Advances for Measuring and Modeling Food System Resilience
Advances for Measuring and Modeling Food System Resilience
Session ID#: 282364
Session Description:
Food supply chains are increasingly exposed to compound shocks from climate variability, resource scarcity, geopolitical disruptions, and market volatility. Yet resilience is often assessed in fragmented ways—separating agricultural production from upstream inputs (e.g., fertilizers/irrigation), and from downstream processing, trade, consumption, and waste. This session invites contributions that conceptualize and quantify resilience across all elements of the food system, explicitly linking natural resources (land/water/soils) with input supply chains (energy/fertilizers/seeds/pesticides) and multi-scale food distribution networks.
We welcome studies integrating diverse data/methods, including remote sensing, causal inference, network analysis, econometrics, and process-based modeling, as well as hybrid approaches. We encourage work examining how dependencies among inputs, infrastructure, and ecosystems propagate risks and adaptive responses; and how policies and technologies reshape robustness, redundancy, and equity to enhance resilience. Contributions may span local-to-global scales and address acute shocks, chronic stresses, or their interactions, with the aim to advance systems-level understanding of food supply chain resilience.
Co-Sponsor(s):
- GH - GeoHealth
- H - Hydrology
- NH - Natural Hazards
- SY - Science and Society
Index Terms:
0231 Impacts of climate change: agricultural health [GEOHEALTH]
1616 Climate variability [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
Primary Convener: Kyle Frankel Davis, University of Delaware, Department of Geography & Spatial Sciences, Newark, DE, United States
Convener: Lorenzo Rosa, Carnegie Institution for Science Stanford, Stanford, United States
See more of: Global Environmental Change