Bridging Knowledge Systems to Guide Natural Resource Decision-Making
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Abstract
International agreements call for inclusion of Indigenous and local knowledge in resource management, yet practical approaches remain underdeveloped. We argue that knowledge co-assessment offers a feasible pathway. Drawing on examples from practice in the Arctic, we provide guidance for equitable engagement, communication, and scaling, ensuring legitimacy, inclusivity, and actionable governance.
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This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18353772.
This manuscript examines challenges associated with "bridging knowledge systems" (i.e., incorporating Indigenous (IK), local (LK), and scientific knowledge into natural resource decision-making) and introduces knowledge co-assessment as a potential alternative to co-production. Drawing on existing Arctic governance practices, the authors describe how knowledge from multiple systems may be jointly considered and outline a set of practical approaches intended to support more inclusive governance. Overall, this work offers a useful starting point for researchers and practitioners interested in inclusive decision-making processes.
Major issues
The manuscript's scope was clearly defined, and …
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18353772.
This manuscript examines challenges associated with "bridging knowledge systems" (i.e., incorporating Indigenous (IK), local (LK), and scientific knowledge into natural resource decision-making) and introduces knowledge co-assessment as a potential alternative to co-production. Drawing on existing Arctic governance practices, the authors describe how knowledge from multiple systems may be jointly considered and outline a set of practical approaches intended to support more inclusive governance. Overall, this work offers a useful starting point for researchers and practitioners interested in inclusive decision-making processes.
Major issues
The manuscript's scope was clearly defined, and the arguments are generally well supported by the examples provided.
Minor issues
Figure 1 is clear and useful, but readers would benefit from a slightly more explicit walkthrough in the text. It may also be helpful to include an associated checklist/protocol.
Competing interests
The author declares that they have no competing interests.
Use of Artificial Intelligence (AI)
The author declares that they did not use generative AI to come up with new ideas for their review.
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