Climatic Change

, Volume 87, Issue 3–4, pp 385–403 | Cite as

AgClimate: a case study in participatory decision support system development

  • N. E. BreuerEmail author
  • V. E. Cabrera
  • K. T. Ingram
  • K. Broad
  • P. E. Hildebrand


Potential economic benefit exists from the use of seasonal climate forecasts in agriculture. To assess potential end user attitudes toward and interests in climate data, and to provide inputs from users to the development of decision support tools, we conducted a series of surveys. Survey results affected the design, development, and enhancement of AgClimate, a web-based decision support system for minimizing climate risks to agriculture. The overall process is an example of how decision makers can participate in the research process, thereby improving the value and relevance of research products such as decision support systems.


Decision Support System Climate Information Climate Forecast Extension Agent Seasonal Climate Forecast 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • N. E. Breuer
    • 1
    • 5
    Email author
  • V. E. Cabrera
    • 2
  • K. T. Ingram
    • 3
  • K. Broad
    • 1
  • P. E. Hildebrand
    • 4
  1. 1.Rosenstiel School of Marine and Atmospheric SciencesUniversity of MiamiGainesvilleUSA
  2. 2.New Mexico State UniversityClovisUSA
  3. 3.Agricultural and Biological Engineering DepartmentUniversity of FloridaGainesvilleUSA
  4. 4.Food and Resource Economics DepartmentUniversity of FloridaGainesvilleUSA
  5. 5.GainesvilleUSA

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