An FAO model comparison: Python']Python Agroecological Zoning (PyAEZ) and AquaCrop to assess climate change impacts on crop yields in Nepal

To identify the most effective agricultural transformation and adaptation measures, the Food and Agriculture Organization (FAO) calls for action to produce robust crop suitability assessments. We developed a novel approach to assess the inputs and outputs of two FAO tools (AEZ and AquaCrop). We use Nepal as a case study, a country offering a myriad of ecoclimatic conditions for multiple crops. Our work provides further evidence of climate change impacts on rice, maize and wheat yields along the different agroclimatic zones of Nepal, equally under rainfed and irrigated conditions for future climate scenarios. The findings of bias-adjusted regional climate models (RCMs) shows increasing temperatures and precipitation; whereas the outputs of agroecological/ crop models show effective adaptation of C3 crops to a CO2 enriched environment. In sum, this supports the climate-crop modelling user community, extension workers and government agencies with guidance's to overcome uncertainties associated with the application of these tools.