Assessing the impact of crops on regional CO2 fluxes and atmospheric concentrations

Article English OPEN
Corbin, K. D. ; Denning, A. S. ; Lokupitiya, E. Y. ; Schuh, A. E. ; Miles, N. L. ; Davis, K, J, ; Richardson, S. ; Baker, I. T. (2011)

Human conversion of natural ecosystems to croplands modifies not only the exchange of water and energy between the surface and the atmosphere, but also carbon fluxes. To investigate the impacts of crops on carbon fluxes and resulting atmospheric CO2 concentrations in the mid-continent region of the United States, we coupled a crop-specific phenology and physiology scheme for corn, soybean and wheat to the coupled ecosystem–atmosphere model SiB3–RAMS. Using SiBcrop–RAMS improved carbon fluxes at the local scale and had regional impacts, decreasing the spring uptake and increasing the summer uptake over the mid-continent. The altered fluxes changed the mid-continent atmospheric CO2 concentration field at 120 m compared to simulations without crops: concentrations increased in May and decreased >20 ppm during July and August, summer diurnal cycle amplitudes increased, synoptic variability correlations improved and the gradient across the mid-continent region increased. These effects combined to reduce the squared differences between the model and high-precision tower CO2 concentrations by 20%. Synoptic transport of the large-scale N–S gradient caused significant day-to-day variability in concentration differences measured between the towers. This simulation study shows that carbon exchange between crops and the atmosphere significantly impacts regional CO2 fluxes and concentrations.DOI: 10.1111/j.1600-0889.2010.00485.x
  • References (36)
    36 references, page 1 of 4

    Andrews, A. E., Kofler, J. D., Bakwin, P. S., Zhao, C. and Tans, P. 2009. Carbon dioxide and carbon monoxide dry air mole fractions from the NOAA ESRL tall tower network, 1992-2009. Version: 2009-05-12, ftp://ftp.cmdl.noaa.gov/ccg/towers/.

    Baker, I. T. and Denning, A. S. 2008. SiB3 modeled global 1-degree hourly biosphere-atmosphere carbon flux, 1998-2006. In: Data set. Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN, USA, http://daac.ornl.gov/.

    Baldocchi, D., Falge, E., Gu, L. H., Olson, R., Hollinger, D. and coauthors. 2001. FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. B. Am. Meteor. Soc. 82, 2415-2434.

    Betts, R. A. 2005. Integrated approaches to climate-crop modelling: needs and challenges. Phil. Trans. R. Soc. B 360, 2049-2065, doi:10/1098/rstb.2005.1739.

    Bonan, G. B. 1997. Effects of land use on the climate of the United States. Climatic Change 37, 449-486.

    Bondeau, A., Smith, P. C., Zaehle, S., Schaphoff, S., Lucht, W. and coauthors. 2007. Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biol. 13, 679-706, doi:10.1111/j.1365-2486.2006.01305.x.

    Copeland, J. H., Pielke, R. A. and Kittel, T. G. F. 1996. Potential climatic impacts of vegetation change: a regional modeling study. J. Geophys. Res.-Atmos 101(D3), 7409-7418.

    Corbin, K. D., Denning, A. S., Lu, L., Wang, J.-W. and Baker, I. T. 2008. Using a high resolution coupled ecosystem-atmosphere model to estimate representation errors in inversions of satellite CO2 retrievals. J. Geophys. Res.-Atmos 113(D02301), doi:10.1029/2007JD008716.

    Crosson, E. R. 2008. A cavity ring-down analyzer for measuring atmospheric levels of methane, carbon dioxide, and water vapor. Appl. Phys. B 92(3), 403-408.

    Denning, A. S., Nicholls, M., Prihodko, L., Baker, I. T., Vidale, P.-L. and co-authors. 2003. Simulated variations in atmospheric CO2 over a Wisconsin forest using a coupled ecosystem-atmosphere model. Global Change Biol. 9, 1241-1250.

  • Related Research Results (1)
  • Similar Research Results (1)
  • Metrics
    No metrics available
Share - Bookmark