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Full-Text Articles in Life Sciences
Technical Memo: Incorporating Mixture Toxicity Into Bayesian Networks To Calculate Risk To Pesticides In The Upper San Francisco Estuary., Eric J. Lawrence, Skyler R. Elmstrom, Emma E. Sharpe, Wayne G. Landis
Technical Memo: Incorporating Mixture Toxicity Into Bayesian Networks To Calculate Risk To Pesticides In The Upper San Francisco Estuary., Eric J. Lawrence, Skyler R. Elmstrom, Emma E. Sharpe, Wayne G. Landis
Institute of Environmental Toxicology & Chemistry Publications
This memo presents the methods we have developed to calculate risk of mixtures of pesticides for the Upper San Francisco Estuary (USFE). We used curve fitting to estimate the exposure-response curves for each individual chemical and then the mixture. For the mixture the models were normalized for specific ECx values. In that way the curve fitting was optimized for effects that are similar to most threshold values. A Bayesian network was then built that incorporated four different pesticides and a specific mode of action. The input distributions of the pesticides were measured amounts from each of the six risk regions. …
Vignette 16: Vulnerability And Climate Change Adaptation, Northwest Indian Fisheries Commission, Jamestown S'Klallam Tribe
Vignette 16: Vulnerability And Climate Change Adaptation, Northwest Indian Fisheries Commission, Jamestown S'Klallam Tribe
Institute Publications
The 2013 Jamestown Climate Vulnerability Assessment and Adaptation Plan provides an assessment of vulnerabilities of tribal resources to the negative impacts of climate change. The plan also identifies adaptation measures that the tribe is working to complete. Sea level rise, ocean acidification and climate models show potential for increased risks to critical habitats, tribal infrastructure and tribal health. As one of the first tribes in western Washington to complete a climate adaptation plan and vulnerability assessment, the Jamestown S’Klallam Tribe has identified and prioritized areas where changing climate conditions will leave tribal resources, infrastructure, economy and health most vulnerable, Climate …