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	Provedor de dados Ecology and Society (1) Autor Hohenlohe, Paul A; Oregon State University; hohenlop@science.oregonstate.edu (1) Holmes, Russ; USDA Forest Service; russellholmes@fs.fed.us (1) Huff, Mark H; USDI Fish and Wildlife Service; Mark_Huff@fws.gov (1) Laurence, John A; USDA Forest Service; jalaurence@fs.fed.us (1) Marcot, Bruce G; USDA Forest Service; bmarcot@fs.fed.us (1) Molina, Randy; USDA Forest Service; rmolina@fs.fed.us (1) Morey, Steve; USDI Fish and Wildlife Service; steven_morey@fws.gov (1) Turley, Marianne C; USDI Bureau of Land Management; mturley@fs.fed.us (1) Mais... Palavra-chave Bayesian belief networks (1) Decision models (1) Expert panels (1) Northwest Forest Plan (1) Risk analysis (1) Species conservation. (1) Mais... Tipo do documento Peer-Reviewed Reports (1) Ano 2006 (1) País Canada (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Characterizing Species at Risk II: Using Bayesian Belief Networks as Decision Support Tools to Determine Species Conservation Categories Under the Northwest Forest Plan Ecology and Society 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. 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... Tipo: Peer-Reviewed Reports Palavras-chave: Bayesian belief networks; Decision models; Expert panels; Risk analysis; Northwest Forest Plan; Species conservation.. Ano: 2006 Registros recuperados: 1 Primeira ... 1 ... Última

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