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.

  • Letter
  • Published:

High sensitivity of peat decomposition to climate change through water-table feedback

Abstract

Historically, northern peatlands have functioned as a carbon sink, sequestering large amounts of soil organic carbon, mainly due to low decomposition in cold, largely waterlogged soils1,2. The water table, an essential determinant of soil-organic-carbon dynamics3,4,5,6,7,8,9,10, interacts with soil organic carbon. Because of the high water-holding capacity of peat and its low hydraulic conductivity, accumulation of soil organic carbon raises the water table, which lowers decomposition rates of soil organic carbon in a positive feedback loop. This two-way interaction between hydrology and biogeochemistry has been noted3,5,6,7,8, but is not reproduced in process-based simulations9. Here we present simulations with a coupled physical–biogeochemical soil model with peat depths that are continuously updated from the dynamic balance of soil organic carbon. Our model reproduces dynamics of shallow and deep peatlands in northern Manitoba, Canada, on both short and longer timescales. We find that the feedback between the water table and peat depth increases the sensitivity of peat decomposition to temperature, and intensifies the loss of soil organic carbon in a changing climate. In our long-term simulation, an experimental warming of 4 C causes a 40% loss of soil organic carbon from the shallow peat and 86% from the deep peat. We conclude that peatlands will quickly respond to the expected warming in this century by losing labile soil organic carbon during dry periods.

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

Figure 1: Comparisons of the simulation and the field observation in year 2003 at BOREAS OBS.
Figure 2: Changes in SOC equilibria due to an experimental warming of 4 C at BOREAS OBS.
Figure 3: A 4000-year simulation of peat SOC and peat depth at the BOREAS Fen site.
Figure 4: Transient change in the water table at the BOREAS Fen site, 2004–2099.

Similar content being viewed by others

References

  1. Gorham, E. Northern peatlands—role in the carbon-cycle and probable responses to climatic warming. Ecol. Appl. 1, 182–195 (1991).

    Article  Google Scholar 

  2. Ise, T. & Moorcroft, P. R. The global-scale temperature and moisture dependencies of soil organic carbon decomposition: An analysis using a mechanistic decomposition model. Biogeochemistry 80, 217–231 (2006).

    Article  Google Scholar 

  3. Clymo, R. S. The limits to peat bog growth. Phil. Trans. R. Soc. B. 303, 605–654 (1984).

    Article  Google Scholar 

  4. Dunn, A. L., Barford, C. C., Wofsy, S. C., Goulden, M. L. & Daube, B. C. A long-term record of carbon exchange in a boreal black spruce forest: Means, responses to interannual variability, and decadal trends. Glob. Change Biol. 13, 577–590 (2007).

    Article  Google Scholar 

  5. Anderson, R. L., Foster, D. R. & Motzkin, G. Integrating lateral expansion into models of peatland development in temperate New England. J. Ecol. 91, 68–76 (2003).

    Article  Google Scholar 

  6. Hilbert, D. W., Roulet, N. & Moore, T. Modelling and analysis of peatlands as dynamical systems. J. Ecol. 88, 230–242 (2000).

    Article  Google Scholar 

  7. Belyea, L. R. & Baird, A. J. Beyond the limits to peat bog growth: Cross-scale feedback in peatland development. Ecol. Monogr. 76, 299–322 (2006).

    Article  Google Scholar 

  8. Foster, D. R., Wright, H. E. Jr, Thelaus, M. & King, G. A. Bog development and land-form dynamics in central Sweden and south-eastern Labrador, Canada. J. Ecol. 76, 1164–1185 (1988).

    Article  Google Scholar 

  9. Frolking, S. et al. Modeling seasonal to annual carbon balance of Mer Bleue Bog, Ontario, Canada. Glob. Biogeochem. Cycles 16, 1030 (2002).

    Google Scholar 

  10. Wickland, K. P. & Neff, J. C. Decomposition of soil organic matter from boreal black spruce forest: Environmental and chemical controls. Biogeochemistry 87, 29–47 (2008).

    Article  Google Scholar 

  11. Brown, R. J. E. Proc. 3rd Int. Peat Congr. 174–181 (National Research Council of Canada, 1970).

    Google Scholar 

  12. Zoltai, S. C. Palsas and peat plateaus in central Manitoba and Saskatchewan. Can. J. Forest Res. 2, 291–302 (1972).

    Article  Google Scholar 

  13. Fenton, N., Lecomte, N., Legare, S. & Bergeron, Y. Paludification in black spruce (Picea mariana) forests of eastern Canada: Potential factors and management implications. Forest Ecol. Manage. 213, 151–159 (2005).

