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Recent advances in applying decision science to managing national forests

Forest Ecology and Management

By:
, , , , , , , , and
DOI: 10.1016/j.foreco.2012.08.024

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Abstract

Management of federal public forests to meet sustainability goals and multiple use regulations is an immense challenge. To succeed, we suggest use of formal decision science procedures and tools in the context of structured decision making (SDM). SDM entails four stages: problem structuring (framing the problem and defining objectives and evaluation criteria), problem analysis (defining alternatives, evaluating likely consequences, identifying key uncertainties, and analyzing tradeoffs), decision point (identifying the preferred alternative), and implementation and monitoring the preferred alternative with adaptive management feedbacks. We list a wide array of models, techniques, and tools available for each stage, and provide three case studies of their selected use in National Forest land management and project plans. Successful use of SDM involves participation by decision-makers, analysts, scientists, and stakeholders. We suggest specific areas for training and instituting SDM to foster transparency, rigor, clarity, and inclusiveness in formal decision processes regarding management of national forests.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Recent advances in applying decision science to managing national forests
Series title:
Forest Ecology and Management
DOI:
10.1016/j.foreco.2012.08.024
Volume
285
Year Published:
2012
Language:
English
Publisher:
Elsevier
Publisher location:
Amsterdam, Netherlands
Contributing office(s):
Patuxent Wildlife Research Center
Description:
10 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Forest Ecology and Management
First page:
123
Last page:
132
Country:
United States