Cited by 90Peatlands and Wetlands EcologyFire effects on ecosystemsClimate change and permafrost

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Mitigating wildfire carbon loss in managed northern peatlands through restoration

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Abstract

Northern peatlands can emit large amounts of carbon and harmful smoke pollution during a wildfire. Of particular concern are drained and mined peatlands, where management practices destabilize an array of ecohydrological feedbacks, moss traits and peat properties that moderate water and carbon losses in natural peatlands. Our results demonstrate that drained and mined peatlands in Canada and northern Europe can experience catastrophic deep burns (>200 t C ha−1 emitted) under current weather conditions. Furthermore, climate change will cause greater water losses in these peatlands and subject even deeper peat layers to wildfire combustion. However, the rewetting of drained peatlands and the restoration of mined peatlands can effectively lower the risk of these deep burns, especially if a new peat moss layer successfully establishes and raises peat moisture content. We argue that restoration efforts are a necessary measure to mitigate the risk of carbon loss in managed peatlands under climate change.

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Figure 1 Absolute difference of average annual maximum water deficit, in mm, for North America (left) and Europe (right) between the periods 1981–2000 and 2041–2060 for the RCP 8.5 emission scenario generated from Canadian Regional Climate Model (CRCM 4, Canadian Centre for Climate Modelling and Analysis, Environment Canada; URL: http://www.cccma.ec.gc.ca/data/canrcm/CanRCM4/index_cordex.shtml; accessed: Oct.16, 2015). Red colour indicates less water available in 2041–2060. Resolution 0.44 × 0.44 grid spacing. Map was generated using Matlab R2010a v.7.1. software.
Figure 1 Absolute difference of average annual maximum water deficit, in mm, for North America (left) and Europe (right) between the periods 1981–2000 and 2041–2060 for the RCP 8.5 emission scenario generated from Canadian Regional Climate Model (CRCM 4, Canadian Centre for Climate Modelling and Analysis, Environment Canada; URL: http://www.cccma.ec.gc.ca/data/canrcm/CanRCM4/index_cordex.shtml; accessed: Oct.16, 2015). Red colour indicates less water available in 2041–2060. Resolution 0.44 × 0.44 grid spacing. Map was generated using Matlab R2010a v.7.1. software.CC BY · PubMed Central
Figure 2 Mean bulk density (ρb) profiles for five areas in Finland and five peatlands in Canada. Natural and drained profiles were obtained from each peatland except for two peatlands in Canada where only a drained profile is included. The mined and the restored peat profiles furthest to the right below 20 cm are from the same site. The two climate types (Dfb = warm summer continental or hemiboreal, Dfc = continental subarctic or boreal) are according to the Köoppen-Geiger climate type.
Figure 2 Mean bulk density (ρb) profiles for five areas in Finland and five peatlands in Canada. Natural and drained profiles were obtained from each peatland except for two peatlands in Canada where only a drained profile is included. The mined and the restored peat profiles furthest to the right below 20 cm are from the same site. The two climate types (Dfb = warm summer continental or hemiboreal, Dfc = continental subarctic or boreal) are according to the Köoppen-Geiger climate type.CC BY · PubMed Central
Figure 3 Lower panel shows the distribution of maximum cumulative water deficit for continental (C, red) and maritime (M, blue) climate locations in North America (NA) (NA-M Saint Charles de Bellechasse, QC; NA-C Athabasca, AB) and Europe (EU) (EU-C Moscow, RU; EU-M Fajemyr, SE) under an historical (H: 1981–2000) and future (F: 2041–2060) climate change scenario (CRCM4, RCP8.5). Upper panel shows the simulated effect of peatland management on maximum water table (WT) drawdown based on average water deficit and idealized specific yield profiles for a maritime and continental bog with an average spring water table position at the surface. Specific yield (Sy) is the depth of water that must be added to or removed from a soil column in order to cause a unit rise or fall in the WT. Specific yield is directly linked to peat bulk density (ρb) through pore space and moisture retention characteristics. Restored points with and without a black dot correspond to a restored Sphagnum/peat layer of 28 and 12 cm, respectively (maritime 28 cm restored omitted for clarity). The grayscale represents the change in WT position and the distance between points within the same climate zone illustrate the effect of the management practices on WT change.
