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- Simulated change in generalized vegetation types between historical and future time periods under three climate change projections 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
Oct 16, 2012
Uploaded by
Rebecca Degagne
Dataset was scientifically peer reviewed
- Description:
- 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: The dynamic global vegetation model MC1 (see Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts for OR, WA, AZ and NM, for a project funded by the USDA Forest Service (PNW 09-JV-11261900-003).
The MC1 model was run using historical data and future climate change projections from three general circulation models: CSIRO Mk3, MIROC 3.2 medres, and Hadley CM3. Future scenario datasets were generated through statistical downscaling using a simple anomaly method. Historical climate input data were provided by the PRISM group (Chris Daly, Oregon State University) at a 30 arc-second (~800 m) spatial grain.
This project was funded through the U.S. Forest Service by the American Recovery and Reinvestment Act and also in part by the Western Wildland Environmental Threat Center.
- Data Provided By:
- Conservation Biology Institute
- Content date:
- not specified
- Citation:
- M.A. Hemstrom, J.E. Halofsky, D.R. Conklin, J.M. Halofsky, B.K. Kerns, and D. Bachelet. Assessing potential climate change effects on vegetation using a coupled model approach. In press. Ecological Applications.
- Spatial Resolution:
- HUC5 watershed, ~ 4 km
- Contact Organization:
- Conservation Biology Institute
- Contact Person(s):
Dominique Bachelet
David R. Conklin
- Use Constraints:
This work is licensed under a Creative Commons Attribution 3.0 License.
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About the Uploader
Rebecca Degagne
Geospatial Scientist with The Conservation Biology Institute
I employ spatial analysis, modeling, and remote sensing to further conservation efforts and support sustainable decision-making, esp. in relation to species management and renewable energy planning. Prior to joining CBI in 2012, I taught courses in the geospatial sciences at College of the Redwoods...
