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Modeling and scaling up the impacts of ozone on forest productivity in northern Wisconsin. Saliendra, Nicanor*,1, Kubiske, Mark1, Heinsch, Faith Ann2, Gustafson, Eric1, Sturtevant, Brian1, Heilman, Warren3, 1 USDA Forest Service, NCRS, Rhinelander, Wisconsin, USA2 College of Forestry and Conservation, NTSG, Missoula, Montana, USA3 USDA Forest Service, NCRS, East Lansing, Michigan, USA ABSTRACT- Tropospheric ozone (O3) affects forest productivity through its adverse oxidative influences on various levels of organization (i.e., from molecules to ecoregions). One of the key impacts of elevated O3 levels near the vegetation surface is the reduction of photosynthetic CO2 assimilation. In the present study, we use the process-based model, PnET-II, to simulate the impacts of O3 on forest productivity at various temporal and spatial scales. The PnET-II model is parameterized with results generated from recent years (1998-2004) of observations at the Aspen FACE experiment near Rhinelander, WI. We compare (validate) simulated forest productivity with stand-level CO2 fluxes from an eddy covariance tower at an upland hardwood site in northern Wisconsin. Using remote sensing and GIS protocols, we scale up the impacts of O3 on forest productivity across the ecoregion of northern Wisconsin. We conduct sensitivity analyses of modeling and scaling up of forest productivity by imposing various environmental and O3 scenarios. Results from the present study will be useful towards spatially explicit modeling of forest succession at the regional level. Key words: tropospheric ozone (O3), aspen FACE experiment, process-based model (PnET-II), eddy covariance |
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