The author reviews environmental, economics and multidisciplinary research to describe the connection between global environmental change, changing weather conditions and local staple food price variability. The context of the analysis is the humanitarian aid community, using the guidance of the USAID Famine Early Warning Systems Network and the United Nation’s World Food Program in their response to food security crises. These organizations have worked over the past three decades to provide baseline information on food production through satellite remote sensing data and agricultural yield models, as well as assessments of food access through a food price database. These datasets are used to describe the connection, and to demonstrate the importance of these metrics in overall outcomes in food-insecure communities.
Molly E. Brown is a research scientist at NASA Goddard Space Flight Center based in Maryland, USA. She has a BS in biology, and an MA and PhD in Geography. Her research interests include understanding the effect of environmental variability on food prices and market functioning, and the use of satellite remote sensing for decision-making.