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Jason P. Berninger

Researcher at United States Geological Survey

Publications -  35
Citations -  2293

Jason P. Berninger is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Environmental exposure & Oil dispersants. The author has an hindex of 20, co-authored 33 publications receiving 1925 citations. Previous affiliations of Jason P. Berninger include Baylor University & United States Environmental Protection Agency.

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Book ChapterDOI

Pharmaceuticals in the environment: lessons learned for reducing uncertainties in environmental risk assessment.

TL;DR: This chapter critically examine several important aspects of pharmaceuticals, specifically highlighting some of the lessons learned from studying these substances in the environment over the past 15 years and submitting that incorporating such "lessons learned" during environmental risk assessments promises to reduce uncertainties and support more sustainable management efforts.
Journal ArticleDOI

One uncertainty factor does not fit all: Identifying mode of action and species specific acute to chronic ratios for aquatic life

TL;DR: This work compiled and compared 56 and 150 pairs of acute and subchronic/chronic growth/reproductive toxicity data for fishes and the crustacean Daphnia magna and identified no significant relationships between P. promelas acute median lethal concentrations and growth lowest-observed effect concentrations for class 1 (nonpolar narcosis) chemicals.
Journal ArticleDOI

Effects of early life stage exposure of largemouth bass to atrazine or a model estrogen (17α-ethinylestradiol)

TL;DR: Investigating the effects of early life stage exposure to ATR or the model estrogen 17α-ethinylestradiol (EE2) on sexual differentiation and gene expression in gonad tissue confirmed that early development is a sensitive window for estrogenic endocrine disruption in LMB.
Journal ArticleDOI

Pathway-Based Approaches for Assessing Biological Hazards of Complex Mixtures of Contaminants: A Case Study in the Maumee River.

TL;DR: The use of pathway-based chemical and biological approaches to assess the risk of chemical mixtures in the Maumee River and a nontargeted mass spectroscopy-based analysis suggested that hepatic endogenous metabolite profiles in caged fish covaried strongly with the occurrence of pesticides and pesticide degradates are described.
Journal ArticleDOI

Predictive Analysis Using Chemical-Gene Interaction Networks Consistent with Observed Endocrine Activity and Mutagenicity of U.S. Streams

TL;DR: The pPLA analysis revealed correlations with signaling, metabolic, and regulatory groups, suggesting that other effects pathways may be associated with chemical contaminants in these waters and indicating the need for broader bioassay coverage to assess potential adverse impacts.