    Google Scholar 

  5. Peñuelas, J. Phenology feedbacks on climate change. Science 324, 887–888 (2009).

    Google Scholar 

  6. Jackson, R. B. et al. Protecting climate with forests. Environ. Res. Lett. 3, 44006 (2008).

    Google Scholar 

  7. Moore, K. E. et al. Seasonal Variation in Radiative and Turbulent Exchange at a Deciduous Forest in Central Massachusetts. J. Appl. Meterology 35, 122–134 (1996).

    Google Scholar 

  8. Blanken, P. D. & Rouse, W. R. The role of willow-birch forest in the surface energy balance at Arctic treeline. Arct. Alp. Res. 26, 403–411 (1994).

    Google Scholar 

  9. Ryu, Y., Baldocchi, D. D., Ma, S. & Hehn, T. Interannual variability of evapotranspiration and energy exchange over an annual grassland in California. J. Geophys. Res. Atmos. 113, D09104 (2008).

    Google Scholar 

  10. Wang, S. & Davidson, A. Impact of climate variations on surface albedo of a temperate grassland. Agric. For. Meteorol. 142, 133–142 (2007).

    Google Scholar 

  11. Richardson, A. D. et al. Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agric. For. Meteorol. 169, 156–173 (2013).

    Google Scholar 

  12. Lee, X. et al. Observed increase in local cooling effect of deforestation at higher latitudes. Nature 479, 384–387 (2011).

    CAS  Google Scholar 

  13. Zha, T. et al. Interannual variation of evapotranspiration from forest and grassland ecosystems in western Canada in relation to drought. Agric. For. Meteorol. 150, 1476–1484 (2010).

    Google Scholar 

  14. Barr, A. G. et al. Climatic controls on the carbon and water balances of a boreal aspen forest, 1994–2003. Glob. Change Biol. 13, 561–576 (2007).

    Google Scholar 

  15. Schwartz, M. D. & Karl, T. R. Spring phenology: nature’s Experiment to detect the effect of “green-up” on surface maximum temperatures. Mon. Weather Rev. 118, 883–890 (1990).

    Google Scholar 

  16. Freedman, J. M., Fitzjarrald, D. R., Moore, K. E. & Sakai, R. K. Boundary layer clouds and vegetation–atmosphere feedbacks. J. Clim. 14, 180–197 (2001).

    Google Scholar 

  17. Donohoe, A. & Battisti, D. S. Atmospheric and surface contributions to planetary albedo. J. Clim. 24, 4402–4418 (2011).

    Google Scholar 

  18. Dorota, M. Influence of the extent and genera of cloud cover on solar radiation intensity. Int. J. Climatol. 32, 2403–2414 (2012).

    Google Scholar 

  19. Hogg, E. H., Price, D. T. & Black, T. A. Postulated feedbacks of deciduous forest phenology on seasonal climate patterns in the western Canadian interior. J. Clim. 13, 4229–4243 (2000).

    Google Scholar 

  20. Manoli, G. et al. Soil–plant–atmosphere conditions regulating convective cloud formation above southeastern US pine plantations. Glob. Change Biol. 22, 2238–2254 (2016).

    Google Scholar 

  21. Swann, A. L., Fung, I. Y., Levis, S., Bonan, G. B. & Doney, S. C. Changes in Arctic vegetation amplify high-latitude warming through the greenhouse effect. Proc. Natl Acad. Sci. USA 107, 1295–1300 (2010).

    CAS  Google Scholar 

  22. Vargas Zeppetello, L. R., Donohoe, A. & Battisti, D. S. Does surface temperature respond to or determine downwelling longwave radiation? Geophys. Res. Lett. 46, 2781–2789 (2019).

    Google Scholar 

  23. Wielicki, B. A. et al. Changes in Earth’s albedo measured by satellite. Science 308, 825 (2005).

    CAS  Google Scholar 

  24. Strack, J. E., Pielke, R. A. & Adegoke, J. Sensitivity of model-generated daytime surface heat fluxes over snow to land-cover changes. J. Hydrometeorol. 4, 24–42 (2003).

