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Grantee Research Project Results

Publications Details for Grant Number R835795

Integrated Modeling Approaches to Support Systems-Based Ecological Risk Assessment

RFA: Systems-Based Research for Evaluating Ecological Impacts of Manufactured Chemicals (2014)

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Journal Article (2)
Presentation (11)
Reference Type Citation Progress Report Year Document Sources
Journal Article Landis W, Chu V, Graham S, Jarris M, Markiewicz A, Mitchell C, von Stackelberg K, Stark J. Integration of Chlorpyrifos Acetylcholinesterase Inhibition, Water Temperature, and Dissolved Oxygen Concentration into a Regional Scale Multiple Stressor Risk Assessment Estimating Risk to Chinook Salmon. INTEGRATED ENVIORNMENTAL ASSESSMENT AND MANAGEMENT 2019;16(1):28-42. R835795 (Final)
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Journal Article Mitchell CJ, Lawrence E, Chu VR, Harris MJ, Landis WG, von Stacekberg KE, Stark JD. Integrating Metapopulation Dynamics into a Bayesian Network Relative Risk Model:Assessing Risk of Pesticides to Chinook Salmon (Oncorhynchus tshawytscha) in an Ecological Context. INTEGRATED ENVIORNMENTAL ASSESSMENT AND MANAGEMENT2020;17(1):95-109. R835795 (Final)
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Presentation Landis WG, Graham S, Harris M, Mitchell CJ, von Stackelberg K. Molecular to Landscape: the integration of adverse outcome pathways into a regional scale pesticide driven risk assessment for Chinook salmon in Puget Sound watersheds. Presented at the Society of Environmental Toxicology and Chemistry (SETAC) Europe 27th Annual Meeting, Brussels, Belgium, May 7-11, 2017 (Abstract No. 435). R835795 (2016)
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Presentation Stark JD, von Stackelberg KE, Landis W. Advances in estimating the effects of chemical stressors on populations. Presented at the Pacific Northwest Chapter, Society of Environmental Toxicology and Chemistry 25th Annual Meeting, Bellingham, WA, June 1-4, 2016. R835795 (2015)
R835795 (2016)
R835795 (2017)
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Presentation von Stackelberg KE. Quantitative tools for linking adverse outcome pathways with process models: Bayesian relative risk networks. Presented at ACES 2016: A Community on Ecosytem Services Conference, Ft. Lauderdale, FL, December 5-9, 2016. R835795 (2016)
R835795 (2017)
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Presentation von Stackelberg KE. Building a predictive adverse outcome pathway for acetylcholinesterase inhibitors for population scale endpoints. Presented at the 7th Society of Environmental Toxicology and Chemistry (SETAC) World Congress/SETAC North America 37th Annual Meeting, Orlando, FL, November 6-10, 2016 (platform). R835795 (2015)
R835795 (2016)
R835795 (2017)
not available
Presentation von Stackelberg KE. Quantitative tools for linking adverse outcome pathways with process models: Bayesian relative risk networks. Presented at the Ninth International Battelle Conference on Remediation and Management of Contaminated Sediments, New Orleans, LA, January 9-12, 2017. R835795 (2016)
R835795 (2017)
not available
Presentation von Stackelberg K. Methods for building a quantitative adverse outcome pathway for acetylcholinesterase inhibitors using Bayesian networks. Poster presented at the 7th Society of Environmental Toxicology and Chemistry (SETAC) World Congress/SETAC North America 37th Annual Meeting, Orlando, FL, November 6-10, 2016. R835795 (2016)
R835795 (2017)
not available
Presentation von Stackelberg K. Quantitative methods for linking adverse outcome pathways and population models. Presented at the 7th Society of Environmental Toxicology and Chemistry (SETAC) World Congress/SETAC North America 37th Annual Meeting, Orlando, FL, November 6-10, 2016 (platform). R835795 (2016)
R835795 (2017)
not available
Presentation von Stackelberg K. Why point estimates of mortality may result in inaccurate population modeling and pesticide risk assessment. Presented at the 7th Society of Environmental Toxicology and Chemistry (SETAC) World Congress/SETAC North America 37th Annual Meeting, Orlando, FL, November 6-10, 2016 (platform). R835795 (2016)
R835795 (2017)
not available
Presentation Moe J, Landis WG, Xie L, Tollefsen K. Quantification of AOP by Bayesian network modelling:linking 3,5-DCP exposure to adverse outcomes in Lemna minor. Society of Environmental Toxicology and Chemistry Europe Annual Meeting, Rome, Italy May 13-17, 2018. R835795 (2017)
not available
Presentation Landis WG, von Stackelberg KE, Stark JD, Harris MJ, Chu VR, Mitchell CJ, Wallis LK. Using the Bayesian Network Relative Risk Model to Integrate Molecular Effects, Ecological Context and Ecosystems Services to Estimate Risk over Space and Time. Pacific Northwest Chapter of the Society of Environmental Toxicology and Chemistry. Corvallis OR 2018. R835795 (2017)
not available
Presentation Landis WG, Stark JS, von Stackelberg K, Mitchell C, Chu V, Harris M, Wallis L. Using the Bayesian network relative risk model to integrate molecular effects, ecological context and ecosystem services to estimate risk over space and time. Society of Environmental Toxicology and Chemistry Europe Annual Meeting, Rome, Italy May 13-17, 2018. R835795 (2017)
not available

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The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.

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