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Quantifying global soil carbon losses in response to warming

Abstract

The majority of the Earth’s terrestrial carbon is stored in the soil. If anthropogenic warming stimulates the loss of this carbon to the atmosphere, it could drive further planetary warming1,2,3,4. Despite evidence that warming enhances carbon fluxes to and from the soil5,6, the net global balance between these responses remains uncertain. Here we present a comprehensive analysis of warming-induced changes in soil carbon stocks by assembling data from 49 field experiments located across North America, Europe and Asia. We find that the effects of warming are contingent on the size of the initial soil carbon stock, with considerable losses occurring in high-latitude areas. By extrapolating this empirical relationship to the global scale, we provide estimates of soil carbon sensitivity to warming that may help to constrain Earth system model projections. Our empirical relationship suggests that global soil carbon stocks in the upper soil horizons will fall by 30 ± 30 petagrams of carbon to 203 ± 161 petagrams of carbon under one degree of warming, depending on the rate at which the effects of warming are realized. Under the conservative assumption that the response of soil carbon to warming occurs within a year, a business-as-usual climate scenario would drive the loss of 55 ± 50 petagrams of carbon from the upper soil horizons by 2050. This value is around 12–17 per cent of the expected anthropogenic emissions over this period7,8. Despite the considerable uncertainty in our estimates, the direction of the global soil carbon response is consistent across all scenarios. This provides strong empirical support for the idea that rising temperatures will stimulate the net loss of soil carbon to the atmosphere, driving a positive land carbon–climate feedback that could accelerate climate change.

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Figure 1: The effect of warming on soil C losses depends on the initial standing soil C stock.
Figure 2: Validation plots highlighting the predictive strength of the statistical model.
Figure 3: Spatial extrapolation of the temperature vulnerability of soil C stocks.

References

  1. Bellamy, P. H., Loveland, P. J., Bradley, R. I., Lark, R. M. & Kirk, G. J. D. Carbon losses from all soils across England and Wales 1978–2003. Nature 437, 245–248 (2005)

    Article  ADS  CAS  Google Scholar 

  2. Davidson, E. A. & Janssens, I. A. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440, 165–173 (2006)

    Article  ADS  CAS  Google Scholar 

  3. Billings, W. D. Carbon balance of Alaskan tundra and taiga ecosystems: past, present and future. Quat. Sci. Rev. 6, 165–177 (1987)

    Article  ADS  Google Scholar 

  4. Jenkinson, D. S., Adams, D. E. & Wild, A. Model estimates of CO2 emissions from soil in response to global warming. Nature 351, 304–306 (1991)

    Article  ADS  CAS  Google Scholar 

  5. Lu, M. et al. Responses of ecosystem carbon cycle to experimental warming: a meta-analysis. Ecology 94, 726–738 (2013)

    Article  ADS  Google Scholar 

  6. Mahecha, M. D. et al. Global convergence in the temperature sensitivity of respiration at ecosystem level. Science 329, 838–840 (2010)

    Article  ADS  CAS  Google Scholar 

  7. Ballantyne, A. P. et al. Audit of the global carbon budget: estimate errors and their impact on uptake uncertainty. Biogeosciences 12, 2565–2584 (2015)

    Article  ADS  Google Scholar 

  8. Riahi, K. et al. RCP 8.5: A scenario of comparatively high greenhouse gas emissions. Climatic Change 109, 33–57 (2011)

    Article  ADS  CAS  Google Scholar 

  9. Jobbágy, E. G. & Jackson, R. B. The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol. Appl. 10, 423–436 (2000)

    Article  Google Scholar 

  10. Crowther, T. W. & Bradford, M. A. Thermal acclimation in widespread heterotrophic soil microbes. Ecol. Lett. 16, 469–477 (2013)

    Article  Google Scholar 

  11. Crowther, T. W. et al. Biotic interactions mediate soil microbial feedbacks to climate change. Proc. Natl Acad. Sci. USA 112, 7033–7038 (2015)

    Article  ADS  CAS  Google Scholar 

  12. Arora, V. K. et al. Carbon–concentration and carbon–climate feedbacks in CMIP5 Earth system models. J. Clim. 26, 5289–5314 (2013)

    Article  ADS  Google Scholar 

  13. Day, T. a., Ruhland, C. T. & Xiong, F. S. Warming increases aboveground plant biomass and C stocks in vascular-plant-dominated Antarctic tundra. Glob. Change Biol. 14, 1827–1843 (2008)

    Article  ADS  Google Scholar 

  14. Todd-Brown, K. E. O. et al. Changes in soil organic carbon storage predicted by Earth system models during the 21st century. Biogeosciences 11, 2341–2356 (2014)

    Article  ADS  CAS  Google Scholar 

  15. Sistla, S. A. et al. Long-term warming restructures Arctic tundra without changing net soil carbon storage. Nature 497, 615–618 (2013)

    Article  ADS  CAS  Google Scholar 

  16. Bradford, M. A. et al. Managing uncertainty in soil carbon feedbacks to climate change. Nat. Clim. Change 6, 751–758 (2016)

    Article  ADS  Google Scholar 

  17. Jones, C. et al. Twenty-first-century compatible CO2 emissions and airborne fraction simulated by CMIP5 Earth system models under four representative concentration pathways. J. Clim. 26, 4398–4413 (2013)

