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

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 (CO 2 ) and methane (CH 4 ) 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 CO 2 and CH 4 fluxes over pan-Arctic eddy covariance (EC) flux tower sites. The TCF model estimates GPP, CO 2 and CH 4 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 CO 2 and CH 4 records, with corresponding RMSE uncertainties of l 1.3 g C m −2 d −1 (CO 2 ) and 18.2 mg C m −2 d −1 (CH 4 ). Although the estimated annual CH 4 emissions were small ( −2 yr −1 ) relative to R eco (> 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 CO 2 eq 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 CO 2 and CH 4 fluxes, and to estimate the NECB for northern peatland and tundra ecosystems.

• Publication year

  2013

• Venue

  Biogeosciences

• Publication date

  2013-10-25

• Fields of study

  Environmental Science

• Identifiers
  DOI 10.5194/BG-11-1961-2014
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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