“…The former are able to model complex relationships between the climate, land use, and water quality to examine issues that might otherwise be intractable. For example, simulations from these types of programs have been used to examine the hypoxia "dead zone" in the Gulf of Mexico (Rabotyagov, 2014), the effect of corn-based ethanol on environmental quality (Secchi, 2009), and the potential for cropland to reduce flood risk (Schilling, 2014). Simulation models are invaluable for gaining insight into issues that may otherwise be too complicated for any one statistical model to capture, but they have drawbacks.…”