    Google Scholar 

  25. Wang, S. Simulation of evapotranspiration and its response to plant water and CO2 transfer dynamics. J. Hydrometeorol. 9, 426–443 (2008).

    Google Scholar 

  26. Jeong, S. J., Ho, C. I. & Jeong, J. H. Increase in vegetation greenness and decrease in springtime warming over East Asia. Geophys. Res. Lett. 36, 1–5 (2009).

    Google Scholar 

  27. Shen, M. et al. Evaporative cooling over the Tibetan Plateau induced by vegetation growth. Proc. Natl Acad. Sci. USA 112, 9299–9304 (2015).

    CAS  Google Scholar 

  28. Wang, W. et al. Industrial and agricultural wastes decreased greenhouse-gas emissions and increased rice grain yield in a subtropical paddy field. Exp. Agric. 54, 623–640 (2018).

    Google Scholar 

  29. Hu, J., Moore, D. J. P., Burns, S. P. & Monson, R. Longer growing seasons lead to less carbon sequestration by a subalpine forest. Glob. Change Biol. 16, 771–783 (2010).

    Google Scholar 

  30. Stanhill, G. The role of water vapor and solar radiation in determining temperature changes and trends measured at Armagh, 1881–2000. J. Geophys. Res. Atmos. 116, D03105 (2011).

    Google Scholar 

  31. Rasmusson, E. M. Atmospheric water vapor transport and the water balance of North America: part I. Characteristics of the water vapor flux field. Mon. Weather Rev. 95, 403–426 (1967).

    Google Scholar 

  32. Ryu, Y.-H., Smith, J. A. & Bou-Zeid, E. On the climatology of precipitable water and water vapor flux in the mid-Atlantic region of the United States. J. Hydrometeorol. 16, 70–87 (2014).

    Google Scholar 

  33. Huang, R., Chen, J. & Huang, G. Characteristics and variations of the East Asian monsoon system and its impacts on climate disasters in China. Adv. Atmos. Sci. 24, 993–1023 (2007).

    Google Scholar 

  34. Nash, D., Waliser, D., Guan, B., Ye, H. & Ralph, F. M. The role of atmospheric rivers in extratropical and polar hydroclimate. J. Geophys. Res. Atmos. 123, 6804–6821 (2018).

    Google Scholar 

  35. Komatsu, K. K., Alexeev, V. A., Repina, I. A. & Tachibana, Y. Poleward upgliding Siberian atmospheric rivers over sea ice heat up Arctic upper air. Sci. Rep. 8, 2872 (2018).

    Google Scholar 

  36. Huete, A. et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83, 195–213 (2002).

    Google Scholar 

  37. Baldocchi, D. D. & Vogel, C. A. Energy and CO2 flux densities above and below a temperate broad-leaved forest and a boreal pine forest. Tree Physiol. 16, 5–16 (1996).

    Google Scholar 

  38. Bonan, G. B. Importance of leaf area index and forest type when estimating photosynthesis in boreal forests. Remote Sens. Environ. 43, 303–314 (1993).

    Google Scholar 

  39. Bonan, G. B. Forests and climate change: forcings, feedbacks, and the climate benefits of forests. Science 320, 1444–1449 (2008).

    CAS  Google Scholar 

  40. Curry, C. L., Islam, S. U., Zwiers, F. W. & Déry, S. J. Atmospheric rivers increase future flood risk in western Canada’s largest Pacific river. Geophys. Res. Lett. 46, 1651–1661 (2019).

    Google Scholar 

  41. Cronin, T. W. & Tziperman, E. Low clouds suppress Arctic air formation and amplify high-latitude continental winter warming. Proc. Natl Acad. Sci. USA 112, 11490–11495 (2015).

