HR: 08:45h
AN: H11H-04    [Abstracts]
TI: Evaluating the Influence of Various Vegetation and Soil Types on Water and Energy Balances in Northern Wisconsin Using a Dynamic Biosphere Model
AU: * Vano, J A
EM: jvano@wisc.edu
AF: Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726 United States
AU: Foley, J A
EM: jfoley@wisc.edu
AF: Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726 United States
AU: Kucharik, C J
EM: kucharik@wisc.edu
AF: Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726 United States
AU: Coe, M T
EM: mtcoe@wisc.edu
AF: Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, 1710 University Avenue, Madison, WI 53726 United States
AB: Variations in vegetation composition and soil types across large landscapes significantly influence coupled energy-water-carbon cycles at the watershed scale. Past efforts to quantify northern Wisconsin's energy and water balances using atmospheric, groundwater and other landscape models have used only one land cover type. The next step is to account for the heterogeneity that is found in both soil and vegetation across the region. Therefore, mechanistic models that account for land cover changes more completely are important to investigating this landscape. This study uses a process-based terrestrial model, Integrated Biosphere Simulator (IBIS), to compare evapotranspiration, sensible heat, soil moisture, surface runoff, and drainage over various land covers including grasslands, shrublands, coniferous and deciduous forests, as well as soil types ranging from sand to clay. The temporal sensitivities of land cover are evaluated from 1951-2000, comparing long-term averages, innerannual variability and seasonal cycles with attention given to wet and dry years and extreme precipitation events. Results show 1) when compared to observations at the 447-m WLEF-TV flux tower, the model successfully simulates variation in monthly latent and sensible heat flux and 2) hydrological sensitivities of water and energy budgets components vary depending on timescales; evapotranspiration, for instance, is less variable than drainage seasonally, but has a greater sensitivity to land cover change over the long-term.
DE: 1818 Evapotranspiration
DE: 1836 Hydrologic budget (1655)
DE: 1854 Precipitation (3354)
DE: 1860 Runoff and streamflow
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting