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Change in the majority generalized vegetation type for each HUC5 watershed between historical (1971-2000) and future (2071-2100) time periods. The MC1 dynamic vegetation model was run under the CSIRO, MIROC, and Hadley climate change projections and the A2 anthropogenic emissions scenario. Majority generalized vegetation type was determined for each HUC5 watershed from from original ~ 4 km raster data. Generalized vegetation types were assigned by combining detailed MC1 vegetation classes into four general catagories: desert, grassland, shrubland, and forest. Watersheds represent 5th level (HUC5, 10-digit) hydrologic unit boundaries and were acquired from the Natural Resources Conservation Service. Background:...
Tags: DataBasin,
Effects of change in air temp. and precip. on forests,
NPLCC,
North Pacific Landscape Conservation Cooperative,
climate change, All tags...
dynamic global vegetation model,
future vegetation type,
huc5,
hydrologic units,
mc1,
model,
oregon,
simulation,
washington,
watersheds, Fewer tags
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...
Tags: DataBasin,
Effects of change in air temp. and precip. on forests,
NPLCC,
North Pacific Landscape Conservation Cooperative,
climate change, All tags...
dynamic global vegetation model,
future vegetation type,
huc5,
hydrologic units,
mc1,
model,
oregon,
simulation,
washington,
watersheds, Fewer tags
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