Literature DB >> 26799543

The multiple stressor ecological risk assessment for the mercury-contaminated South River and upper Shenandoah River using the Bayesian network-relative risk model.

Wayne G Landis1, Kimberley K Ayre1, Annie F Johns1, Heather M Summers1, Jonah Stinson1, Meagan J Harris1, Carlie E Herring1, April J Markiewicz1.   

Abstract

We have conducted a regional scale risk assessment using the Bayesian Network Relative Risk Model (BN-RRM) to calculate the ecological risks to the South River and upper Shenandoah River study area. Four biological endpoints (smallmouth bass, white sucker, Belted Kingfisher, and Carolina Wren) and 4 abiotic endpoints (Fishing River Use, Swimming River Use, Boating River Use, and Water Quality Standards) were included in this risk assessment, based on stakeholder input. Although mercury (Hg) contamination was the original impetus for the site being remediated, other chemical and physical stressors were evaluated. There were 3 primary conclusions from the BN-RRM results. First, risk varies according to location, type and quality of habitat, and exposure to stressors within the landscape. The patterns of risk can be evaluated with reasonable certitude. Second, overall risk to abiotic endpoints was greater than overall risk to biotic endpoints. By including both biotic and abiotic endpoints, we are able to compare risk to endpoints that represent a wide range of stakeholder values. Third, whereas Hg reduction is the regulatory priority for the South River, Hg is not the only stressor driving risk to the endpoints. Ecological and habitat stressors contribute risk to the endpoints and should be considered when managing this site. This research provides the foundation for evaluating the risks of multiple stressors of the South River to a variety of endpoints. From this foundation, tools for the evaluation of management options and an adaptive management tools have been forged. Integr Environ Assess Manag 2017;13:85-99.
© 2016 SETAC. © 2016 SETAC.

Entities:  

Keywords:  Bayesian network relative risk model; Ecological risk assessment; Mercury; South River; Virginia

Mesh:

Substances:

Year:  2016        PMID: 26799543     DOI: 10.1002/ieam.1758

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  4 in total

1.  Toward sustainable environmental quality: Priority research questions for Europe.

Authors:  Paul J Van den Brink; Alistair B A Boxall; Lorraine Maltby; Bryan W Brooks; Murray A Rudd; Thomas Backhaus; David Spurgeon; Violaine Verougstraete; Charmaine Ajao; Gerald T Ankley; Sabine E Apitz; Kathryn Arnold; Tomas Brodin; Miguel Cañedo-Argüelles; Jennifer Chapman; Jone Corrales; Marie-Agnès Coutellec; Teresa F Fernandes; Jerker Fick; Alex T Ford; Gemma Giménez Papiol; Ksenia J Groh; Thomas H Hutchinson; Hank Kruger; Jussi V K Kukkonen; Stefania Loutseti; Stuart Marshall; Derek Muir; Manuel E Ortiz-Santaliestra; Kai B Paul; Andreu Rico; Ismael Rodea-Palomares; Jörg Römbke; Tomas Rydberg; Helmut Segner; Mathijs Smit; Cornelis A M van Gestel; Marco Vighi; Inge Werner; Elke I Zimmer; Joke van Wensem
Journal:  Environ Toxicol Chem       Date:  2018-07-19       Impact factor: 3.742

2.  A Bayesian network approach to refining ecological risk assessments: Mercury and the Florida panther (Puma concolor coryi).

Authors:  John F Carriger; Mace G Barron
Journal:  Ecol Modell       Date:  2020-02-15       Impact factor: 2.974

Review 3.  An Overview of Literature Topics Related to Current Concepts, Methods, Tools, and Applications for Cumulative Risk Assessment (2007-2016).

Authors:  Mary A Fox; L Elizabeth Brewer; Lawrence Martin
Journal:  Int J Environ Res Public Health       Date:  2017-04-07       Impact factor: 3.390

4.  Parameterization Framework and Quantification Approach for Integrated Risk and Resilience Assessments.

Authors:  Mariana Goodall Cains; Diane Henshel
Journal:  Integr Environ Assess Manag       Date:  2020-10-08       Impact factor: 2.992

  4 in total

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