The Origin, Development, Application, Lessons Learned, and Future Regarding the Bayesian Network Relative Risk Model for Ecological Risk Assessment-Reference-Cited by-同舟云学术

The Origin, Development, Application, Lessons Learned, and Future Regarding the Bayesian Network Relative Risk Model for Ecological Risk Assessment

Published:2020-11-16 Issue:1 Volume:17 Page:79-94
ISSN:1551-3777
Container-title:Integrated Environmental Assessment and Management
language:en
Short-container-title:Integr Environ Assess Manag

Author:

Landis Wayne G¹

Affiliation:

1. Institute of Environmental Toxicology and Chemistry, Huxley College of the Environment Western Washington University Bellingham Washington USA

Funder

National Science Foundation

California Department of Pesticide Regulation

Publisher

Wiley

Subject

General Environmental Science,General Medicine,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ieam.4351

Reference39 articles.

1. A Pilot Application of Regional Scale Risk Assessment to the Forestry Management of the Upper Grande Ronde Watershed, Oregon

2. Analysis of Regional Scale Risk of Whirling Disease in Populations of Colorado and Rio Grande Cutthroat Trout Using a Bayesian Belief Network Model

3. A Bayesian Approach to Landscape Ecological Risk Assessment Applied to the Upper Grande Ronde Watershed, Oregon

4. Regional Ecological Risk Assessment for Australia's Tropical Rivers: Application of the Relative Risk Model

5. BrownEA.2020. Integrating synthetic biology derived variables into ecological risk assessment using the Bayesian network—Relative risk model: Gene drives to control nonindigenous M. musculus on Southeast Farallon Island [Master's thesis]. Bellingham (WA): Western Washington Univ.

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