Quantifying the effects of elevated CO2 on water budgets by combining FACE data with an ecohydrological model

摘要: Response of leaf area index (LAI) is the key determinant for predicting impacts elevated CO2 (eCO2) on water budgets. Importance changes in functional attributes vegetation associated with eCO2 responses LAI has rarely been addressed. In this study, WAter Vegetation Energy and Solute (WAVES) model was applied to simulate ecohydrological effects at two free-air enrichment (FACE) experimental sites contrasting vegetation. One carried out by Oak Ridge National Laboratory forest (ORNL FACE). The other one conducted University Minnesota grass (BioCON Results demonstrated that (including reduction specific area, carbon assimilation allocation characteristics) availability nutrients are important reproducing LAI, transpiration soil moisture both sites. Predicted increased slightly because fertilization eCO2. Simulated decreased 10·5% ORNL site 13·8% BioCON stomatal conductance. evaporation from interception surface (<1·0 mm year−1) litter production, resulted reduced transpiration. All components run-off were predicted increase significant decrease mean annual evapotranspiration about 8·7% 10·8%, 11·1% (59·3 mm year−1) 9·5% (37·6 mm year−1) FACE sites, respectively. Copyright © 2014 John Wiley & Sons, Ltd.