Difference in mean annual minimum temperatures between 1971-2000 and 2070-2099 under Hadley A2 for the Apache-Sitgreaves study area, Arizona, USA

Feb 22, 2012 (Last modified Feb 28, 2012)
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This map represents the difference in annual minimum temperatures, simulated by the model MC1 between the 30-year periods 1971-2000 and 2070-2099, using the Hadley future climate projection under the A2 anthropogenic emission scenario.  The average annual minimum temperature for the respective 30-year periods increased in all of the 5,311 grid cells of the Apache-Sitgreaves study area. The greatest increase was 4.35 C; the least increase was 4.26 C; and the mean increase was 4.31 C.

The vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites in eastern Oregon (Deschutes and Fremont-Winema National Forests) and in Arizona (Apache Sitgreaves National Forest area) in the context of a project funded by the USDA Forest Service (PNW 09-JV-11261900-003). Historical climate input data used to run the model were provided by the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was also run using future climate change projections from various general circulation models including Hadley, CSIRO Mk3 and MIROC 3.2 medres. Future climate change climate datasets were generated through statistical downscaling from general circulation model output using a simple anomaly method and the climatology (1971-2000) from the PRISM group at 30arc second spatial grain.  The model was run assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased.
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David Conklin, Conservation Biology Institute

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800 m by 800 m spatial grain
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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.