the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Food trade disruption after global catastrophes
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.
Status: open (until 23 Jan 2025)
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RC1: 'Comment on egusphere-2024-3094', Nick Wilson, 20 Dec 2024
reply
This study appears to be a very valuable addition to the literature. The topic is particularly important as the risk of nuclear war may be increasing with ongoing deterioration in international relations between nuclear weapon states. Also recent evidence suggests that events such as major solar storms might be more likely than previous thought [1]. The methods of this study seem appropriate and the results make good sense. Some specific issues the authors could consider:
- In the Introduction – references such as (Barrett et al., 2013) are perhaps somewhat outdated. Consider including findings from a recent major forecasting exercise: [2].
- The modelling is done on spring wheat which is reasonable as it is more common globally than winter wheat. But a limitation that could be noted is that in ASRS conditions many producer countries could switch to winter wheat which would be more resistant to adverse ASRS impacts (such as cooler temperatures and frosts). It is also usually more productive than spring wheat, eg, for 2023 USDA data: Average winter wheat yields were around 50-55 bushels/acre, compared to spring wheat’s 40-45 bushels/acre.
- For awhile I was wondering why in the ASRS scenario India and Pakistan still appeared to be involved in the food trade system (given the ASRS scenario involved them in a nuclear war). Then I saw the subsequent results where the modelling removed them. So perhaps explain earlier in the text that the initial results did not include direct nuclear war-related impacts on the nuclear waring nations.
- The Discussion could consider stating that building country-level food system resiliency and reducing food trade dependence could be partly achieved by greater adoption of plant-based diets and with consumption of locally-produced fruits/vegetables/legumes (rather than imported grains). This is partly because much of the traded grain imported into some countries (especially soya beans, maize) is currently inefficiently used for animal feed (ie, inefficient from the perspective of food energy supplied to humans per energy inputs).
- The Discussion could consider stating that building country-level food system resiliency and reducing food trade dependence could also be improved by reducing wasteful use of agricultural land that occurs at present eg, growing crops for biofuel (where this is heavily subsidized and where adopting electric vehicles is far more efficient), and growing crops that are a hazard to health (eg, tobacco). The need to reduce the relatively high levels of food waste in many countries is also a potentially very cost-effective way to build food system resiliency.
- The Discussion could note that although the Xia et al 2022 modelling was very sophisticated – it still had various limitations eg, it did not consider nuclear war impacts on: supply of irrigated water, surface ozone levels, on ultraviolet light damage to agriculture, and “the availability of pollinators, killing frost….”
Trivial points
- Add an open bracket “(” before: Bernard de Raymond et al., 2021)
- Improve wording of the sentence: “Likely because of its less…”
- Where “teragrams” is first used – could say this is “equivalent to megatonnes” as the latter is probably a bit more understandable to most readers.
- Fix typo: “Southern Hemisphere.although”
References
- Vasilyev V, Reinhold T, Shapiro AI, Usoskin I, Krivova NA, Maehara H, Notsu Y, Brun AS, Solanki SK, Gizon L. Sun-like stars produce superflares roughly once per century. Science. 2024;386(6727):1301-1305.
- Karger E, Rosenberg J, Jacobs Z, Hickman M, Hadshar R, Gamin K, Smith T, Williams B, McCaslin T, Tetlock P. Forecasting Existential Risks: Evidence from a Long-Run Forecasting Tournament (FRI Working Paper #1): Forecasting Research Institute. https://static1.squarespace.com/static/635693acf15a3e2a14a56a4a/t/64abffe3f024747dd0e38d71/1688993798938/XPT.pdf; 2023.
Regards, Nick Wilson, University of Otago, New Zealand
Citation: https://doi.org/10.5194/egusphere-2024-3094-RC1
Model code and software
PyTradeShifts Florian Ulrich Jehn and Lukasz G. Gajewski https://github.com/allfed/pytradeshifts
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