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Making Monitoring Count: Project Design for Active Adaptive Management

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Abstract:

Ongoing environmental change requires that managers develop strategies capable of achieving multiple objectives in an uncertain future. Active adaptive management (AAM) offers a robust approach to reducing uncertainty while also considering diverse stakeholder perspectives. Important features of AAM include recognition of learning as a management objective, integration of monitoring throughout all aspects of project design and implementation, and use of experimental design in project planning. These features facilitate collaborator engagement and adaptive management based on credible inferences about treatment effects. AAM is not research: the primary goal in AAM is to meet management objectives, one of which is to learn about tradeoffs among alternative management approaches. We outline a pragmatic method to enhance the value of monitoring by incorporating experimental design principles into project planning, including a checklist of key questions for decisionmakers and stakeholders, and illustrate these concepts with an example from the Helena National Forest, Montana, USA.

Keywords: National Environmental Policy Act of 1969 (NEPA); collaboration; science-based management

Document Type: Research Article

DOI: https://doi.org/10.5849/jof.13-021

Publication date: 2013-09-01

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  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    2015 Impact Factor: 1.476
    Ranking: 22 of 66 in forestry

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