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A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes

Author:
  • J. D. Watts
  • J. S. Kimball
  • Frans-Jan Parmentier
  • T. Sachs
  • J. Rinne
  • D. Zona
  • W. Oechel
  • T. Tagesson
  • Marcin Jackowicz-Korczynski
  • M. Aurela
Publishing year: 2014
Language: English
Pages: 1961-1980
Publication/Series: Biogeosciences
Volume: 11
Issue: 7
Document type: Journal article
Publisher: Copernicus Publications

Abstract english

The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (R-eco) of carbon dioxide (CO2) and methane (CH4) emissions, but an effective framework to monitor the regional Arctic NECB is lacking. We modified a terrestrial carbon flux (TCF) model developed for satellite remote sensing applications to evaluate wetland CO2 and CH4 fluxes over pan-Arctic eddy covariance (EC) flux tower sites. The TCF model estimates GPP, CO2 and CH4 emissions using in situ or remote sensing and reanalysis-based climate data as inputs. The TCF model simulations using in situ data explained >70% of the r(2) variability in the 8 day cumulative EC measured fluxes. Model simulations using coarser satellite (MODIS) and reanalysis (MERRA) Records accounted for approximately 69% and 75% of the respective r(2) variability in the tower CO2 and CH4 records, with corresponding RMSE uncertainties of <= 1.3 gCm(-2) d(-1) (CO2) and 18.2 mg Cm-2 d(-1) (CH4). Although the estimated annual CH4 emissions were small (<18 gCm(-2) yr(-1)) relative to R-eco (>180 gCm(-2) yr(-1)), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 +/- 128 gCO(2)eqm(-2) yr(-1) when considered over a 100 year time span. This model evaluation indi-cates a strong potential for using the TCF model approach to document landscape-scale variability in CO2 and CH4 fluxes, and to estimate the NECB for northern peatland and tundra ecosystems.

Keywords

  • Physical Geography

Other

Published
  • ISSN: 1726-4189
Frans-Jan Parmentier
E-mail: frans-jan [dot] parmentier [at] nateko [dot] lu [dot] se

Associate professor

Dept of Physical Geography and Ecosystem Science

451

16

Department of Physical Geography and Ecosystem Science
Lund University
Sölvegatan 12
S-223 62 Lund
Sweden

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