Managing diversity for food system resilience

J. Kaseva,Sari J. Himanen,H. Kahiluoto

Published 2019 in Advances in Food Security and Sustainability

ABSTRACT

Abstract Food systems face more and more fluctuation. Intensified volatility in climate and markets, and increasing complexity due to the globalization of food value chains require resilience to a multitude of changes and variabilities. Despite appeals to manage resilience, conceptual developments have not yet yielded a breakthrough in empirical applications. Diversity reduces sensitivity to disturbance and fosters the capacity to adapt and transform towards various future scenarios; and importantly, food chain actors can manage diversity of their operations and operational environments. However, not all kinds of diversity are effective; what really matters for resilience is diversity of responses to critical disturbances, such as extreme weather, and to supply chain disruptions. Response diversity implies diversity within a key function of responses to changes or variabilities critical to the function. For example, diversity within the wheat supply in response to climatic events being critical to the yield. Response diversity approach provides a practical means to assess and enhance resilience of food system actions important to food security. The response diversity approach is applicable to various parts of food systems, from fields and farms to global supply chains, and in fact to any system for which it is possible to adopt empirical information regarding the responses by its components to the critical factors of variability and change. The operationalization of the response diversity for resilience management, however, requires retooling as well.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Advances in Food Security and Sustainability

  • Publication date

    Unknown publication date

  • Fields of study

    Agricultural and Food Sciences, Business, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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REFERENCES

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