These datasets represent the projected future majority vegetation type (30 year mode), for each HUC5 watershed, simulated by the model MC1 for the 30-year period 2071-2100. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario.
Majority vegetation type was determined for each HUC5 watershed by calculating the 30 year mode from original ~ 4 km raster data. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service.
Background: The dynamic global vegetation model MC1 (see Bachelet et al.2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, a nd wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW09-JV-11261900-003).
The MC1 model was run using historical data and future climate change projections from three general circulation models: CSIRO Mk3, MIROC 3.2 medres, and Hadley CM3. Future scenario datasets were generated through statistical downscaling using a simple anomaly method. Historical climate input data were provided by the PRISM group (Chris Daly, Oregon State University) at a 30 arc-second (~800 m) spatial grain.
This project was funded through the U.S. Forest Service by the American Recovery and Reinvestment Act and also in part by the Western Wildland Environmental Threat Center.
