Realistic commodity flow networks to assess vulnerability of food systems

Adiga Abhijin, Palmer Nicholas, Sinha Sanchit, Waghalter Penina, Dave Aniruddha, Perez Lazarte Daniel, Brévault Thierry, Apolloni Andrea, Mortveit Henning, Yun Baek Young, Marathe Madhav. 2021. Realistic commodity flow networks to assess vulnerability of food systems. In : Complex networks and their applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021. Benito Rosa Maria (ed.), Cherifi Chanta (ed.), Cherifi Hocine (ed.), Moro Esteban (ed.), Rocha Luis M. (ed.), Sales-Pardo Marta (ed.). Cham : Springer, 168-179. (Studies in Computational Intelligence, 1015) ISBN 978-3-030-93408-8 International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). 10, Madrid, Espagne, 30 Novembre 2021/2 Décembre 2021.

Résumé : As the complexity of our food systems increases, they also become susceptible to unanticipated natural and human-initiated events. Commodity trade networks are a critical component of our food systems in ensuring food availability. We develop a generic data-driven framework to construct realistic agricultural commodity trade networks. Our work is motivated by the need to study food flows in the context of biological invasions. These networks are derived by fusing gridded, administrative- level, and survey datasets on production, trade, and consumption. Further, they are periodic temporal networks reflecting seasonal variations in production and trade of the crop. We apply this approach to create networks of tomato flow for two regions – Senegal and Nepal. Using statistical methods and network analysis, we gain insights into spatiotemporal dynamics of production and trade. Our results suggest that agricultural systems are increasingly vulnerable to attacks through trade of commodities due to their vicinity to regions of high demand and seasonal variations in production and flows.

Auteurs et affiliations

• Adiga Abhijin, University of Virginia (USA)
• Palmer Nicholas, University of Virginia (USA)
• Sinha Sanchit, University of Virginia (USA)
• Waghalter Penina, Yeshiva University (USA)
• Dave Aniruddha, University of Virginia (USA)
• Perez Lazarte Daniel, University of Virginia (USA)
• Brévault Thierry, CIRAD-PERSYST-UPR AIDA (SEN) ORCID: 0000-0003-0159-3509
• Apolloni Andrea, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0002-0228-2086
• Mortveit Henning, University of Virginia (USA)
• Yun Baek Young, University of Virginia (USA)
• Marathe Madhav, University of Virginia (USA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/601342/)

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