Scenario planning: The future of the cattle and sheep industries in Scotland and their resiliency to disease

  • LA Boden
  • , HK Auty
  • , P Bessell
  • , D Duckett
  • , J Liu
  • , C Kyle
  • , A McKee
  • , L-A Sutherland
  • , J Reynolds
  • , BMdeC Bronsvoort
  • , IJ McKendrick

    Research output: Contribution to journalArticlepeer-review

    56 Downloads (Pure)

    Abstract

    In this paper, we present a description of foresighting activities undertaken by EPIC, Scotland’s Centre of Expertise on Animal Disease Outbreaks, to investigate the future uncertainty of animal healthsecurity in the Scottish sheep and cattle sectors. Using scenario planning methodologies, we explored four plausible but provocative long-term futures which identify dynamics underpinning the resilience of these agricultural sectors to animal disease. These scenarios highlight a number of important driversthat influence disease resilience: industry demographics, the role of government support and regulation and the capacity for technological innovation to support the industry to meet local and global market demand. Participants in the scenario planning exercises proposed creative, robust strategies that policymakers could consider implementing now to enhance disease control and industry resilience in multiple,uncertain futures. Using these participant-led strategies as a starting point, we offer ten key questions for policy makers and stakeholders to provoke further discussion about improving resiliency and disease preparedness. We conclude with a brief discussion of the value of scenario planning, not only for thedevelopment of futures which will inform disease contingency plans and improve industry resilience,but as a mechanism for dialogue and information sharing between stakeholders and government.
    Original languageEnglish
    Pages (from-to)353 - 364
    Number of pages12
    JournalPreventive Veterinary Medicine
    Volume121
    Issue number3-4
    DOIs
    Publication statusFirst published - 22 Aug 2015

    Bibliographical note

    1030385

    Keywords

    • Animal disease
    • Animal health
    • Contingency planning
    • Futures
    • Livestock
    • Resiliency
    • Scenarios

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