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Identifying the challenges of promoting ecological weed management (EWM) in organic agroecosystems through the lens of behavioral decision making

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  • Sarah Zwickle

  • Robyn Wilson
  • Doug Doohan

Abstract

Ecological weed management (EWM) is a scientifically established management approach that uses ecological patterns to reduce weed seedbanks. Such an approach can save organic farmers time and labor costs and reduce the need for repeated cultivation practices that may pose risks to soil and water quality. However, adoption of effective EWM in the organic farm community is perceived to be poor. In addition, communication and collaboration between the scientific community, extension services, and the organic farming community in the US is historically weak. In order to uncover the most persistent obstacles to promoting effective weed management in organic agroecosystems, we use the mental models approach to generate an expert model based on interviews with experts (e.g., weed scientists, weed ecologists, and extension personnel) and theories from the behavioral sciences. The expert model provides two main insights: (1) EWM is a complex strategy that may cause farmers to use heuristics in management decisions and (2) the long-term benefits of EWM, rather than the risks, need to be emphasized in communication with and outreach to organic farmers. The basis for new research topics and outreach material that incorporates these insights from the expert model are discussed. We briefly explain how the expert model is an incomplete picture of on-farm practices, but provides the basis for the second step of our mental models research, the farmer interviews and farmer decision model development. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Sarah Zwickle & Robyn Wilson & Doug Doohan, 2014. "Identifying the challenges of promoting ecological weed management (EWM) in organic agroecosystems through the lens of behavioral decision making," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(3), pages 355-370, September.
    • Handle: RePEc:spr:agrhuv:v:31:y:2014:i:3:p:355-370
    DOI: 10.1007/s10460-014-9485-7
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    References listed on IDEAS

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    1. Jason Parker & Robyn Wilson & Jeffrey LeJeune & Douglas Doohan, 2012. "Including growers in the “food safety” conversation: enhancing the design and implementation of food safety programming based on farm and marketing needs of fresh fruit and vegetable producers," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 29(3), pages 303-319, September.
    2. Hanson, James C. & Dismukes, Robert & Chambers, William & Greene, Catherine R. & Kremen, Amy, 2003. "Risk And Risk Management In Organic Agriculture: View Of Organic Farmers," Working Papers 28551, University of Maryland, Department of Agricultural and Resource Economics.
    3. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    4. Slovic, Paul & Finucane, Melissa L. & Peters, Ellen & MacGregor, Donald G., 2007. "The affect heuristic," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1333-1352, March.
    5. Thomas C. Brown, 1984. "The Concept of Value in Resource Allocation," Land Economics, University of Wisconsin Press, vol. 60(3), pages 231-246.
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    1. Douglas L. Bessette & Daniel C. Brainard & Ajit K. Srivastava & Woongkul Lee & Sarah Geurkink, 2022. "Battery Electric Tractors: Small-Scale Organic Growers’ Preferences, Perceptions, and Concerns," Energies, MDPI, vol. 15(22), pages 1-14, November.

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