    CAS  Google Scholar 

  42. Graversen, R. G. & Wang, M. Polar amplification in a coupled climate model with locked albedo. Clim. Dyn. 33, 629–643 (2009).

    Google Scholar 

  43. Ramstein, G., Serafini-Le Treut, Y., Le Treut, H., Forichon, M. & Joussaume, S. Cloud processes associated with past and future climate changes. Clim. Dyn. 14, 233–247 (1998).

    Google Scholar 

  44. Laguë, M. M. & Swann, A. L. S. S. Progressive midlatitude afforestation: impacts on clouds, global energy transport, and precipitation. J. Clim. 29, 5561–5573 (2016).

    Google Scholar 

  45. Zeng, Z. et al. Climate mitigation from vegetation biophysical feedbacks during the past three decades. Nat. Clim. Change 7, 432–436 (2017).

    Google Scholar 

  46. Lawrence, D. M. et al. Parameterization improvements and functional and structural advances in version 4 of the Community Land Model. J. Adv. Model. Earth Syst. 3, M03001 (2011).

    Google Scholar 

  47. Myneni, R. B. et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens. Environ. 83, 214–231 (2002).

    Google Scholar 

  48. Lawrence, P. J. & Chase, T. N. Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0). J. Geophys. Res. Biogeosci. 112, G01023 (2007).

    Google Scholar 

  49. Zeng, X., Shaikh, M., Dai, Y., Dickinson, R. E. & Myneni, R. Coupling of the Common Land Model to the NCAR Community Climate Model. J. Clim. 15, 1832–1854 (2002).

    Google Scholar 

  50. Bonan, G. B. Land Surface Model (LSM Version 1.0) for Ecological, Hydrological, and Atmospheric Studies: Technical Description and User’s Guide Technical note (NCAR, 1996).

  51. Bonan, G. B. et al. The Land Surface Climatology of the Community Land Model coupled to the NCAR Community Climate Model. J. Clim. 15, 3123–3149 (2002).

    Google Scholar 

  52. Conley, A. J. et al. Description of the NCAR Community Atmosphere Model (CAM5.0) Technical Note (NCAR, 2012).

  53. Rayner, N. A. et al. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res. Atmos. 108, 4407 (2003).

    Google Scholar 

  54. Zhu, Y. & Newell, R. E. A proposed algorithm for moisture fluxes from atmospheric rivers. Mon. Weather Rev. 126, 725–735 (1998).

    Google Scholar 

Download references

Acknowledgements

This study is funded by Strategic Priority Research Program of the Chinese Academy of Sciences, CASEarth (XDA19070203) and the Natural Science Foundation of China (#41875107). W.J.R. and C.D.K were supported by the US Department of Energy, Office of Science, Biological and Environmental Research, Regional and Global Climate Modeling Program through the RUBISCO Scientific Focus Area under contract DE-AC02-05CH11231 to Lawrence Berkeley National Laboratory. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a US Department of Energy Office of Science user facility operated under contract no. DE-AC02-05CH11231, and the Lawrencium computational cluster resource provided by the IT Division at the Lawrence Berkeley National Laboratory.

Author information

Authors and Affiliations

Authors

Contributions

X.X. designed the study, performed the simulations, analysed the model output and wrote the paper. W.J.R. and C.D.K. provided important insight on aspects of the CESM model and study design. G.J. provided important insight on the land surfaces processes and contributed to the analysis of the result. X.Z. contributed to the analysis of the result. All authors contributed to the results discussion.

Corresponding author

Correspondence to Gensuo Jia.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Climate Change thanks Marysa Laguë and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Figs. 1–6.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, X., Riley, W.J., Koven, C.D. et al. Earlier leaf-out warms air in the north. Nat. Clim. Chang. 10, 370–375 (2020). https://doi.org/10.1038/s41558-020-0713-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41558-020-0713-4

This article is cited by

Search

Quick links

Nature Briefing Anthropocene

Sign up for the Nature Briefing: Anthropocene newsletter — what matters in anthropocene research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Anthropocene