The BNMA BN Repository

This repository is a resource for posting and downloading Bayesian network models for sharing with others and for providing supporting material for publications. Please respect authors' rights where noted.

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5 BNs found.

BrownTroutBDN_v250804

This model provides a decision advisory tool for determining the efficacy of habitat management for restoring and maintaining brown trout populations in affected stream environments.

C.J. Kotalik, F.E. Rowland, B.G. Marcot
Netica .dne format
Kotalik, C.J., Rowland, F.E., Marcot, B.G., Skrabis, K., Walters, D.M., Hinck, J.E., Clements, W., Richer, E. & Isanhart, J. (2026) Causal networks to inform decisions for ecological restoration. Environmental Management, 76(7)
FISRAM Freshwater Species 190213

This model is used to determine the degree to which an introduced species of freshwater fish might be invasive and injurious. The model is used by the U.S. Fish and Wildlife Service to help inform on species for potential exclusion of importation.

B. G. Marcot, M. H. Hoff, C. D. Martin, S. D. Jewell, and C. E. Givens
Netica .dne format
Marcot, B.G., Hoff, M.H., Martin, C.D., Jewell, S.D. & Givens, C.E. (2019) A decision advisory system for identifying potentially invasive and injurious freshwater fishes. Management of Biological Invasions 10(2):200-226.
Biology > Ecology
Bull Trout Food Web

This model illustrates potential food web and species interaction dynamics related to interactions between bull trout (Salvelinus confluentus) and anadromous salmonid fish existing in the same river system. (Explanation of nodes: small bull trout = at least juveniles and possibly resident adults; terrestrial wildlife predators = some amphibians, reptiles, birds, and mammals; juvenile [juv.] anadromous salmonids eaten = average annual percentage of total juvenile anadromous salmonids that are consumed by fish and other predators; juvenile anadromous salmonids = parr to smolt stages, although some bull trout predation on eggs also occurs; popn = population; anadromous reproduction = number of offspring [embryos] produced by spawning adult salmonids; other sources of mortality = poor water quality, passage through reservoirs and past dams, natural disturbances, etc.).

Jason Dunham, Chris S. Allen, Bruce G. Marcot
Netica .dne format
Marcot, B.G., Allen, C.S., Morey, S., Shively, D. & White, R. (2012) An expert panel approach to assessing potential effects of bull trout reintroduction on federally listed salmonids in the Clackamas River, Oregon. North American Journal of Fisheries Management, 32(3):450-465, Taylor \& Francis
Polar Bear Stressor Model, Phase I (2007-08)

In 2007-08, to inform the U.S. Fish and Wildlife Service decision, whether or not to list polar bears as threatened under the Endangered Species Act (ESA), we projected the status of the world’s polar bears (Ursus maritimus) for decades centered on future years 2025, 2050, 2075, and 2095. We defined four ecoregions based on current and projected sea ice conditions: seasonal ice, Canadian Archipelago, polar basin divergent, and polar basin convergent ecoregions. We incorporated general circulation model projections of future sea ice into a Bayesian network (BN) model structured around the factors considered in ESA decisions. This first-generation (Phase I) BN model combined empirical data, interpretations of data, and professional judgments of one polar bear expert into a probabilistic framework that identifies causal links between environmental stressors and polar bear responses. The BN model projected extirpation of polar bears from the seasonal ice and polar basin divergent ecoregions, where ≈2/3 of the world’s polar bears currently occur, by mid century. Decline in ice habitat was the overriding factor driving the model outcomes.

The Polar Bear Stressor Model, Phase II (2016) can be found here: <abnms.org...>

Bruce G. Marcot, Steven C. Amstrup, David C. Douglas
Netica .dne format
Amstrup, S.C., Marcot, B.G. & Douglas, D.C. (2008) A Bayesian network modeling approach to forecasting the 21st century worldwide status of polar bears. Arctic sea ice decline: observations, projections, mechanisms, and implications, pages 213-268, Wiley Online LibraryAmstrup, S.C., DeWeaver, E.T., Douglas, D.C., Marcot, B.G., Durner, G.M., Bitz, C.M. & Bailey, D.A. (2010) Greenhouse gas mitigation can reduce sea-ice loss and increase polar bear persistence. Nature, 468(7326):955-958, Nature Publishing Group
Native Fish V1

This BN calculates the probability of native fish abundance given pesticide in use and in river, drought conditions, river flow, annual rainfall and tree conditions.

Bayesian Intelligence
Netica .dne format
Biology > Ecology