A review of economic calibrated mathematical programming models for agricultural water reallocation

Abstract

This study presents a bibliometric and systematic review of economic calibrated mathematical programming models for agricultural water reallocation. Our analysis describes trends and emerging directions in research, identifies major scientific challenges, and discusses related advances and research gaps. Key challenges and research gaps emerging from our review include lack of model (particularly of forecasting errors) and data (particularly water use data) validation, insufficient uncertainty quantification, issues of model performance beyond the calibration range, and uncoordinated coupling (and other) experiments with limited impact. We diagnose research gaps and identify key drivers, explore promising research avenues with the potential to address them, and provide a synthetic list of recommendations with potential of significantly advancing the state of the art.