Figure 3 Lower panel shows the distribution of maximum cumulative water deficit for continental (C, red) and maritime (M, blue) climate locations in North America (NA) (NA-M Saint Charles de Bellechasse, QC; NA-C Athabasca, AB) and Europe (EU) (EU-C Moscow, RU; EU-M Fajemyr, SE) under an historical (H: 1981–2000) and future (F: 2041–2060) climate change scenario (CRCM4, RCP8.5). Upper panel shows the simulated effect of peatland management on maximum water table (WT) drawdown based on average water deficit and idealized specific yield profiles for a maritime and continental bog with an average spring water table position at the surface. Specific yield (Sy) is the depth of water that must be added to or removed from a soil column in order to cause a unit rise or fall in the WT. Specific yield is directly linked to peat bulk density (ρb) through pore space and moisture retention characteristics. Restored points with and without a black dot correspond to a restored Sphagnum/peat layer of 28 and 12 cm, respectively (maritime 28 cm restored omitted for clarity). The grayscale represents the change in WT position and the distance between points within the same climate zone illustrate the effect of the management practices on WT change.CC BY · PubMed Central
Figure 4 Combustion risk, expressed as the quotient between energy release (Hcomb) and energy required for ignition (Hign) between successive 5 cm peat layers, for various peatland types at water table (WT) depths of: (i) 40 cm, which is a typical WT in drained peatlands; (ii) 80 cm, which is a more extreme scenario supported by the difference in WT decline in drained peatlands between wetter and drier climatic zones; and (iii) 25 cm, which represents a rewetting scenario close to natural conditions. An Hcomb/Hign quotient <1 indicates that the combustion risk is zero (i.e. downward smouldering propagation ceases), but a more realistic cut-off is between 1–1.5.
Figure 4 Combustion risk, expressed as the quotient between energy release (Hcomb) and energy required for ignition (Hign) between successive 5 cm peat layers, for various peatland types at water table (WT) depths of: (i) 40 cm, which is a typical WT in drained peatlands; (ii) 80 cm, which is a more extreme scenario supported by the difference in WT decline in drained peatlands between wetter and drier climatic zones; and (iii) 25 cm, which represents a rewetting scenario close to natural conditions. An Hcomb/Hign quotient <1 indicates that the combustion risk is zero (i.e. downward smouldering propagation ceases), but a more realistic cut-off is between 1–1.5.CC BY · PubMed Central
Figure 5 The effect of drainage, mining, rewetting and restoration on relative bulk density and gravimetric water content in peatlands. (a–c) Illustrate the impact of mining (drainage with the top peat layer removed) on a natural peatland and the response of restoration (rewetting and the establishment of a Sphagnum moss layer). (d–f) Illustrate the impact of drainage for forestry on a natural peatland and the response of tree removal and rewetting. These scenarios do not include non-Sphagnum dominated peatlands such as rich fens but see text for discussion.
Figure 5 The effect of drainage, mining, rewetting and restoration on relative bulk density and gravimetric water content in peatlands. (a–c) Illustrate the impact of mining (drainage with the top peat layer removed) on a natural peatland and the response of restoration (rewetting and the establishment of a Sphagnum moss layer). (d–f) Illustrate the impact of drainage for forestry on a natural peatland and the response of tree removal and rewetting. These scenarios do not include non-Sphagnum dominated peatlands such as rich fens but see text for discussion.CC BY · PubMed Central

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Research works printed but not linked: 57

