This is a mode vegetation map resulting from annual MC1 model vegetation output. It is the vegetation class that occurs with greatest frequency for the years 2070-2099.
MC1 is a dynamic vegetation model for estimating the distribution of
vegetation and associated ecosystem fluxes of carbon, nutrients, and
water. It was created to assess the potential impacts of global climate
change on ecosystem structure and function at a wide range of spatial
scales from landscape to global. The model incorporates transient
dynamics to make predictions about the patterns of ecological change.
MC1 was created by combining physiologically based biogeographic rules
defined in the MAPSS model with a modified version of the biogeochemical
model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically
simulates the occurrence and impacts of fire events. Climate input data
sources for this particular run include the Climatic Research Unit (CRU
TS 2.0), the Canadian Forest Service, and Parameter-elevation
Regressions on Independent Slopes Model (PRISM).
Input data for the MC1 model (climate and soil) were obtained from the
Vegetation-Ecosystem Modeling and Analysis Project (VEMAP). VEMAP was a
large, collaborative,
multi-agency program to simulate and understand ecosystem dynamics for
the continental
United States. The project involved the development
of common data sets for model input including a high-resolution
topographically-adjusted
climate history of the United States from 1895-1993 on a 0.5º grid,
with
soils and vegetation cover. The climate
data set was developed at NCAR by Tim Kittel (EDAS) and Nan Rosenbloom
(EDAS),
with collaboration from Oregon State University (Chris Daly) and
NOAA's National
Climate Data Center (
NCDC
). Information for the VEMAP project can be obtained from http://www.cgd.ucar.edu/vemap/objectives.html.