Relative Risk Models Using Bayesian Networks: Application, Communication and Regulatory Use (SETAC 2018)

Conference slide deck describing a Bayesian network–based Relative Risk Model (BN-RRM) and its application to the mercury-contaminated South River watershed (Waynesboro, VA). Covers model framework, risk regions, ecological receptors (e.g., smallmouth bass, Carolina wren), scenario simulations for mercury load reductions, communication/transparency considerations, and role of BN-RRM within enhanced adaptive management.