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Abstract The majority of food in the US is distributed through global/national supply chains that exclude locally-produced goods. This situation offers opportunities to increase local food production and consumption and is influenced by constraints that limit the scale of these activities. We conducted a study to assess perspectives of producers and consumers engaged in food systems of a major Midwestern city. We examined producers’ willingness to include/increase cultivation of local foods and consumers’ interest in purchasing/increasing local foods. We used focus groups of producers (two groups of conventional farmers, four local food producers) and consumers (three conventional market participants, two locavores) to pose questions about production/consumption of local foods. We transcribed discussions verbatim and examined text to identify themes, using separate affinity diagrams for producers and consumers. We found producers and consumers are influenced by thestatus quoand real and perceived barriers to local foods. We also learned participants believed increasing production and consumption of local foods would benefit their community and creating better infrastructure could enhance efforts to scale up local food systems. Focus group participants also indicated support from external champions/programs could support expansion of local foods. We learned that diversifying local food production was viewed as a way to support local community, increase access to healthy foods and reduce environmental impacts of conventional production. Our research indicates that encouraging producers and consumers in local food systems will be more successful when support for the local community is emphasized. 

Extreme heat is the cause of most US weather-related deaths and is a serious risk for older adults, children, and people with medical issues living in vulnerable neighborhoods. This study explored how extreme heat events affect vulnerable communities, focusing on people’s perceptions, adaptive behaviors, and social network support. Mobile ecological momentary assessment through Short Message Service was employed to collect real-time data from residents in a socioeconomically challenged urban neighborhood in Iowa. Participants responded to text messages with survey links twice daily during heat events over the summer, in which they were asked about their perceptions and behaviors. The results show the need for targeted, inclusive, and effective heat warnings and social network support to reduce heat risks and help vulnerable communities better cope with extreme heat. 

Most people in the world live in urban areas, and their high population densities, heavy reliance on external sources of food, energy, and water, and disproportionately large waste production result in severe and cumulative negative environmental effects. Integrated study of urban areas requires a system-of-systems analytical framework that includes modeling with social and biophysical data. We describe preliminary work toward an integrated urban food-energy-water systems (FEWS) analysis using co-simulation for assessment of current and future conditions, with an emphasis on local (urban and urban-adjacent) food production. We create a framework to enable simultaneous analyses of climate dynamics, changes in land cover, built forms, energy use, and environmental outcomes associated with a set of drivers of system change related to policy, crop management, technology, social interaction, and market forces affecting food production. The ultimate goal of our research program is to enhance understanding of the urban FEWS nexus so as to improve system function and management, increase resilience, and enhance sustainability. Our approach involves data-driven co-simulation to enable coupling of disparate food, energy and water simulation models across a range of spatial and temporal scales. When complete, these models will quantify energy use and water quality outcomes for current systems, and determine if undesirable environmental effects are decreased and local food supply is increased with different configurations of socioeconomic and biophysical factors in urban and urban-adjacent areas. The effort emphasizes use of open-source simulation models and expert knowledge to guide modeling for individual and combined systems in the urban FEWS nexus.