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Characterizing Species at Risk II: Using Bayesian Belief Networks as Decision Support Tools to Determine Species Conservation Categories Under the Northwest Forest Plan

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dc.contributor.author Marcot, Bruce G. en_US
dc.contributor.author Hohenlohe, Paul A. en_US
dc.contributor.author Morey, Steve en_US
dc.contributor.author Holmes, Russ en_US
dc.contributor.author Molina, Randy en_US
dc.contributor.author Turley, Marianne C. en_US
dc.contributor.author Huff, Mark H. en_US
dc.contributor.author Laurence, John A. en_US
dc.date.accessioned 2009-07-31T14:53:36Z
dc.date.available 2009-07-31T14:53:36Z
dc.date.issued 2006 en_US
dc.date.submitted 2009-04-21 en_US
dc.date.submitted 2009-04-21 en_US
dc.identifier.uri https://hdl.handle.net/10535/2771
dc.description.abstract "We developed a set of decision-aiding models as Bayesian belief networks (BBNs) that represented a complex set of evaluation guidelines used to determine the appropriate conservation of hundreds of potentially rare species on federally-administered lands in the Pacific Northwest United States. The models were used in a structured assessment and paneling procedure as part of an adaptive management process that evaluated new scientific information under the Northwest Forest Plan. The models were not prescriptive but helped resource managers and specialists to evaluate complicated and at times conflicting conservation guidelines and to reduce bias and uncertainty in evaluating the scientific data. We concluded that applying the BBN modeling framework to complex and equivocal evaluation guidelines provided a set of clear, intuitive decision-aiding tools that greatly aided the species evaluation and conservation process." en_US
dc.subject Bayesian learning en_US
dc.subject decision making en_US
dc.subject modeling en_US
dc.subject risk en_US
dc.subject conservation en_US
dc.title Characterizing Species at Risk II: Using Bayesian Belief Networks as Decision Support Tools to Determine Species Conservation Categories Under the Northwest Forest Plan en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.coverage.region North America en_US
dc.coverage.country United States en_US
dc.subject.sector Theory en_US
dc.subject.sector Forestry en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 11 en_US
dc.identifier.citationnumber 2 en_US
dc.identifier.citationmonth December en_US


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