For his MS thesis, Brendan Rogers used the vegetation model MC1 to
simulate vegetation dynamics, associated carbon and nitrogen cycle,
water budget and wild fire impacts across the western 2/3 of the states
of Oregon and Washington using climate input data from the the PRISM
group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The
model was run from 1895 to 2100 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. Future climate change
scenarios were generated through statistical downscaling from general
circulation model output using anomalies and a climatology from the
PRISM group at 30arc second spatial grain. Data came from three General
Circulation Models (CSIRO Mk3, MIROC 3.2 medres, and Hadley CM 3), each
run through three CO2 emission scenarios (SRES B1, A1B, and A2).