, Volume 22, Issue 6, pp 1381–1392 | Cite as

Boreal Forest Floor Greenhouse Gas Emissions Across a Pleurozium schreberi-Dominated, Wildfire-Disturbed Chronosequence

  • Kelly E. MasonEmail author
  • Simon Oakley
  • Lorna E. Street
  • María Arróniz-Crespo
  • David L. Jones
  • Thomas H. DeLuca
  • Nicholas J. Ostle


The boreal forest is a globally critical biome for carbon cycling. Its forests are shaped by wildfire events that affect ecosystem properties and climate feedbacks including greenhouse gas (GHG) emissions. Improved understanding of boreal forest floor processes is needed to predict the impacts of anticipated increases in fire frequency, severity, and extent. In this study, we examined relationships between time since last wildfire (TSF), forest floor soil properties, and GHG emissions (CO2, CH4, N2O) along a Pleurozium schreberi-dominated chronosequence in mid- to late succession located in northern Sweden. Over three growing seasons in 2012–2014, GHG flux measurements were made in situ and samples were collected for laboratory analyses. We predicted that P. schreberi-covered forest floor GHG fluxes would be related to distinct trends in the soil properties and microbial community along the wildfire chronosequence. Although we found no overall effect of TSF on GHG emissions, there was evidence that soil C/N, one of the few properties to show a trend with time, was inversely linked to ecosystem respiration. We also found that local microclimatic conditions and site-dependent properties were better predictors of GHG fluxes than TSF. This shows that site-dependent co-variables (that is, forest floor climate and plant-soil properties) need to be considered as well as TSF to predict GHG emissions as wildfires become more frequent, extensive and severe.


boreal forest wildfire disturbance greenhouse gas emissions carbon dynamics forest floor chronosequence 



Funding for this research was provided by the Natural Environment Research Council, UK. We would like to thank T. N. Walker, P. A. Henrys, and S. G. Jarvis for their guidance in statistical analyses and use of R software, and Matt Clifford for his assistance in the laboratory analyses. Special thanks to the kind staff at the Silvermuseet in Arjeplog for letting us share their space.


Funding was provided by Natural Environment Research Council (Grant No. NE/I027037/1).

Supplementary material

10021_2019_344_MOESM1_ESM.docx (338 kb)
Supplementary material 1 (DOCX 338 kb)


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Kelly E. Mason
    • 1
    Email author
  • Simon Oakley
    • 1
  • Lorna E. Street
    • 2
  • María Arróniz-Crespo
    • 3
    • 4
  • David L. Jones
    • 4
  • Thomas H. DeLuca
    • 5
  • Nicholas J. Ostle
    • 6
  1. 1.Centre for Ecology & Hydrology, Lancaster Environment CentreBailriggUK
  2. 2.School of GeoSciencesUniversity of EdinburghEdinburghUK
  3. 3.Departamento de Química y Tecnología de AlimentosUniversidad Politécnica de MadridMadridSpain
  4. 4.School of Environment, Natural Resources and GeographyBangor UniversityBangorUK
  5. 5.WA Frank College of Forestry and ConservationUniversity of MontanaMissoulaUSA
  6. 6.Lancaster Environment CentreLancaster UniversityLancasterUK

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