A Simulation Model of Carbon Cycling and Methane Emissions in Amazon Wetlands
Christopher
Potter, NASA Ames Research Center, cpotter@mail.arc.nasa.gov
(Presenting)
John
Melack, University of California, Santa Barbara, melack@lifesci.ucsb.edu
Laura
Hess, University of California, Santa Barbara, lola@icess.ucsb.edu
Bruce
Forsberg, Instituo Nacional de Pesquisas da Amazonia, Manaus, forsberg@horizon.com.br
Evlyn
Moraes
Novo, Instituto Nacional de Pesquisas Espaciais, Sao Jose dos Campos, evlyn@ltid.inpe.br
Steven
Klooster, California State University Monterey Bay, sklooster@mail.arc.nasa.gov
An integrative carbon study is investigating the hypothesis that measured fluxes of methane from wetlands in the Amazon region can be predicted accurately using a combination of process modeling of ecosystem carbon cycles and remote sensing of regional floodplain dynamics. A new simulation model has been build using the NASA-CASA concept for predicting methane production and emission fluxes in Amazon river and floodplain ecosystems. Numerous innovations area being made to model Amazon wetland ecosystems, including: (1) prediction of wetland net primary production (NPP) as the source for plant litter decomposition and accumulation of sediment organic matter in two major vegetation classes -- flooded forests (varzea or igapo) and floating macrophytes, (2) representation of controls on carbon processing and methane evasion at the diffusive boundary layer, through the lake water column, and in wetland sediments as a function of changes in floodplain water level, (3) inclusion of surface emissions controls on wetland methane fluxes, including variations in daily surface temperature and of hydrostatic pressure linked to water level fluctuations. A model design overview and early simulation results are presented.
Submetido por Christopher S. Potter em 16-MAR-2004
Tema Científico do LBA: SH (Hidrologia e Química das Águas)