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Glob Chang Biol. 2018 Sep;24(9):3976-3989. doi: 10.1111/gcb.14289. Epub 2018 May 24.

Toward understanding the contribution of waterbodies to the methane emissions of a permafrost landscape on a regional scale-A case study from the Mackenzie Delta, Canada.

Author information

1
GFZ German Research Centre for Geosciences, Potsdam, Germany.
2
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany.
3
GIScience, Department of Geography, Heidelberg University, Heidelberg, Germany.
4
National Ecological Observatory Network, Battelle, Boulder, Colorado.
5
Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin.
6
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.
7
Institute of Flight Guidance, TU Braunschweig, Braunschweig, Germany.

Abstract

Waterbodies in the arctic permafrost zone are considered a major source of the greenhouse gas methane (CH4 ) in addition to CH4 emissions from arctic wetlands. However, the spatio-temporal variability of CH4 fluxes from waterbodies complicates spatial extrapolation of CH4 measurements from single waterbodies. Therefore, their contribution to the CH4 budget of the arctic permafrost zone is not yet well understood. Using the example of two study areas of 1,000 km² each in the Mackenzie Delta, Canada, we approach this issue (i) by analyzing correlations on the landscape scale between numerous waterbodies and CH4 fluxes and (ii) by analyzing the influence of the spatial resolution of CH4 flux data on the detected relationships. A CH4 flux map with a resolution of 100 m was derived from two aircraft eddy-covariance campaigns in the summers of 2012 and 2013. We combined the CH4 flux map with high spatial resolution (2.5 m) waterbody maps from the Permafrost Region Pond and Lake Database and classified the waterbody depth based on Sentinel-1 SAR backscatter data. Subsequently, we reduced the resolution of the CH4 flux map to analyze if different spatial resolutions of CH4 flux data affected the detectability of relationships between waterbody coverage, number, depth, or size and the CH4 flux. We did not find consistent correlations between waterbody characteristics and the CH4 flux in the two study areas across the different resolutions. Our results indicate that waterbodies in permafrost landscapes, even if they seem to be emission hot spots on an individual basis or contain zones of above average emissions, do currently not necessarily translate into significant CH4 emission hot spots on a regional scale, but their role might change in a warmer climate.

KEYWORDS:

CH 4 ; Arctic; Sentinel-1; TerraSAR-X; airborne eddy-covariance; lakes; ponds; remote sensing

PMID:
29697179
DOI:
10.1111/gcb.14289
[Indexed for MEDLINE]

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