HR: 1330h
AN: B42A-0931 [PDF]
TI: Carbon Management and Decision Support Systems for the CASA
Ecosystem Model
AU: Klooster, S
EM: sklooster@mail.arc.nasa.gov
AF: California State University Monterey Bay, Earth System Science and Policy, Seaside, CA 93955 United States
AU: * Potter, C
EM: cpotter@mail.arc.nasa.gov
AF: NASA Ames Research Center, Ecosystem Science, Moffett Field, CA 94035 United States
AU: Fladeland, M
EM: mfladeland@mail.arc.nasa.gov
AF: NASA Ames Research Center, Ecosystem Science, Moffett Field, CA 94035 United States
AU: Genovese, V
EM: vbrooks@mail.arc.nasa.gov
AF: California State University Monterey Bay, Earth System Science and Policy, Seaside, CA 93955 United States
AU: Kramer, M
EM: mkramer@mail.arc.nasa.gov
AF: California State University Monterey Bay, Earth System Science and Policy, Seaside, CA 93955 United States
AB:
Ecosystem modeling and satellite remote sensing can link human activities such as land use change and forest management to
the spatial distribution of carbon pools and fluxes at regional scales. The main objectives of this research and application
are to: 1) evaluate major forest and agricultural sinks of atmospheric carbon dioxide in the U. S. using NASA EOS satellite
data and ecosystem modeling, 2) support the U. S. Government interagency program for registration of voluntary greenhouse
gas emissions reductions under section 1605(b) of the 1992 Energy Policy Act, and 3) develop an internet-based decision
support system (DSS) of carbon sequestration in U. S. ecosystems for users nationwide. We report on the first results of
this DSS to assess the impacts of forest stand age on potential carbon sequestration, as predicted by the CASA (Carnegie Ames
Stanford Approach) biosphere model. Estimates of carbon storage in woody plant pools are compared before and after
adjustment for management of stand age based on U. S. Forest Service map products. These predictions of historical forest
carbon storage are subsequently compared to the potential annual increment of ecosystem carbon gain or loss under conditions
of future climate variation.
UR: http://geo.arc.nasa.gov/sge/casa/cquest.html
DE: 0315 Biosphere/atmosphere interactions
DE: 1610 Atmosphere (0315, 0325)
DE: 1615 Biogeochemical processes (4805)
DE: 1620 Climate dynamics (3309)
DE: 1640 Remote sensing
SC: Biogeosciences [B]
MN: 2003 Fall Meeting