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Watershed Planning within a Quantitative Scenario Analysis Framework
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Published on: July 24, 2016

Integrating local and scientific knowledge for environmental management.

Christopher M Raymond1, Ioan Fazey, Mark S Reed

  • 1Centre for Rural Health and Community Development, University of South Australia, Australia. chris.raymond@enviroconnect.com.au

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Integrating local and scientific knowledge for environmental management is complex. This study suggests focusing on flexible, systematic processes rather than fixed products for better knowledge integration outcomes.

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Area of Science:

  • Environmental Management
  • Knowledge Integration Studies
  • Socio-Environmental Systems

Background:

  • Effective environmental management requires integrating diverse knowledge systems.
  • Challenges exist in combining local and scientific knowledge due to differing perspectives and classifications.
  • Previous approaches often focused on developing integration products rather than processes.

Purpose of the Study:

  • To evaluate processes and mechanisms for integrating different knowledge types in environmental management.
  • To develop a framework of questions for guiding knowledge integration in projects.
  • To compare project-based knowledge integration approaches in diverse geographical contexts.

Main Methods:

  • Literature review of knowledge integration challenges.
  • Development of guiding questions for project design and delivery.
  • Comparative case study analysis of three environmental management projects (UK, Solomon Islands, Australia).

Main Results:

  • Knowledge integration is inherently complex, with arbitrary classifications and diverse perspectives.
  • No single optimal approach exists for integrating local and scientific knowledge.
  • Project case studies highlighted the qualitative differences in knowledge integration.

Conclusions:

  • A shift is needed from knowledge integration products to problem-focused, systematic, reflexive, and cyclic processes.
  • Environmental managers and researchers should adopt adaptable processes for integrating multiple knowledge views and methods.
  • Future work should emphasize the development and evaluation of such integration processes.