  1. Yu, Z. C. Northern peatland carbon stocks and dynamics: a review. Biogeosciences 9, 4071–4085 (2012). · DOI
  2. Waddington, J. M. et al. Hydrological feedbacks in northern peatlands. Ecohydrology 8, 113–127 (2015). · DOI
  3. Moore, T. R., Bubier, J. L. & Bledzki, L. Litter Decomposition in temperate peatland ecosystems: The effect of substrate and site. Ecosystems 10, 949–963 (2007). · DOI
  4. Rydin, H. & Jeglum, J. K. The Biology of Peatlands, 2nd edn (Oxford University Press Inc., New York, 2013). · DOI
  5. Shetler, G., Turetsky, M. R., Kane, E. & Kasischke, E. Sphagnum mosses limit total carbon consumption during fire in Alaskan black spruce forests. Canadian Journal of Forest Research 38, 2328–2336 (2008). · DOI
  6. Turetsky, M., Wieder, K., Halsey, L. & Vitt, D. Current disturbance and the diminishing peatland carbon sink. Geophysical Research Letters 29, 21.1–21.4 (2002). · DOI
  7. Benscoter, B. W. & Wieder, R. K. Variability in organic matter lost by combustion in a boreal bog during the 2001 Chisholm fire. Canadian Journal of Forest Research 33, 2509–2513 (2003). · DOI
  8. Pitkänen, A., Turunen, J. & Tolonen, K. The role of fire in the carbon dynamics of a mire, eastern Finland. The Holocene 9, 453–462 (1999). · DOI
  9. Wieder, R. K. et al. Postfire carbon balance in boreal bogs of Alberta, Canada. Global Change Biology 15, 63–81 (2009). · DOI
  10. Turetsky, M. R., Donahue, W. F. & Benscoter, B. W. Experimental drying intensifies burning and carbon losses in a northern peatland. Nature Communications 2, 514 (2011). · DOI
  11. Lavoie, C. & Pellerin, S. Fires in temperate peatlands (southern Quebec): past and recent trends. Canadian Journal of Botany 85, 263–272 (2007). · DOI
  12. Magnan, G., Lavoie, M. & Payette, S. Impact of fire on long-term vegetation dynamics of ombrotrophic peatlands in northwestern Québec, Canada. Quaternary Research 77, 110–121 (2012). · DOI
  13. Reddy, A. D. et al. Quantifying soil carbon loss and uncertainty from a peatland wildfire using multi-temporal LiDAR. Remote Sensing of Environment 170, 306–316 (2015). · DOI
  14. van der Werf, G. R. et al. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009). Atmos. Chem. Phys. 10, 11707–11735 (2010). · DOI
  15. Yule, C. M. Loss of biodiversity and ecosystem functioning in Indo-Malayan peat swamp forests. Biodiversity and Conservation 19, 393–409 (2008). · DOI
  16. Sahani, M. et al. A case-crossover analysis of forest fire haze events and mortality in Malaysia. Atmospheric Environment 96, 257–265 (2014). · DOI
  17. Shaposhnikov, D. et al. Mortality related to air pollution with the Moscow heat wave and wildfire of 2010. Epidemiology (Cambridge, Mass.) 25, 359–364 (2014). · DOI
  18. Flannigan, M., Stocks, B., Turetsky, M. & Wotton, M. Impacts of climate change on fire activity and fire management in the circumboreal forest. Global Change Biology 15, 549–560 (2009). · DOI · Paper page
  19. Turetsky, M. R., Amiro, B. D., Bosch, E. & Bhatti, J. S. Historical burn area in western Canadian peatlands and its relationship to fire weather indices. Global Biogeochemical Cycles 18, GB4014 (2004). · DOI
  20. Benscoter, B. W. et al. Interactive effects of vegetation, soil moisture and bulk density on depth of burning of thick organic soils. International Journal of Wildland Fire 20, 418–429 (2011). · DOI
  21. Thompson, D. K., Wotton, B. M. & Waddington, J. M. Estimating the heat transfer to an organic soil surface during crown fire. International Journal of Wildland Fire 24, 120 (2015). · DOI
  22. Loisel, J. et al. A database and synthesis of northern peatland soil properties and Holocene carbon and nitrogen accumulation. The Holocene 24, 1028–1042 (2014). · DOI
  23. Paavilainen, E. & Päivänen, J. Peatland forestry. Ecology and principles. Ecological Studies 111 (Springer-Verlag, Berlin, 1995). · DOI · Paper page
  24. Lieffers, V. J. & Rothwell, R. L. Rooting of peatland black spruce and tamarack in relation to depth of water table. Canadian Journal of Botany 65, 817–821 (1987). · DOI
  25. Johnston, D., Turetsky, M., Benscoter, B. & Wotton, B. Fuel load, structure, and potential fire behaviour in black spruce bogs. Canadian Journal of Forest Research 45, 888–899 (2015). · DOI
  26. Komulainen, V.-M., Tuittila, E.-S., Vasander, H. & Laine, J. Restoration of drained peatlands in southern Finland: initial effects on vegetation change and CO2 balance. Journal of Applied Ecology 36, 634–648 (1999). · DOI
  27. Waddington, J. et al. Examining the utility of the Canadian Forest Fire Weather Index System in boreal peatlands. Canadian Journal of Forest Research 42, 47–58 (2011). · DOI
  28. Davies, G. M., Gray, A., Rein, G. & Legg, C. J. Peat consumption and carbon loss due to smouldering wildfire in a temperate peatland. Forest Ecology and Management 308, 169–177 (2013). · DOI
  29. Minkkinen, K. & Laine, J. Effect of forest drainage on the peat bulk density of pine mires in Finland. Canadian Journal of Forest Research 28, 178–186 (1998). · DOI
  30. Kettridge, N. et al. Moderate drop in water table increases peatland vulnerability to post-fire regime shift. Scientific Reports 5, 8063 (2015). · DOI
