Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Biogeosciences, 11, 1961-1980, 2014
https://doi.org/10.5194/bg-11-1961-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
09 Apr 2014
A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes
J. D. Watts1,2, J. S. Kimball1,2, F. J. W. Parmentier3, T. Sachs4, J. Rinne5, D. Zona6,7, W. Oechel7, T. Tagesson8, M. Jackowicz-Korczyński3, and M. Aurela9 1Flathead Lake Biological Station, The University of Montana, 32125 Bio Station Lane, Polson, MT, USA
2Numerical Terradynamic Simulation Group, CHCB 428, 32 Campus Drive, The University of Montana, Missoula, MT, USA
3Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62, Lund, Sweden
4Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
5Department of Geosciences and Geography; Department of Physics, P.O. Box 64, 00014 University of Helsinki, Finland
6Department of Animal and Plant Science, University of Sheffield, Sheffield, UK
7Department of Biology, San Diego State University, San Diego, CA, USA
8Department of Geography and Geology, Copenhagen University, Øster Voldgade 10, 1350 Copenhagen, Denmark
9Finnish Meteorological Institute, Climate Change Research, P.O. Box 503, 00101, Helsinki, Finland
Abstract. The northern terrestrial net ecosystem carbon balance (NECB) is contingent on inputs from vegetation gross primary productivity (GPP) to offset the ecosystem respiration (Reco) 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 r2 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 r2 variability in the tower CO2 and CH4 records, with corresponding RMSE uncertainties of ≤ 1.3 g C m−2 d−1 (CO2) and 18.2 mg C m−2 d−1 (CH4). Although the estimated annual CH4 emissions were small (< 18 g C m−2 yr−1) relative to Reco (> 180 g C m−2 yr−1), they reduced the across-site NECB by 23% and contributed to a global warming potential of approximately 165 ± 128 g CO2eq m−2 yr−1 when considered over a 100 year time span. This model evaluation indicates 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.

Citation: Watts, J. D., Kimball, J. S., Parmentier, F. J. W., Sachs, T., Rinne, J., Zona, D., Oechel, W., Tagesson, T., Jackowicz-Korczyński, M., and Aurela, M.: A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes, Biogeosciences, 11, 1961-1980, https://doi.org/10.5194/bg-11-1961-2014, 2014.
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