    Article  Google Scholar 

  14. Kump, L. R., Kasting, J. F. & Crane, R. G. The Earth System 2nd edn (Prentice Hall, 2003).

    Google Scholar 

  15. Moorcroft, P. R., Hurtt, G. C. & Pacala, S. W. A method for scaling vegetation dynamics: The ecosystem demography model (ED). Ecol. Monogr. 71, 557–585 (2001).

    Article  Google Scholar 

  16. Medvigy, D. M. The State of the Regional Carbon Cycle: Results from a Constrained Coupled Ecosystem–Atmosphere Model. PhD dissertation, Harvard Univ. (2006).

  17. Pielke, R. A. et al. A comprehensive meteorological modeling system—RAMS. Meteorol. Atmos. Phys. 49, 69–91 (1992).

    Article  Google Scholar 

  18. Parton, W. J., Schimel, D. S., Cole, C.V. & Ojima, D. S. Analysis of factors controlling soil organic matter levels in Great Plains grasslands. Soil Sci. Soc. Am. J. 51, 1173–1179 (1987).

    Article  Google Scholar 

  19. Agren, G. I. & Bosatta, E. Reconciling differences in predictions of temperature response of soil organic matter. Soil Biol. Biochem. 34, 129–132 (2002).

    Article  Google Scholar 

  20. Sellers, P. et al. The boreal ecosystem–atmosphere study (BOREAS): An overview and early results from the 1994 field year. Bull. Am. Meteorol. Soc. 76, 1549–1577 (1995).

    Article  Google Scholar 

  21. Apps, M. J. & Halliwell, D. BOREAS TE-13 biometry reports. Data set. Available online <http://www.daac.ornl.gov> from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA (1999).

  22. Carrasco, J. J., Neff, J. C. & Harden, J. W. Modeling physical and biogeochemical controls over carbon accumulation in a boreal forest soil. J. Geophys. Res. Biogeosci. 111, G02004 (2006).

    Article  Google Scholar 

  23. Cox, P. M., Betts, R. A., Jones, C. D., Spall, S. A. & Totterdell, I. J. Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model. Nature 408, 184–187 (2000).

    Article  Google Scholar 

  24. Bubier, J. L., Crill, P. M., Varner, R. K. & Moore, T. R. BOREAS TGB-01/TGB-03 CH4 chamber flux data: NSA fen. Data set. Available online <http://www.daac.ornl.gov> from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA (1998).

  25. Gordon, C. et al. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim. Dyn. 16, 147–168 (2000).

    Article  Google Scholar 

  26. Mack, M. C., Schuur, E. A. G., Bret-Harte, M. S., Shaver, G. R. & Chapin, F. S. Ecosystem carbon storage in arctic tundra reduced by long-term nutrient fertilization. Nature 431, 440–443 (2004).

    Article  Google Scholar 

  27. Suzuki, R., Masuda, K. & Dye, D. G. Interannual covariability between actual evapotranspiration and PAL and GIMMS NDVIs of northern Asia. Remote Sens. Environ. 106, 387–398 (2007).

    Article  Google Scholar 

  28. Belyea, L. R. & Malmer, N. Carbon sequestration in peatland: Patterns and mechanisms of response to climate change. Glob. Change Biol. 10, 1043–1052 (2004).

    Article  Google Scholar 

  29. Giardina, C. P., Ryan, M. G., Hubbard, R. M. & Binkley, D. Tree species and soil textural controls on carbon and nitrogen mineralization rates. Soil Sci. Soc. Am. J. 65, 1272–1279 (2001).

    Article  Google Scholar 

  30. Holland, M. M. & Bitz, C. M. Polar amplification of climate change in coupled models. Clim. Dyn. 21, 221–232 (2003).

    Article  Google Scholar 

Download references

Acknowledgements

We appreciate discussions with D. R. Foster and J. J. McCarthy. The study of T.I. was supported by the James Mills Peirce Fellowship provided by the Department of Organismic and Evolutionary Biology at Harvard University and the Innovative Program of Climate Change Projection for the 21st Century (KAKUSHIN Program) of the Ministry of Education, Culture, Sports, Science and Technology, Japan.

Author information

Authors and Affiliations

Authors

Contributions

T.I. formulated the model framework and conducted the simulations. A.L.D. and S.C.W. designed the field observations, and A.L.D. conducted the fieldwork. The land-surface model ED-RAMS is coded and maintained by P.R.M., and T.I. and P.R.M. wrote the paper. All authors discussed the results and commented on the manuscript.

Corresponding author

Correspondence to Takeshi Ise.

Supplementary information

Supplementary Information

Supplementary Information (PDF 494 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ise, T., Dunn, A., Wofsy, S. et al. High sensitivity of peat decomposition to climate change through water-table feedback. Nature Geosci 1, 763–766 (2008). https://doi.org/10.1038/ngeo331

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ngeo331

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

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