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Food System Resilience: Concepts, Issues, and Challenges

Research output: Contribution to Journal/MagazineJournal articlepeer-review

E-pub ahead of print
  • Monika Zurek
  • John Ingram
  • Angelina Sanderson Bellamy
  • Conor Goold
  • Christopher Lyon
  • Peter Alexander
  • Andrew Barnes
  • Daniel P. Bebber
  • Tom D. Breeze
  • Ann Bruce
  • Lisa M. Collins
  • Bob Doherty
  • Jonathan Ensor
  • Sofia C. Franco
  • Andrea Gatto
  • Tim Hess
  • Chrysa Lamprinopoulou
  • Magnus Merkle
  • Lisa Norton
  • Tom Oliver
  • Jeff Ollerton
  • Simon Potts
  • Mark S. Reed
  • Chloe Sutcliffe
<mark>Journal publication date</mark>20/09/2022
<mark>Journal</mark>Annual Review of Environment and Resources
Issue number1
Publication StatusE-pub ahead of print
Early online date20/09/22
<mark>Original language</mark>English


Food system resilience has multiple dimensions. We draw on food system and resilience concepts and review resilience framings of different communities. We present four questions to frame food system resilience (Resilience of what? Resilience to what? Resilience from whose perspective? Resilience for how long?) and three approaches to enhancing resilience (robustness, recovery, and reorientation—the three “Rs”). We focus on enhancing resilience of food system outcomes and argue this will require food system actors adapting their activities, noting that activities do not change spontaneously but in response to a change in drivers: an opportunity or a threat. However, operationalizing resilience enhancement involves normative choices and will result in decisions having to be negotiated about trade-offs among food system outcomes for different stakeholders. New approaches to including different food system actors’ perceptions and goals are needed to build food systems that are better positioned to address challenges of the future. Expected final online publication date for the Annual Review of Environment and Resources, Volume 47 is October 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.