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Full-Text Articles in Physical Sciences and Mathematics
Integration Of Chlorpyrifos Acetylcholinesterase Inhibition, Water Temperature, And Dissolved Oxygen Concentration Into A Regional Scale Multiple Stressor Risk Assessment Estimating Risk To Chinook Salmon, Wayne G. Landis, Valerie R. Chu, Scarlett E. Graham, Meagan J. Harris, April J. Markiewicz, Chelsea J. Mitchell, Katherine E. Von Stackelberg, John D. Stark
Integration Of Chlorpyrifos Acetylcholinesterase Inhibition, Water Temperature, And Dissolved Oxygen Concentration Into A Regional Scale Multiple Stressor Risk Assessment Estimating Risk To Chinook Salmon, Wayne G. Landis, Valerie R. Chu, Scarlett E. Graham, Meagan J. Harris, April J. Markiewicz, Chelsea J. Mitchell, Katherine E. Von Stackelberg, John D. Stark
IETC Publications
We estimated the risk to populations of Chinook salmon (Oncorhynchus tshawytscha) due to chlorpyrifos (CH), water temperature (WT), and dissolved oxygen concentration (DO) in 4 watersheds in Washington State, USA. The watersheds included the Nooksack and Skagit Rivers in the Northern Puget Sound, the Cedar River in the Seattle–Tacoma corridor, and the Yakima River, a tributary of the Columbia River. The Bayesian network relative risk model (BN‐RRM) was used to conduct this ecological risk assessment and was modified to contain an acetylcholinesterase (AChE) inhibition pathway parameterized using data from CH toxicity data sets. The completed BN‐RRM estimated risk at a …
Using Bayesian Networks To Predict Risk To Estuary Water Quality And Patterns Of Benthic Environmental Dna In Queensland, Scarlett E. Graham, Anthony A. Chariton, Wayne G. Landis
Using Bayesian Networks To Predict Risk To Estuary Water Quality And Patterns Of Benthic Environmental Dna In Queensland, Scarlett E. Graham, Anthony A. Chariton, Wayne G. Landis
Institute of Environmental Toxicology & Chemistry Publications
Predictive modeling can inform natural resource management by representing stressor-response pathways in a logical way and quantifying the effects on selected endpoints. This study demonstrates a risk assessment model using the Bayesian network-relative risk model (BNRRM) approach to predict water quality and; for the first time, eukaryote environmental DNA (eDNA) data as a measure of benthic community structure. Environmental DNA sampling is a technique for biodiversity measurements that involves extracting DNA from environmental samples, amplicon sequencing a targeted gene, in this case the 18s rDNA gene which targets eukaryotes, and matching the sequences to organisms. Using a network of probability …