Preprints
https://doi.org/10.31223/X5MQ4R
https://doi.org/10.31223/X5MQ4R
29 Oct 2024
 | 29 Oct 2024
Status: this preprint is open for discussion.

Food trade disruption after global catastrophes

Florian Jehn, Łukasz Gajewski, Johanna Hedlund, Constantin Arnscheidt, Lili Xia, Nico Wunderling, and David Denkenberger

Abstract. The global food trade system is resilient to minor disruptions but vulnerable to major ones. Major shocks can arise from global catastrophic risks, such as abrupt sunlight reduction scenarios (e.g., nuclear war) or global catastrophic infrastructure loss (e.g., due to severe geomagnetic storms or a global pandemic). We use a network model to examine how these two scenarios could impact global food trade, focusing on wheat, maize, soybeans, and rice, accounting for about 60 % of global calorie intake. Our findings indicate that an abrupt sunlight reduction scenario, with soot emissions equivalent to a major nuclear war between India and Pakistan (37 Tg), could severely disrupt trade, causing most countries to lose the vast majority of their food imports (50–100 % decrease), primarily due to the main exporting countries being heavily affected. Global catastrophic infrastructure loss of the same magnitude as the abrupt sunlight reduction has a more homogeneous distribution of yield declines, resulting in most countries losing up to half of their food imports (25–50 % decrease). Thus, our analysis shows that both scenarios could significantly impact the food trade. However, the abrupt sunlight reduction scenario is likely more disruptive than global catastrophic infrastructure loss regarding the effects of yield reductions on food trade. This study underscores the vulnerabilities of the global food trade network to catastrophic risks and the need for enhanced preparedness.

Florian Jehn, Łukasz Gajewski, Johanna Hedlund, Constantin Arnscheidt, Lili Xia, Nico Wunderling, and David Denkenberger

Status: open (until 25 Dec 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Florian Jehn, Łukasz Gajewski, Johanna Hedlund, Constantin Arnscheidt, Lili Xia, Nico Wunderling, and David Denkenberger

Model code and software

PyTradeShifts Florian Ulrich Jehn and Lukasz G. Gajewski https://github.com/allfed/pytradeshifts

Florian Jehn, Łukasz Gajewski, Johanna Hedlund, Constantin Arnscheidt, Lili Xia, Nico Wunderling, and David Denkenberger

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 49 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
49 0 0 49 0 0
  • HTML: 49
  • PDF: 0
  • XML: 0
  • Total: 49
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 29 Oct 2024)
Cumulative views and downloads (calculated since 29 Oct 2024)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 50 (including HTML, PDF, and XML) Thereof 50 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2024
Download
Short summary
The global food trade system can handle small disturbances, but large disasters could cause major disruptions. We looked at how nuclear war or severe infrastructure loss would affect global trade in key crops. Both would be catastrophic, but a nuclear war would cause more severe disruptions, with many countries losing most of their food imports. Both scenarios highlight the need for better preparation to protect global food security.