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)
Other Views
- All
Publications - Selected
Publication Types - Journal
Articles - Publications Submitted
After Final Report - Redisplay this page without
Reference Title, Journal, and Author Columns - Display this Page
in RIS Format
Reference Type | Reference Title | Journal | Author | Citation | Progress Report Year | Document Sources |
---|---|---|---|---|---|---|
Journal Article | 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 | Landis W, Chu V, Graham S, Jarris M, Markiewicz A, Mitchell C, von Stackelberg K, Stark J | 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) |
|
Journal Article | 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 MANAGEMENT | Mitchell CJ, Lawrence E, Chu VR, Harris MJ, Landis WG, von Stacekberg KE, Stark JD | 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) |
|
Presentation | Molecular to Landscape: the integration of adverse outcome pathways into a regional scale pesticide driven risk assessment for Chinook salmon in Puget Sound watersheds. | None | Landis WG, Graham S, Harris M, Mitchell CJ, von Stackelberg K | 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) |
|
Presentation | Advances in estimating the effects of chemical stressors on populations. | None | Stark JD, von Stackelberg KE, Landis W | 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) |
|
Presentation | Quantitative tools for linking adverse outcome pathways with process models: Bayesian relative risk networks. | None | von Stackelberg KE | 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) |
|
Presentation | Building a predictive adverse outcome pathway for acetylcholinesterase inhibitors for population scale endpoints. | None | von Stackelberg KE. | 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 | Quantitative tools for linking adverse outcome pathways with process models: Bayesian relative risk networks. | None | von Stackelberg KE | 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 | Methods for building a quantitative adverse outcome pathway for acetylcholinesterase inhibitors using Bayesian networks. | None | von Stackelberg K | 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 | Quantitative methods for linking adverse outcome pathways and population models. | None | von Stackelberg K | 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 | Why point estimates of mortality may result in inaccurate population modeling and pesticide risk assessment. | None | von Stackelberg K | 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 | Quantification of AOP by Bayesian network modelling:linking 3,5-DCP exposure to adverse outcomes in Lemna minor. | None | Moe J, Landis WG, Xie L, Tollefsen K | 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 | Using the Bayesian Network Relative Risk Model to Integrate Molecular Effects, Ecological Context and Ecosystems Services to Estimate Risk over Space and Time. | None | Landis WG, von Stackelberg KE, Stark JD, Harris MJ, Chu VR, Mitchell CJ, Wallis LK | 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 | Using the Bayesian network relative risk model to integrate molecular effects, ecological context and ecosystem services to estimate risk over space and time. | None | Landis WG, Stark JS, von Stackelberg K, Mitchell C, Chu V, Harris M, Wallis L | 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 |
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.