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Chen, X., Liu, S., Zhu, Z., Vogelmann, J.E., Li, Z., and Ohlen, D.O., 2011, Estimating aboveground forest biomass carbon and fire consumption in the U.S. Utah High Plateaus using data from the Forest Inventory and Analysis Program, Landsat, and LANDFIRE: Ecological Indicators, v. 11, no. 1, p. 140-148

Dietze, M.C., Vargas, R., Richardson, A.D., Stoy, P.C., Barr, A.G., Anderson, R.S., Arain, M.A., Baker, I.T., Black, T.A., Chen, J.M., Ciais, P., Flanagan, L.B., Gough, C.M., Grant, R.F., Hollinger, D., Izaurralde, R.C., Kucharik, C.J., Lafleur, P., Liu, S., Lokupitiya, E., Luo, Y., Munger, J.W., Peng, C., Poulter, B., Price, D.T., Ricciuto, D.M., Riley, W.J., Sahoo, A.K., Schaefer, K., Suyker, A.E., Tian, H., Tonitto, C., Verbeeck, H., Verma, S.B., Wang, W., and Weng, E., 2011, Characterizing the performance of ecosystem models across time scales—a spectral analysis of the North American Carbon Program site-level synthesis: Journal of Geophysical Research G—Biogeosciences, v. 116, no. G4, p. G04029.

Huntzinger, D.N., Post, W.M., Wei, Y., Michalak, A.M., West, T.O., Jacobson, A.R., Baker, I.T., Chen, J.M., Davis, K.J., Hayes, D.J., Hoffman, F.M., Jain, A.K., Liu, S., McGuire, A.D., Neilson, R.P., Potter, C., Poulter, B., Price, D.T., Raczka, B.M., Tian, H.Q., Thornton, P., Tomelleri, E., Viovy, N., Xiao, J., Yuan, W., Zeng, N., Zhao, M., and Cook, R., 2012, North American Carbon Program (NACP) regional interim synthesis—terrestrial biospheric model intercomparison: Ecological Modelling, v. 232, p. 144-157.

Liu, J., Vogelmann, J.E., Zhu, Z., Key, C.H., Sleeter, B.M., Price, D.T., Chen, J.M., Cochrane, M.A., Eidenshink, J.C., Howard, S.M., Bliss, N.B., and Jiang, H., 2011, Estimating California ecosystem carbon change using process model and land cover disturbance data—1951-2000: Ecological Modelling, v. 222, no. 14, p. 2333-2341.

LandCarbon Biogeochemical Modeling

Global warming potentials (GWP) of greenhouse gas (GHG) fluxes of terrestrial ecosystems in the western United States in 2005 estimated by the USGS General Ensemble Biogeochemical Modeling System (GEMS). Negative values indicate net uptake of GHG by land, and positive values net emissions.
Global warming potentials (GWP) of greenhouse gas (GHG) fluxes of
terrestrial ecosystems in the western United States in 2005 estimated
by the USGS General Ensemble Biogeochemical Modeling System
(GEMS). Negative values indicate net uptake of GHG by land, and
positive values net emissions.
The Energy Independence and Security Act of 2007 (EISA; U.S. Congress, 2007) mandated the U.S. Department of the Interior to (1) assess potentials for carbon sequestration and reduction of greenhouse gas (GHG) (CO2, CH4, and N2O) emissions by all ecosystems under various policy, management, disturbances, and climate change scenarios, and (2) improve understanding of the spatial and temporal dimensions, uncertainty, and driving forces of carbon storage change across the country. GEMS modeling provides a critical and unique biogeochemical modeling capability in this national assessment. The biogeochemical modeling effort systematically simulates the spatial and temporal changes of carbon stocks, and fluxes of CO2, CH4, and N2O across the country at 250-m resolution from 1992 to 2050 under the impacts of major natural and anthropogenic processes (e.g., land use change, disturbances, and climate change). Model simulations are well constrained by various national benchmark observations from the ground (e.g., US Forest Service’ forest inventory and USDA Agricultural Census) and satellite observations of ecosystem processes and properties through data assimilation. Efforts are also directed to the understanding and quantitative attribution of the geography of driving forces of carbon storage change and related uncertainty.

Principal Investigator: Shuguang (Leo) Liu, sliu@usgs.gov, EROS Center, Sioux Falls, SD

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