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A Structured Framework for Adaptive Management: Bridging Theory and Practice in the Olympic Experimental State Forest


 Adaptive management is a systematic approach to learning from outcomes to improve management. Although its virtues are commonly praised, it has been implemented infrequently in natural resource management because of the challenges of developing a feasible process that can be sustained over time. Our analysis of regional experiences from private, state, and federal lands in the Pacific Northwest (United States and Canada) finds that the questions addressed by private organizations tend to be more specific, associated with a narrower scope of uncertainties, and addressed in a shorter time frame with limited stakeholder involvement. On publicly managed lands, questions tend to be more complex and open-ended, usually driven by their mandate for multiple use and high level of stakeholder engagement. We present a structured adaptive management framework that translates theory into action by describing an implementation process and organizational structure, explicitly linking learning to management planning and implementation, and integrating the technical and social aspects of adaptive management. Forest managers and policymakers can customize our example according to their mandate and management objectives. The framework is particularly relevant to land management for multiple uses, where the uncertainties are abundant and complex, and the decisionmakers increasingly use mathematical modeling to inform their decisions.