Select from available options to download raster data in GeoTIFF format. The full raster extent can be subset in one of three ways from the Extent button on the map.
When uploading a file or selecting an ecoregion the raster data will be masked outside of the polygon boundary.
Uncertainties that exist in the data products are the results of the estimation and projection methods used for the assessment. Major sources of uncertainties for baseline (1992-2005) data products include assumptions made in structure and parameterization of specific methods and models used in the assessment, relations and integration of these methods and models, and input data availability and quality. The use of land- and climate-change scenarios in the assessment, as part of the carbon modeling, is an additional source of uncertainty for the projected (2006-2050) data products.
Because of the specific methods used in the assessment, the uncertainties are distributed both in temporal and spatial dimensions and they vary by product, location, and specific use. Along the temporal dimensions, mean values of baseline and projection years should be used instead of any given individual years. Along the spatial dimensions, data aggregated to the scale of ecoregions should be used instead of the individual pixels or over relatively small areas of the maps. In addition, the available multiple models and scenarios provide users with ranges of values for a given estimate, which may be used as a means of quantifying the spread of uncertainties.
Biomass carbon includes carbon stored in above- and below-ground live plant components (such as leaf, branch, stem and root) as well as in standing and down dead woody debris, and fine litter. For the western United States, total live and dead biomass carbon during the baseline period (2001–2005) was estimated to be between 5048-5927 Tg C and 1867-4178 Tg C, respectively, and is predicted to increase to 5806-7373 Tg C and 2192-4462 Tg C, respectively, in 2050.
Zhu, Zhiliang, ed., Bergamaschi, Brian, Bernknopf, Richard, Clow, David, Dye, Dennis, Faulkner, Stephen, Forney, William, Gleason, Robert, Hawbaker, Todd, Liu, Jinxun, Liu, Shuguang, Prisley, Stephen, Reed, Bradley, Reeves, Matthew, Rollins, Matthew, Sleeter, Benjamin, Sohl, Terry, Stackpoole, Sarah, Stehman, Stephen, Striegl, Robert, Wein, Anne, and Zhu, Zhiliang, 2010, A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios: U.S. Geological Survey Scientific Investigations Report 2010–5233, 188 p. (Available from USGS).
The temporal and spatial dynamics of biomass carbon were estimated using the USGS General Ensemble Biogeochemical Modeling System (GEMS), which involved three models (Paint-By-Number (PBN) model, CENTURY, and EDCM), under three land use and land cover change (LULCC) scenarios developed in accordance with storylines A1B, A2, or B1 from the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (IPCC–SRES) and climate-change projections by three general circulation models (GCMs). Forest biomass initialization was based on data from the U.S. Department of Agriculture (USDA) Forest Service’s Forest Inventory and Analysis (FIA), and biomass initializations for grassland and shrubland were based on maps generated from synthesized field observations. Biomass carbon dynamics, by component pools such as branch, stem, and coarse root, were simulated considering land cover change and disturbances (e.g., forest logging, deforestation, fire, crop species rotation), ecosystem-specific information such as mortality and growth rates, and climate conditions. PBN only accounts for the impacts of land cover change on biomass carbon, while CENTURY and EDCM consider other impacts as well (e.g., climate and atmospheric change, and disturbances). Model outputs for the baseline period were calibrated with alternative forest biomass maps, MODIS NPP products, and grain yield at the county level.