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![](https://webarchive.library.unt.edu/eot2008/20081109134543im_/http://www.ars.usda.gov/incme/images/Research_head.gif) |
Research Project:
JOINT EFFECTS OF CLIMATE CHANGE ON GRASSLANDS: EXTENDING LYCOG THROUGH STOCHASTIC MODELING OF CO2, TEMPERATURE, AND PRECIPITATION FORCING
Location: Grassland Soil and Water Research Laboratory, Temple, Texas
Project Number: 6206-11220-004-04
Project Type:
Specific Cooperative Agreement
Start Date: Aug 01, 2007
End Date: Jul 31, 2012
Objective:
The model will longitudinally resolve micrometeorological forcing of photosynthetic processes at the half-hourly time scale, enhancing and optimizing control of the LYCOG CO2 gradient while minimizing undesired temperature excursions. The model will then be upscaled to the daily level, and calibrated with LYCOG measurements of biogeochemistry and plant/soil fluxes to resolve daily variation in water, carbon, and nitrogen fluxes along the CO2 gradient. The result will be a calibrated model of CO2 impacts on biogeochemistry.
Temperature and precipitation effects will be added to the CO2 model by calibrating photosynthesis, plant water potential, and soil C-N cycling submodels with temperature and soil moisture relationships from the literature or measured in LYCOG. This will enable prediction of the joint effects of temperature and precipitation on the fluxes of water, carbon and nitrogen along the CO2 gradient.
Approach:
Use field data collected from LYCOG to calibrate and test a stochastic soil moisture/biogeochemistry model at subhourly to daily time scales.
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Last Modified: 11/08/2008
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