Authors: Emily Burchfield*, Utah State University
Topics: Agricultural Geography, Coupled Human and Natural Systems, Spatial Analysis & Modeling
Keywords: Agriculture, climate, spatiotemporal analysis
Session Type: Paper
Start / End Time: 1:20 PM / 3:00 PM
Room: Napoleon B3, Sheraton 3rd Floor
Presentation File: No File Uploaded
One of the most significant global challenges of our time is to continue to meet growing human demands for food with increasingly scarce resources and significant changes in climate. Research is needed to understand how agricultural systems are responding to these pressures, to identify the characteristics of agricultural systems showing resilience to these pressures, and to support transition towards a more resilient, sustainable, and equitable global food system. This project develops an innovative, grounded approach to studying the health of agricultural systems in the United States by testing state-of-the-art Bayesian space-time modeling of big datasets to identify space-time variations in county-level yield response to climatic extremes. Preliminary analyses suggest that there are significant variations in yield response to climate across the U.S. and pilots methods to assess the impact of socioeconomic, environmental, and agricultural factors that moderate the impacts of climate extremes on yield.