| Registro completo |
| Provedor de dados: |
Ecology and Society
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| País: |
Canada
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| Título: |
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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| Autores: |
Marcot, Bruce G; USDA Forest Service; bmarcot@fs.fed.us
Hohenlohe, Paul A; Oregon State University; hohenlop@science.oregonstate.edu
Morey, Steve; USDI Fish and Wildlife Service; steven_morey@fws.gov
Holmes, Russ; USDA Forest Service; russellholmes@fs.fed.us
Molina, Randy; USDA Forest Service; rmolina@fs.fed.us
Turley, Marianne C; USDI Bureau of Land Management; mturley@fs.fed.us
Huff, Mark H; USDI Fish and Wildlife Service; Mark_Huff@fws.gov
Laurence, John A; USDA Forest Service; jalaurence@fs.fed.us
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| Data: |
2006-09-28
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| Ano: |
2006
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| Palavras-chave: |
Bayesian belief networks
Decision models
Expert panels
Risk analysis
Northwest Forest Plan
Species conservation.
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| Resumo: |
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.
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| Tipo: |
Peer-Reviewed Reports
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| Idioma: |
Inglês
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| Identificador: |
vol11/iss2/art12/
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| Editor: |
Resilience Alliance
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| Formato: |
text/html application/pdf
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| Fonte: |
Ecology and Society; Vol. 11, No. 2 (2006)
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