  31. Rochefort, L., Quinty, F., Campeau, S., Johnson, K. & Malterer, T. North American approach to the restoration of Sphagnum dominated peatlands. Wetlands Ecology and Management 11, 3–20 (2003). · DOI
  32. McCarter, C. P. & Price, J. The hydrology of the BoisdesBel peatland restoration: hydrophysical properties limiting connectivity between regenerated Sphagnum and remnant vacuum harvested peat deposit. Ecohydrology 8, 173–187 (2015). · DOI
  33. Price, J. Soil moisture, water tension, and water table relationships in a managed cutover bog. Journal of Hydrology 202, 21–32 (1997). · DOI
  34. Haapalehto, T. O., Vasander, H., Jauhiainen, S., Tahvanainen, T. & Kotiaho, J. S. The effects of peatland restoration on water-table depth, elemental concentrations, and vegetation: 10 years of changes. Restoration Ecology 19, 587–598 (2011). · DOI
  35. Hedberg, P. et al. Vegetation recovery after multiple-site experimental fen restorations. Biological Conservation 147, 60–67 (2012). · DOI
  36. Kettridge, N. et al. The ecohydrology of forested peatlands: Simulating the effects of tree shading on moss evaporation and species composition. Journal of Geophysical Research: Biogeosciences 118, 422–435 (2013). · DOI
  37. Lucchese, M. et al. Organic matter accumulation in a restored peatland: Evaluating restoration success. Ecological Engineering 36, 482–488 (2010). · DOI
  38. Holden, J., Wallage, Z. E., Lane, S. N. & McDonald, A. T. Water table dynamics in undisturbed, drained and restored blanket peat. Journal of Hydrology 402, 103–114 (2011). · DOI
  39. Goetz, J. D. & Price, J. S. Ecohydrological controls on water distribution and productivity of moss communities in western boreal peatlands, Canada. Ecohydrology 9, 138–152 (2016). · DOI
  40. Tanneberger, F. & Wichtmann, W. (eds.) Carbon credits from peatland rewetting: climate–biodiversity–land use; science, policy, implementation and recommendations of a pilot project in Belarus (Schweizerbart, Stuttgart, 2011).
  41. Music, B. & Caya, D. Evaluation of the hydrological cycle over the Mississippi River basin as simulated by the Canadian Regional Climate Model (CRCM). Journal of Hydrometeorology 8, 969–988 (2007). · DOI
  42. Collins, M. et al. Long-term climate change: projections, commitments and irreversibility. Pages 1029 to 1076. In Intergovernmental Panel on Climate Change (ed.) Climate Change 2013–The Physical Science Basis, 1029–1136 (Cambridge University Press, Cambridge, http://ebooks.cambridge.org/ref/id/CBO9781107415324A0322014). (Date of access: 01/05/2016).
  43. Shuttleworth, W. J. Evaporation. In Maidment, D. R. (ed.) Handbook of hydrology (McGraw-Hill, United States, 1993).
  44. Admiral, S. W., Lafleur, P. M. & Roulet, N. T. Controls on latent heat flux and energy partitioning at a peat bog in eastern Canada. Agricultural and Forest Meteorology 140, 308–321 (2006). · DOI
  45. Moore, P. A., Pypker, T. G. & Waddington, J. M. Effect of long-term water table manipulation on peatland evapotranspiration. Agricultural and Forest Meteorology 178–179, 106–119 (2013). · DOI
  46. Baldocchi, D. et al. FLUXNET: A new tool to study the temporal and spatial variability of ecosystem–scale carbon dioxide, water vapor, and energy flux densities. Bulletin of the American Meteorological Society 82, 2415–2434 (2001). · DOI
  47. Gong, J. et al. Modeling water table changes in boreal peatlands of Finland under changing climate conditions. Ecological modelling 244, 65–78 (2012). · DOI
  48. Wilson, D. et al. Rewetting of cutaway peatlands: are we re-creating hot spots of methane emissions? Restoration Ecology 17, 796–806 (2009). · DOI
  49. Shantz, M. A. & Price, J. S. Hydrological changes following restoration of the Bois-des-Bel Peatland, Quebec, 1999–2002. Journal of Hydrology 331, 543–553 (2006). · DOI
  50. Ketcheson, S. J. & Price, J. S. Characterization of the fluxes and stores of water within newly formed Sphagnum moss cushions and their environment. Ecohydrology 7, 771–782 (2014). · DOI
  51. Taylor, N. & Price, J. Soil water dynamics and hydrophysical properties of regenerating Sphagnum layers in a cutover peatland. Hydrological Processes 29, 3878–3892 (2015). · DOI
  52. Moore, P., Morris, P. & Waddington, J. Multi-decadal water table manipulation alters peatland hydraulic structure and moisture retention. Hydrological Processes 29, 2970–2982 (2015). · DOI
  53. Huang, X., Rein, G. & Chen, H. Computational smoldering combustion: Predicting the roles of moisture and inert contents in peat wildfires. Proceedings of the Combustion Institute 35, 2673–2681 (2015). · DOI
  54. Prat-Guitart, N., Rein, G., Hadden, R. M., Belcher, C. M. & Yearsley, J. M. Effects of spatial heterogeneity in moisture content on the horizontal spread of peat fires. Science of The Total Environment, 10.1016/j.scitotenv.2016.02.145 (2016). · DOI
  55. Lukenbach, M. C. et al. Hydrological controls on deep burning in a northern forested peatland. Hydrological Processes 29, 4114–4124 (2015). · DOI
  56. Schneller, M. & Frandsen, W. A stirred water calorimeter for measuring heat flux from smoldering combustion. International Journal of Wildland Fire 8, 129–135 (1998). · DOI
  57. Frandsen, W. Heat flow measurements from smoldering porous fuel. International Journal of Wildland Fire 8, 137–145 (1998). · DOI

