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Additional warming caused by climate change will negative impacts on agricultural sectors. The problem is expected to be most harsh in regions were lacking in adaptive capacity in terms of information needed to make adaptive decisions to combat climate change impacts. Many strides have been made to understand and quantify climate impact on sensitive regions to climate change. However, for many food-insecurity hot-spot areas, the comprehensive data for impact assessment are rarely available. This paper outlined a research framework for providing knowledge for policy-makers, local authorities, and agricultural organizations to make informative climate change adaptive decisions for such areas. Several models are compared and discussed to show their advantage and disadvantage for appropriate model applications. We propose a framework to facilitate future impact assessment research, especially for regions where relevant data are lacking. This paper provides a research method of linking different models and combines the useful information acquired from models to make climate policies and adaption schemes cost-effectively with limited local data and farm information.
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