TY - JOUR
T1 - Complexity and uncertainty in future food system transformation modelling
AU - Moallemi, Enayat A.
AU - Castonguay, Adam C.
AU - Mason-D’Croz, Daniel
AU - Nelson, Rohan
AU - Britz, Wolfgang
AU - Allen, Cameron
AU - Hadjikakou, Michalis
AU - Battaglia, Michael
AU - Bryan, Brett A.
AU - Conti, Costanza
AU - Marcos-Martinez, Raymundo
AU - Frank, Stefan
AU - Nong, Duy
AU - Eker, Sibel
AU - Razavi, Saman
AU - Navarro-Garcia, Javier
AU - Gao, Lei
N1 - Publisher Copyright:
© Crown 2025.
PY - 2025/11/10
Y1 - 2025/11/10
N2 - Food systems face multi-dimensional pressures and require integrated assessments of environmental, social, health and economic dimensions to inform their transformation. Although economic equilibrium models and integrated assessment models have been instrumental in this context, future decision-making requires more diverse and inclusive participatory processes. Here we evaluate the ability of current models to represent food systems and identify challenges and opportunities regarding key aspects of their transformative change, including socio-political dynamics and human–nature feedbacks, links between global and local scales, robustness under uncertainty, as well as evolving stakeholder demands. Our analysis underscores the need to rethink how models are designed and used for a more effective integration into decision-making processes.
AB - Food systems face multi-dimensional pressures and require integrated assessments of environmental, social, health and economic dimensions to inform their transformation. Although economic equilibrium models and integrated assessment models have been instrumental in this context, future decision-making requires more diverse and inclusive participatory processes. Here we evaluate the ability of current models to represent food systems and identify challenges and opportunities regarding key aspects of their transformative change, including socio-political dynamics and human–nature feedbacks, links between global and local scales, robustness under uncertainty, as well as evolving stakeholder demands. Our analysis underscores the need to rethink how models are designed and used for a more effective integration into decision-making processes.
UR - https://www.scopus.com/pages/publications/105021432265
U2 - 10.1038/s43016-025-01257-1
DO - 10.1038/s43016-025-01257-1
M3 - Review Article
C2 - 41214297
AN - SCOPUS:105021432265
SN - 2662-1355
VL - 6
SP - 1008
EP - 1019
JO - Nature Food
JF - Nature Food
ER -