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Assessing local knowledge use in agroforestry management with cognitive maps.

Marney E Isaac1, Evans Dawoe, Krystyna Sieciechowicz

  • 1Faculty of Forestry, University of Toronto, 33 Willcocks Street, Earth Science Centre, Toronto, Canada, M5S 3B3. marney.isaac@utoronto.ca

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Summary

Small-holder farmers in Ghana use local knowledge for adaptable agroforestry management in cocoa farms. Cognitive mapping reveals farmers control many factors, emphasizing ecological processes for effective farm development.

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Area of Science:

  • Agricultural Science
  • Agroforestry
  • Ethnoscience

Background:

  • Small-holder farmers in Ghana's cocoa region utilize adaptable agroforestry techniques for diversified crop production.
  • Local knowledge significantly influences farm development and management strategies in cocoa agroforests.

Purpose of the Study:

  • To document and analyze local knowledge in cocoa agroforests to understand farmer decision-making.
  • To identify key agroforestry management variables and practices preferred by farmers.
  • To assess the suitability of cognitive mapping for evaluating local knowledge use.

Main Methods:

  • Employed 12 in-depth farmer interviews analyzing farm management variables.
  • Utilized cognitive mapping as a qualitative analysis method to represent farmer knowledge.
  • Focused on decision-making scope and the integration of ecological processes.

Main Results:

  • Cognitive maps revealed an average of 16 variables and 19 links per farmer.
  • Ecological processes, such as organic matter manipulation and shade management, were central (48% of variables).
  • Farmers demonstrated control over most farm characteristics, indicating adaptable management strategies.

Conclusions:

  • Local knowledge provides detailed indicators for site evaluation and farm management in cocoa production.
  • Adaptable agroforestry management strategies should integrate localized frameworks, especially under uncertainty.
  • Cognitive mapping is a valuable tool for developing management support systems for farmers.