4.7 Article

Small spatial variability in methane emission measured from a wet patterned boreal bog

Journal

BIOGEOSCIENCES
Volume 15, Issue 6, Pages 1749-1761

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/bg-15-1749-2018

Keywords

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Funding

  1. faculty of Science and Forestry, University of Eastern Finland
  2. Academy of Finland [287039, CARB-ARC 285630]
  3. Academy of Finland Centre of Excellence [118780]
  4. Academy Professor projects [1284701, 1282842]
  5. ICOS-Finland [281255]
  6. Finnish Cultural Foundation

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We measured methane fluxes of a patterned bog situated in Siikaneva in southern Finland from six different plant community types in three growing seasons (2012-2014) using the static chamber method with chamber exposure of 35 min. A mixed-effects model was applied to quantify the effect of the controlling factors on the methane flux. The plant community types differed from each other in their water level, species composition, total leaf area (LAI(TOT)) and leaf area of aerenchymatous plant species (LAI(AER)). Methane emissions ranged from -309 to 1254 mg m(-2) d(-1). Although methane fluxes increased with increasing peat temperature, LAI(TOT) and LAI(AER), they had no correlation with water table or with plant community type. The only exception was higher fluxes from hummocks and high lawns than from high hummocks and bare peat surfaces in 2013 and from bare peat surfaces than from high hummocks in 2014. Chamber fluxes upscaled to ecosystem level for the peak season were of the same magnitude as the fluxes measured with the eddy covariance (EC) technique. In 2012 and in August 2014 there was a good agreement between the two methods; in 2013 and in July 2014, the chamber fluxes were higher than the EC fluxes. Net fluxes to soil, indicating higher methane oxidation than production, were detected every year and in all community types. Our results underline the importance of both LAI(AER) and LAI(TOT) in controlling methane fluxes and indicate the need for automatized chambers to reliably capture localized events to support the more robust EC method.

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