Simulated vegetation types (2070-2099) under Hadley A2 for the Apache-Sitgreaves study area, Arizona, USA
Dates
Original Data Basin Creation Date
2012-02-22 12:37:09
Original Data Basin Modified Date
2012-02-22 12:37:09
Summary
This map represents the modal vegetation type in each gridcell, as simulated by the model MC1 for the 30-year period 2070-2099, using the Hadley future climate projection under the A2 anthropogenic emission scenario. The data is from output variable VTYPE in MC1 version B60. The 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 [...]
Summary
This map represents the modal vegetation type in each gridcell, as simulated by the model MC1 for the 30-year period 2070-2099, using the Hadley future climate projection under the A2 anthropogenic emission scenario. The data is from output variable VTYPE in MC1 version B60.
The 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, OSU) at a 30arc second (800m) spatial grain. The model was also run using future climate change projections from various general circulation models including Hadley, 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 30arc 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 increased productivity and water use efficiency as the
atmospheric CO2 concentration increased.
