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Registros recuperados: 4
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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 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
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Characterizing Species at Risk I: Modeling Rare Species Under the Northwest Forest Plan Ecology and Society
Marcot, Bruce G; USDA Forest Service; bmarcot@fs.fed.us.
The Northwest Forest Plan in the Pacific Northwest, United States includes directives for survey and site protection of hundreds of rare species across many taxonomic classes. To help direct survey activities, prioritize sites, and stand conditions for conservation of these species, I developed Bayesian belief network (BBN) models of habitat relationships and multiple stressors predicting presence of 12 rare species, and I present an example of predicting presence and absence of a rare fungus. The BBN models are developed along a rigorous process of expert judgment, peer review, reconciliation, accuracy testing, and incremental updating with known site data and validation data. Management implications of prediction errors are discussed.
Tipo: Peer-Reviewed Reports Palavras-chave: Bayesian belief networks; Bridgeoporus nobilissimus; Model validation; Northwest Forest Plan; Rare species models; Pacific Northwest..
Ano: 2006
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Local Employment Growth, Migration, and Public Land Policy: Evidence from the Northwest Forest Plan AgEcon
Eichman, Henry; Hunt, Gary L.; Kerkvliet, Joe; Plantinga, Andrew J..
Debates over protecting public land reveal two views. Some argue protection reduces commodity production, reducing local employment and increasing out-migration. Others contend protection produces amenities that support job growth and attract migrants. We test these competing views for the Northwest Forest Plan (NWFP), which reallocated 11 million acres of federal land from timber production to protecting old-growth forest species. We find evidence that land protection directly reduced local employment growth and increased net migration. The total negative effect on employment was offset only slightly by positive migration-driven effects. Employment losses were concentrated in metropolitan counties, but percentage losses were higher in rural counties.
Tipo: Journal Article Palavras-chave: Amenities; Employment growth; Migration; Northwest Forest Plan; Oldgrowth forests; Public land management; Community/Rural/Urban Development; Land Economics/Use.
Ano: 2010 URL: http://purl.umn.edu/93222
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Federal Forest Policy and Community Prosperity in the Pacific Northwest AgEcon
Weber, Bruce A.; Chen, Yong.
Tipo: Article Palavras-chave: Amenities; Community Wealth; Federal Forest Policy; Income; Northern Spotted Owl; Northwest Forest Plan; Community/Rural/Urban Development; Environmental Economics and Policy; Land Economics/Use; R11; R12.
Ano: 2012 URL: http://purl.umn.edu/122803
Registros recuperados: 4
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