Improving predictive tools for assessing, and adapting to, the impacts of climate change on global food security is a critical need. A diversity of modeling approaches currently exists, cutting across a range spatial and temporal scales and philosophy regarding the level of scientific detail that is required for accuracy. This half-day symposium will focus on two parts: i) a survey of modeling approaches for a range of commodities and ii) examples of applications linking models to spatial studies. Approaches for modeling crops, livestock, and other ecosystem components and the state-of-the-art approaches for integrating modeling tools for regional analyses will be the overall framework for the symposium.