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Resilience Assessment of Swiss Farming Systems: Piloting the SHARP-Tool in Vaud

Author

Listed:
  • Florence Diserens

    (Department of Environmental Systems Science, Sustainable Agroecosystems Group, Institute for Agricultural Sciences, ETH Zurich, 8092 Zürich, Switzerland)

  • John Michael Humphries Choptiany

    (Independent Consultant, London E32JJ, UK)

  • Dominique Barjolle

    (Department of Environmental Systems Science, Sustainable Agroecosystems Group, Institute for Agricultural Sciences, ETH Zurich, 8092 Zürich, Switzerland)

  • Benjamin Graeub

    (Independent Consultant, New York, NY 10016, USA)

  • Claire Durand

    (Department of Environmental Systems Science, Sustainable Agroecosystems Group, Institute for Agricultural Sciences, ETH Zurich, 8092 Zürich, Switzerland)

  • Johan Six

    (Department of Environmental Systems Science, Sustainable Agroecosystems Group, Institute for Agricultural Sciences, ETH Zurich, 8092 Zürich, Switzerland)

Abstract

Farm systems are exposed to predictable and unpredictable shocks and stresses. Such events may affect the functioning of farm systems and threaten their capacity to provide food in adequate quantities and sufficient quality. The capacity of farm systems to recover, reorganize, and evolve following external shocks and stresses is analysed within the framework of resilience theory. The SHARP (self-evaluation and holistic assessment of climate resilience of farmers and pastoralists) tool was developed to assess the resilience of farm systems to climate change in a participatory way. The SHARP was originally designed for developing countries. This paper outlines the process and changes made to adapt the tool for use in the Swiss farming context, including the challenges and trade-offs of the adaptation. Its first application in the Canton of Vaud provides insights on the levels of resilience to climate change for farmers in Switzerland. The results showed that of twenty-five farmers, “environment” and “market” are two groups of farm-system components where the farm systems are least resilient. The paper provides preliminary comments on agricultural systems in the west of Switzerland that could be explored further.

Suggested Citation

  • Florence Diserens & John Michael Humphries Choptiany & Dominique Barjolle & Benjamin Graeub & Claire Durand & Johan Six, 2018. "Resilience Assessment of Swiss Farming Systems: Piloting the SHARP-Tool in Vaud," Sustainability, MDPI, vol. 10(12), pages 1-19, November.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4435-:d:185800
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    References listed on IDEAS

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    1. Fikret Berkes, 2007. "Understanding uncertainty and reducing vulnerability: lessons from resilience thinking," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 41(2), pages 283-295, May.
    2. Ika Darnhofer, 2014. "Resilience and why it matters for farm management," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 41(3), pages 461-484.
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    Cited by:

    1. Desalegn A. Gugissa & Zewdu Abro & Tadele Tefera, 2022. "Achieving a Climate-Change Resilient Farming System through Push–Pull Technology: Evidence from Maize Farming Systems in Ethiopia," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
    2. Florence A. Becot & Shoshanah M. Inwood, 2022. "Medical economic vulnerability: a next step in expanding the farm resilience scholarship," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(3), pages 1097-1116, September.
    3. Ika Darnhofer, 2021. "Farming Resilience: From Maintaining States towards Shaping Transformative Change Processes," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    4. Perrin, Augustine & Cristobal, Magali San & Milestad, Rebecka & Martin, Guillaume, 2020. "Identification of resilience factors of organic dairy cattle farms," Agricultural Systems, Elsevier, vol. 183(C).

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