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    “In rainforests and wetlands, where wet conditions usually slow or stop the spread of fires, unusually dry conditions will lead to destructive fires impacting surface waters with sediment, carbon compounds, and toxic metals (Abraham et al., 2017; Granath et al., 2016).”
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Metadata

Authors
Granath, G., Moore, P. A., Lukenbach, M. C., & Waddington, J. M.
Affiliations
  • Swedish University of Agricultural Sciences (SE)
  • McMaster University (CA)
Corresponding author
Granath, Gustaf
Venue
Scientific Reports
Published
2016-06-27
Volume
6
Issue
1
Pages
28498-28498
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2471374840
Cited by
90
References
2
Citations by year
2026: 8 · 2025: 3 · 2024: 11 · 2023: 13 · 2022: 13 · 2021: 24 · 2020: 9 · 2019: 3 · 2018: 4 · 2017: 1 · 2016: 1
FWCI
2.62
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
Natural Sciences and Engineering Research Council of Canada
Topics
  • Physical Sciences › Environmental Science › Ecology › Peatlands and Wetlands Ecology
  • Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Climate change and permafrost
Keywords
northern peatlands, drained peatlands, peatland restoration, rewetting, peat moss, peat moisture content, ecohydrological feedbacks, climate change impacts, smoke pollution, CO2 emissions

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