Modeling gross primary production in semi-arid Inner Mongolia using MODIS imagery and eddy covariance data
Ranjeet
John, University of Toledo, ranjeet.john@utoledo.edu
(Presenter)
Semi-arid Inner Mongolia is experiencing climate change with associated land cover/use change that includes an increase in irrigated agriculture and population growth. We evaluate temporal scaling up of carbon fluxes from eddy covariance (EC) tower observations in different water-limited land cover/use and biome types. The Vegetation Photosynthesis model (VPM) and modified VPM (MVPM), driven by Enhanced Vegetation Index (EVI) and Land Surface Water Index (LSWI) for 2006-2007 that were derived from MODIS surface reflectance product (MOD09A1) was used to scale up and validate temporal changes in GPP from the EC towers during 2006 & 2007 growing seasons. The VPM model predicted the annual GPP (GPPVPM) reasonably well at the Duolun cropland (R2 = 0.67 & 0.71) and Xilinhaote typical steppe (R2 = 0.80 & 0.73). The predictive power of VPM varied in the desert steppe, at an irrigated poplar stand (R2 = 0.74 & 0.68) and nearby shrubland in Kubuqi (R2 = 0.31 & 0.49). The comparison between GPPtower and GPPMVPM predicted GPP showed good agreement for the Xilinhaote typical steppe (R2 = 0.84 & 0.70) in 2006-2007, Duolun typical steppe (R2 = 0.63), and cropland (R2 = 0.63) in 2007. The predictive power of MVPM decreased slightly in the desert steppe, at the irrigated poplar stand (R2 = 0.55 & .47) and the shrubland (R2 = 0.20 & 0.41). The results of this study demonstrate the feasibility of scaling up GPP from EC towers to the regional scale. Presentation Type: Poster Session: Coupled Processes at Land-Atmosphere-Ocean Interfaces (Mon 4:00 PM) Associated Project(s):
Poster Location ID: 40
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