1Climate, vegetation cover, and management create fine-scale heterogeneity in unirrigated 2 agricultural regions, with important but not well-quantified consequences for spatial and 3 temporal variations in surface CO 2 , water, and heat fluxes. We measured eddy covariance fluxes 4 in seven agricultural fields-comprising winter wheat, pasture, and sorghum -in the U.S. 5Southern Great Plains (SGP) during the 2001-2003 growing seasons. Land-cover was the 6 dominant source of variation in surface fluxes, with 50-100% differences between fields planted 7 in winter-spring versus fields planted in summer. Interannual variation was driven mainly by 8 precipitation, which varied more than two-fold between years. Peak aboveground biomass and 9 growing-season net ecosystem exchange (NEE) of CO 2 increased in rough proportion to 10 precipitation. Based on a partitioning of gross fluxes with a regression model, ecosystem 11 respiration increased linearly with gross primary production, but with an offset that increased 12 near the time of seed production. Because the regression model was designed for well-watered 13 periods, it successfully retrieved NEE and ecosystem parameters during the peak growing 14 season, and identified periods of moisture limitation during the summer. In summary, the effects 15 of crop type, land management, and water limitation on carbon, water, and energy fluxes were 16 large. Capturing the controlling factors in landscape scale models will be necessary to estimate 17 the ecological feedbacks to climate and other environmental impacts associated with changing 18 human needs for agricultural production of food, fiber, and energy.