    Article  ADS  Google Scholar 

  18. Serreze, M. C. & Barry, R. G. Processes and impacts of Arctic amplification: a research synthesis. Glob. Planet. Change 77, 85–96 (2011)

    Article  ADS  Google Scholar 

  19. Koven, C. D. et al. A simplified, data-constrained approach to estimate the permafrost carbon–climate feedback. Phil. Trans. R. Soc. A 373, 20140423 (2015)

    Article  ADS  Google Scholar 

  20. Hengl, T. et al. SoilGrids1km—global soil information based on automated mapping. PLoS ONE 9, e105992 (2014)

    Article  ADS  Google Scholar 

  21. Schuur, E. A. et al. Climate change and the permafrost carbon feedback. Nature 520, 171–179 (2015)

    Article  ADS  CAS  Google Scholar 

  22. Macias-Fauria, M., Forbes, B. C., Zetterberg, P. & Kumpula, T. Eurasian Arctic greening reveals teleconnections and the potential for structurally novel ecosystems. Nat. Clim. Change 2, 613–618 (2012)

    Article  ADS  Google Scholar 

  23. Meehl, G. a. et al. Climate change projections in CESM1(CAM5) compared to CCSM4. J. Clim. 26, 6287–6308 (2013)

    Article  ADS  Google Scholar 

  24. Ciais, P. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al. ) (IPCC, Cambridge Univ. Press, 2013)

  25. Koven, C. D. et al. Controls on terrestrial carbon feedbacks by productivity versus turnover in the CMIP5 Earth System Models. Biogeosciences 12, 5211–5228 (2015)

    Article  ADS  Google Scholar 

  26. Wieder, W. R., Bonan, G. B. & Allison, S. D. Global soil carbon projections are improved by modelling microbial processes. Nat. Clim. Change 3, 909–912 (2013)

    Article  ADS  CAS  Google Scholar 

  27. Georgiou, K., Koven, C. D., Riley, W. J. & Torn, M. S. Toward improved model structures for analyzing priming: potential pitfalls of using bulk turnover time. Glob. Change Biol. 21, 4298–4302 (2015)

    Article  ADS  Google Scholar 

  28. Conant, R. T. et al. Temperature and soil organic matter decomposition rates: synthesis of current knowledge and a way forward. Glob. Change Biol. 17, 3392–3404 (2011)

    Article  ADS  Google Scholar 

  29. Crowther, T. W. et al. Mapping tree density at a global scale. Nature 525, 201–205 (2015)

    Article  ADS  CAS  Google Scholar 

  30. Gelman, A. Scaling regression inputs by dividing by two standard deviations. Stat. Med. 27, 2865–2873 (2008)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

We would like to thank the Global Soil Biodiversity Initiative (GSBI) for support during this project. This project was largely funded by grants to T.W.C. from Marie Skłodowska-Curie actions, the British Ecological Society and the Yale Climate and Energy Institute. M.A.B. and W.R.W. were supported by grants from the US National Science Foundation and W.R.W. from the US Department of Energy and K.E.O.T.-B. by the Linus Pauling Distinguished Postdoctoral Fellowship programme. The experiments that produced the data were funded by grants too numerous to list here.

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Authors and Affiliations

Authors

Contributions

The study was conceived by T.W.C. and N.W.S., and developed by T.W.C., M.A.B., K.E.O.T.-B. and W.R.W. Statistical analysis was performed by K.E.O.T.-B., M.A.B. and B.L.S. Spatial scaling and mapping were performed by W.R.W. and C.W.R. The manuscript was written by T.W.C. with assistance from C.W.R., M.A.B., W.R.W., K.E.O.T.-B., S.D.A. and P.B.R. All other authors reviewed and provided input on the manuscript. Measurements of soil C, bulk density and geospatial data from climate change experiments around the world were provided by J.C.C., M.B.M., S.F., G.Z., A.J.B., B.E., S.R., J.H., H.L., Y.L., A.M., J.P., M.E., S.D.F., G.K.-D., C.P., P.H.T., L.L.R., E.P., S.S., J.M.L., S.D.A., K.K.T., B.E., L.N.M., I.K.S., K.S.L., Y.C., F.A.D., S.D.B., S.M., S.N., A.T.C., J.M.B., J.S.C., J.G., B.R.J., J.M., L.P.-M. and P.B.R.

Corresponding author

Correspondence to T. W. Crowther.

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Competing interests

The authors declare no competing financial interests.

Additional information

Reviewer Information Nature thanks C. Jones and the other anonymous reviewer(s) for their contribution to the peer review of this work.

Extended data figures and tables

Extended Data Figure 1 Map of the study locations.

The sizes of the points represent the number of separate warming experiments at that location and the colours indicate the biomes (as delineated by The Nature Conservancy; http://www.nature.org).

Supplementary information

Supplementary Information

This file contains Supplementary Text and Data, Supplementary Figures and Supplementary Tables - see contents page for details. (PDF 3896 kb)

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Crowther, T., Todd-Brown, K., Rowe, C. et al. Quantifying global soil carbon losses in response to warming. Nature 540, 104–108 (2016). https://doi.org/10.1038/nature20150

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