Landscape Patterns and Ecosystem Processes

2008 US-IALE Symposium

Madison, Wisconsin | April 6-10, 2008

Presentation Information



Session Information


SessionPoster Session
DateMonday (2008-04-07)
Time5:00 PM - 7:00 PM
RoomGrand Terrace

Presentation Information


PresenterRanjeet John
TitleScaling up water use efficiency in semi-arid ecosystems of Inner Mongolia from plot level to regional scales
AffiliationDepartment of Environmental Sciences, University of Toledo
AuthorsRanjeet John, Nan Lu, Jiquan Chen, Burkhard Wilske
KeywordsChina, GPP, Inner Mongolia, MODIS, Water use
Presentation TypePoster
Abstract:

Semi-arid Inner Mongolia, P.R.C, is experiencing land use/cover changes that include an increase in irrigated agriculture and ecotone shifts, along the typical steppe-desert steppe margin. In this study, we evaluate effective scaling up of water use efficiency from the plot level to regional scale. Our scaling approach, includes a three tiered remote sensing approach based on spectroradiometers (plot level), flux towers, ASTER (landscape level) and MODIS (regional level) in context of land use/cover types and biomes. Carbon and water fluxes of the grasslands in Inner Mongolia have distinct spatio-temporal dynamics with inter-annual variation. We will use a network of Eddy flux towers to provide ground truth for MODIS derived GPP & ET and link plot and tower observations to regional changes in water and energy fluxes. In addition to water use efficiency, water content indices were also scaled up to MODIS VIs, for 2005-2006 using the 8-day MODIS surface reflectance product to provide a spatio-temporal measure of water fluxes. This includes correlating satellite derived vegetation indices (NDVI, EVI, NDSVI and LSWI) with in situ field radiometer derived VIs as well as daily observed ET and estimated GPP data from the flux tower network. We found that greenness and water content VIs can be scaled up from plot level measurements using a hierarchical scaling up process using imagery at the Aster (30m) and MODIS resolution (500-1000m).

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