This slide presentation demonstrates updating Bayesian network relative-risk models with mercury modeling outputs to evaluate effects of bank stabilization on multiple endpoints (smallmouth bass, white sucker, Carolina wren, belted kingfisher, and fishing river use). It compares Hg reduction scenarios (25–100%) and single- versus multiple-stressor updates, uses Netica and expert elicitation, and reports only modest overall risk reductions, largest downstream.
File Type:
pdf
Categories:
Presentations
Publication Date :
Type :
Presentation
Review Notes :
PDF is a slide deck with authors and affiliation shown on title slide (Wayne G. Landis et al., Western Washington University). No publication or presentation date is visible in the PDF, so document_date is left null. Findings (modest risk reductions; largest effects in downstream Region 4) and methods (Netica Bayesian networks, expert elicitation, Hg model inputs, 25–100% scenarios) are drawn directly from the slides.
