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- Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with Hadley climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe.
Percent change in vegetation carbon for years 2070-2099 versus 1961-1990 simulated using the MC1 model with Hadley climate projections under the A2 anthropogenic emission scenario at a half degree spatial grain over the globe.
Jun 9, 2011
(Last modified Jun 13, 2011)
Uploaded by
Conservation Biology Institute
- Description:
- This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as:
(((Future-Historical)/Historical)*100)
Where Future is the average value for 2070-2099 and Historical is the average value for 1961-1990.
See related datasets:
http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
- Data Provided By:
-
US Forest Service. PNW Research Station.
- Content date:
- not specified
- Citation:
-
General MC1 citations are:
Daly, C., D. Bachelet, J.M. Lenihan, R.P. Neilson, W. Parton, and D. Ojima, Dynamic simulation of tree-grass interactions for global change studies, Ecological Applications, 10, 449-469, 2000.
Bachelet D, Lenihan JM, Daly C, Neilson RP, Ojima DS, Parton WJ (2001). MC1: A dynamic vegetation model for estimating the distribution of vegetation and associated carbon, nutrients, and water -- technical documentation. Version 1.0. General Technical Report PNW-GTR-508. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. c-minute for the downscaled
- Spatial Resolution:
- Half degree grids.
- Contact Organization:
- not specified
- Contact Person(s):
Raymond Drapek
- Use Constraints:
- none
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About the Uploader
Conservation Biology Institute
The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.
