Change in the fraction of total live vegetation carbon held in herbaceous plants between 1971-2000 and 2071-2000, as simulated by MC1 under CSIRO Mk3 A2 for the eastern Oregon study area, Oregon, USA
Dates
Original Data Basin Creation Date
2011-05-06 05:53:46
Original Data Basin Modified Date
2011-09-28 07:35:15
Summary
This map represents the change between 1971-2000 and 2071-2100 in the annual peak fraction of total live vegetation carbon held in herbaceous plants, as simulated by the model MC1 under the CSIRO Mk3 future climate projection and A2 anthropogenic emissions scenario. The range of data values is from -0.741 to +0.999. The mean value is +0.107. Data values are calculated as GFRAC(2071-2100) minus GFRAC(1971-2000). GFRAC data is from MC1 version B60. The dynamic global vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites in eastern Oregon (Deschutes and Fremont-Winema National Forests) and in Arizona (Apache [...]
Summary
This map represents the change between 1971-2000 and 2071-2100 in the annual peak fraction of total live vegetation carbon held in herbaceous plants, as simulated by the model MC1 under the CSIRO Mk3 future climate projection and A2 anthropogenic emissions scenario. The range of data values is from -0.741 to +0.999. The mean value is +0.107. Data values are calculated as GFRAC(2071-2100) minus GFRAC(1971-2000). GFRAC data is from MC1 version B60.
The dynamic global vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites in eastern Oregon (Deschutes and Fremont-Winema National Forests) and in Arizona (Apache Sitgreaves National Forest area) in the context of a project funded by the USDA Forest Service (PNW 09-JV-11261900-003). Historical climate input data used to run the model were provided by the PRISM group (Chris Daly, Oregon State University) at a 30 arc-second (800m) spatial grain. The model was also run using future climate change projections from two general circulation models, CSIRO Mk3 and MIROC 3.2 medres. Future climate change climate datasets were generated through statistical downscaling from general circulation model output using a simple anomaly method and the climatology (1971-2000) from the PRISM group at 30 arc-second spatial grain. The model was run assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increases productivity and water use efficiency as atmospheric CO2 concentration increases.