Journal
ECOLOGICAL APPLICATIONS
Volume 20, Issue 4, Pages 1074-1086Publisher
WILEY
DOI: 10.1890/08-2352.1
Keywords
agriculture; cropland data layer; fossil fuel emissions; land cover; land management; moderate resolution imaging spectroradiometer (MODIS); net carbon flux; net primary production; satellite remote sensing; soil carbon
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Funding
- U.S. National Aeronautics and Space Administration, Earth Science Division
- Department of Energy Consortium for Carbon Sequestration in Terrestrial Ecosystems
- U.S. Department of Energy [DE-AC05-00OR22725]
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Net annual soil carbon change, fossil fuel emissions from cropland production, and cropland net primary production were estimated and spatially distributed using land cover defined by NASA's moderate resolution imaging spectroradiometer (MODIS) and by the USDA National Agricultural Statistics Service (NASS) cropland data layer (CDL). Spatially resolved estimates of net ecosystem exchange (NEE) and net ecosystem carbon balance (NECB) were developed. The purpose of generating spatial estimates of carbon fluxes, and the primary objective of this research, was to develop a method of carbon accounting that is consistent from field to national scales. NEE represents net on-site vertical fluxes of carbon. NECB represents all on-site and off-site carbon fluxes associated with crop production. Estimates of cropland NEE using moderate resolution (similar to 1 km(2)) land cover data were generated for the conterminous United States and compared with higher resolution (30-m) estimates of NEE and with direct measurements of CO2 flux from croplands in Illinois and Nebraska, USA. Estimates of NEE using the CDL (30-m resolution) had a higher correlation with eddy covariance flux tower estimates compared with estimates of NEE using MODIS. Estimates of NECB are primarily driven by net soil carbon change, fossil fuel emissions associated with crop production, and CO2 emissions from the application of agricultural lime. NEE and NECB for U.S. croplands were -274 and 7 Tg C/yr for 2004, respectively. Use of moderate- to high-resolution satellite-based land cover data enables improved estimates of cropland carbon dynamics.
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