HR: 17:15h
AN: B44B-06    [Abstracts]
TI: Regional Forest-Atmosphere Carbon Exchange via Atmospheric Inversions and Flux-Tower Upscaling
AU: * Davis, K
EM: davis@met.psu.edu
AF: Department of Meteorology, The Pennsylvania State University, University Park, PA 16802 United States
AU: Andrews, A
EM: arlyn.andrews@noaa.gov
AF: Climate Monitoring and Diagnostics Laboratory, NOAA, Boulder, CO 80305 United States
AU: Berry, J
EM: joe.berry@globalecoloy.stanford.edu
AF: Department of Global Ecology, Carnegie Institution of Washington, Stanford, CA 94305 United States
AU: Bolstad, P
EM: pbolstad@umn.edu
AF: Department of Forest Resources, University of Minnesota, , St. Paul, MN 55108 United States
AU: Chen, J
EM: jiquan.chen@utoledo.edu
AF: Department of Earth, Ecological and Environmental Sciences, The University of Toledo, ,Toledo, OH 43606 United States
AU: Cook, B
EM: bcook@met.psu.edu
AF: Department of Forest Resources, University of Minnesota, , St. Paul, MN 55108 United States
AU: Denning, A S
EM: denning@atmos.colostate.edu
AF: Department of Atmospheric Science, The Colorado State University, Fort Collins, CO 80523 United States
AU: Desai, A
EM: adesai@met.psu.edu
AF: Department of Meteorology, The Pennsylvania State University, University Park, PA 16802 United States
AU: Heinsch, F
EM: faithann@ntsg.umt.edu
AF: School of Forestry, University of Montana, Missoula, MT 59812 United States
AU: Helliker, B
EM: helliker@sas.upenn.edu
AF: Department of Biology, University of Pennsylvania, Philadelphia, PA 19104 United States
AU: Miles, N
EM: nmiles@met.psu.edu
AF: Department of Meteorology, The Pennsylvania State University, University Park, PA 16802 United States
AU: Noormets, A
EM: asko.noormets@utoledo.edu
AF: Department of Earth, Ecological and Environmental Sciences, The University of Toledo, ,Toledo, OH 43606 United States
AU: Noormets, A
EM: asko.noormets@utoledo.edu
AF: Department of Atmospheric Science, The Colorado State University, Fort Collins, CO 80523 United States
AU: Ricciuto, D
EM: ricciuto@met.psu.edu
AF: Department of Meteorology, The Pennsylvania State University, University Park, PA 16802 United States
AU: Richardson, S
EM: srichardson@psu.edu
AF: Department of Meteorology, The Pennsylvania State University, University Park, PA 16802 United States
AU: Uliasz, M
EM: marek@atmos.colostate.edu
AF: Department of Atmospheric Science, The Colorado State University, Fort Collins, CO 80523 United States
AU: Wang, W
EM: wang@met.psu.edu
AF: Department of Meteorology, The Pennsylvania State University, University Park, PA 16802 United States
AB: The overarching goal of a long-term regional study of ecosystem-atmosphere carbon cycling in a mixed forest ecosystem in the upper Midwest is to observe ecosystem-atmosphere exchange of carbon dioxide at scales of relevance to the global carbon balance, while simultaneously understanding the mechanisms governing this exchange. The Chequamegon Ecosystem-Atmosphere Study (ChEAS) brings together chamber flux, sap flux and biometric measurements at the plot scale (~1 m2), multiple stand-level (~1 km2) eddy-covariance flux towers, landscape-scale (~10-100 km2) eddy-covariance flux measurements from the WLEF tall tower, multiple regional (1000-100000 km2) atmospheric boundary layer (ABL) budget approaches using tall tower mixing ratio measurements, a regional (~100000 km2) ABL budget using a network of CO2 mixing ratio measurements. Flux measurements have been up-scaled to the region using a variety of approaches, and compared to the regional ABL budget methods. Top-down and bottom-up methods fall within a range of values for growing-season flux estimates that suggests a level of precision for regional flux estimates of approximately 0.5 gC m-2 d-1. Interpreting the mechanisms governing these fluxes requires plot- and stand-level data. These data show that variability in seasonal and annual fluxes among flux towers is large. Stand age and stand type explain a large fraction but not all of the observed variability among stands. Standard MODIS-based land surface classification cannot capture the complex forest stand structure in the region. Ongoing work is incorporating additional forest inventory, chamber and eddy covariance flux measurements, and higher resolution remote sensing of vegetation in an attempt to refine our ability to upscale to regional fluxes. This work is a component of the North American Carbon Program's midcontinental intensive regional study.
DE: 4806 Carbon cycling (0428)
SC: Biogeosciences [B]
MN: Fall Meeting 2005