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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:...
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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:...
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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:...
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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...
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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...
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A comparison of simulated MC1 historical vegetation types and EPA Kuchler potential natural vegetation types within HUC5 Watersheds in Arizona and New Mexico. Majority generalized vegetation type was determined for each HUC5 watershed 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. Majority generalized vegetation type was subsequently determined for each HUC5 watershed based on Kuchler (Kuchler, A.W. 1993) Potential Natural...
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A comparison of simulated MC1 historical vegetation types and EPA Kuchler potential natural vegetation types within HUC5 Watersheds in Oregon and Washington. Majority generalized vegetation type was determined for each HUC5 watershed 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. Majority generalized vegetation type was subsequently determined for each HUC5 watershed based on Kuchler (Kuchler, A.W. 1993) Potential Natural...
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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...


    map background search result map search result map Simulated change in generalized vegetation types between historical and future time periods under three climate change projections for OR and WA, USA Simulated future majority vegetation type (2070-2099: 30 yr mode) for OR and WA, USA Differences in generalized vegetation types between MC1 (historical simulation) and Kuchler potential natural vegetation for OR and WA, USA Differences in generalized vegetation types between MC1 (historical simulation) and Kuchler potential natural vegetation for AZ and NM, USA Simulated change in generalized vegetation types between historical and future time periods under three climate change projections for AZ and NM, USA Simulated change in generalized vegetation types between historical and future time periods under three climate change projections for OR and WA, USA Simulated future majority vegetation type (2070-2099: 30 yr mode) for OR and WA, USA Simulated future majority vegetation type (2070-2099: 30 yr mode) for AZ and NM, USA Differences in generalized vegetation types between MC1 (historical simulation) and Kuchler potential natural vegetation for AZ and NM, USA Simulated change in generalized vegetation types between historical and future time periods under three climate change projections for AZ and NM, USA Simulated future majority vegetation type (2070-2099: 30 yr mode) for AZ and NM, USA Simulated change in generalized vegetation types between historical and future time periods under three climate change projections for OR and WA, USA Simulated future majority vegetation type (2070-2099: 30 yr mode) for OR and WA, USA Differences in generalized vegetation types between MC1 (historical simulation) and Kuchler potential natural vegetation for OR and WA, USA Simulated change in generalized vegetation types between historical and future time periods under three climate change projections for OR and WA, USA Simulated future majority vegetation type (2070-2099: 30 yr mode) for OR and WA, USA