Biological consequences of agricultural and urban land-use along the Maumee River, a major tributary to the Laurentian Great Lakes watershed

Cipoletti, Nicholas; Jorgenson, Zachary G.; Banda, Jo A.; Kohno, Satomi; Hummel, Stephanie L.; Schoenfuss, Heiko L.

doi:10.1016/j.jglr.2020.04.013

Cited by 11 publications

(16 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The greatest metabolomic differences were observed between the Lake Erie reference site (REFERENCE-LEMR-03) and the upstream site (UP RIVER-LEMR-04). Multiple studies have demonstrated upstream–downstream effects in the fish metabolome, including a study with upstream sites characterized by farm and agricultural activities. − …”

Section: Discussionmentioning

confidence: 99%

Untargeted Metabolomics Analyses and Contaminant Chemistry of Dreissenid Mussels at the Maumee River Area of Concern in the Great Lakes

Legrand,

Bayless,

Bearden

et al. 2023

Environ. Sci. Technol.

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Untargeted Metabolomics Analyses and Contaminant Chemistry of Dreissenid Mussels at the Maumee River Area of Concern in the Great Lakes

Legrand,

Bayless,

Bearden

et al. 2023

Environ. Sci. Technol.

View full text Add to dashboard Cite

“…Contamination of the Maumee is not restricted to surface waters or pesticides because PAHs and other contaminants in sediments and porewaters of multiple Maumee tributaries also exceed EAR and TQ‐based thresholds (Baldwin et al, 2022 ), which may contribute to additional mixture effects. In addition, the Maumee is one of the most agriculturally productive watersheds in the Great Lakes basin, and it contributes substantial loads of nutrients, suspended sediment, and contaminants to western Lake Erie (Baker et al, 2014 ; Cipoletti et al, 2020 ; Matson et al, 2020 ). Although nutrient loading and other physical mechanisms are likely the dominant driver of increased prevalence of harmful cyanobacteria blooms in western Lake Erie (Bullerjahn et al, 2016 ; Sayers et al, 2019 ), pesticides—especially herbicides—may favor cyanobacteria and promote harmful blooms by suppressing the growth of more favorable eukaryotic phytoplankton species (Harris & Smith, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers

Loken

Corsi

Alvarez

et al. 2022

Enviro Toxic and Chemistry

View full text Add to dashboard Cite

To help meet the objectives of the Great Lakes Restoration Initiative with regard to increasing knowledge about toxic substances, 223 pesticides and pesticide transformation products were monitored in 15 Great Lakes tributaries using polar organic chemical integrative samplers. A screening‐level assessment of their potential for biological effects was conducted by computing toxicity quotients (TQs) for chemicals with available US Environmental Protection Agency (USEPA) Aquatic Life Benchmark values. In addition, exposure activity ratios (EAR) were calculated using information from the USEPA ToxCast database. Between 16 and 81 chemicals were detected per site, with 97 unique compounds detected overall, for which 64 could be assessed using TQs or EARs. Ten chemicals exceeded TQ or EAR levels of concern at two or more sites. Chemicals exceeding thresholds included seven herbicides (2,4‐dichlorophenoxyacetic acid, diuron, metolachlor, acetochlor, atrazine, simazine, and sulfentrazone), a transformation product (deisopropylatrazine), and two insecticides (fipronil and imidacloprid). Watersheds draining agricultural and urban areas had more detections and higher concentrations of pesticides compared with other land uses. Chemical mixtures analysis for ToxCast assays associated with common modes of action defined by gene targets and adverse outcome pathways (AOP) indicated potential activity on biological pathways related to a range of cellular processes, including xenobiotic metabolism, extracellular signaling, endocrine function, and protection against oxidative stress. Use of gene ontology databases and the AOP knowledgebase within the R‐package ToxMixtures highlighted the utility of ToxCast data for identifying and evaluating potential biological effects and adverse outcomes of chemicals and mixtures. Results have provided a list of high‐priority chemicals for future monitoring and potential biological effects warranting further evaluation in laboratory and field environments. Environ Toxicol Chem 2023;42:340–366. Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

show abstract

“…Sites corresponding to on-site fish exposure experiments (Table S1) were sampled weekly during the exposure, as described in Cipoletti et al (2019Cipoletti et al ( , 2020. Weekly samples were analyzed at SGS AXYS Analytical Laboratories in British Columbia, Canada, for hormones, personal care products, and select pesticides.…”

Section: Surface Water Sample Collectionmentioning

confidence: 99%

“…Previous research has documented that CECs—and their transformation products—accumulate in freshwater fish species occupying various niches (e.g., Arnnok et al, 2017; Ramirez et al, 2009). Biological effects associated with exposure to CECs in aquatic biota have been documented in a multitude of laboratory studies (see literature reviews in Brausch & Rand, 2011; Crane et al, 2006; Gefell, Annis, et al, 2019; Gefell, Banda, et al, 2019) and in situ studies (Cipoletti et al, 2019, 2020; Jorgenson et al, 2018; Perkins et al, 2017). Observed effects from in situ studies include elevated stress responses such as increased liver mass and decreased sexual maturity, with more effects observed in fish at sites where complex contaminant mixtures were present.…”

Section: Introductionmentioning

confidence: 99%

Multiple lines of evidence for identifying potential hazards to fish from contaminants of emerging concern in Great Lakes tributaries

Elliott

Gefell

Kiesling

et al. 2021

Integr Envir Assess & Manag

Self Cite

View full text Add to dashboard Cite

Contaminants of emerging concern (CECs; e.g., pharmaceuticals, flame retardants, pesticides, and industrial chemicals) are omnipresent throughout tributaries to the Great Lakes. Furthermore, CECs are often present at concentrations that are potentially hazardous to aquatic species. Since 2010, we characterized the presence of CECs at 309 sites within 47 Great Lakes tributaries and characterized responses of fathead minnow (Pimephales promelas) exposed to river water at a subset of 26 sites within four tributaries. Our work resulted in three independent lines of evidence related to the potential hazards of CEC exposure to fish. First, vulnerability (where vulnerability refers to likelihood) of surface waters to CEC presence was predicted using select watershed characteristics. Second, hazard to fish (where hazard means the potential for adverse biological responses) was predicted using screening values for a subset of CECs. Third, biological responses of fathead minnow exposed to river water in streamside exposures were measured. We assessed the congruence of these three lines of evidence for identifying sites with elevated hazards to CEC exposure. Predicted vulnerability and hazards agreed at 66% of all sites. Where the two indices did not agree, vulnerability often underestimated predicted hazard. When compared with measured biological responses from streamside exposures, predicted hazards agreed for 42% of samples. Furthermore, when predicted hazards for specific effect categories were compared with similar measured biomarkers, 26% and 46% of samples agreed for reproductive and physiological effect categories, respectively. Overall, vulnerability and hazard predictions tended to overestimate the measured biological responses, providing a protective estimate of the potential hazards of CEC exposure to fish. When used together, these three approaches can help resource managers prioritize management activities in minimizing hazards of CEC exposure and can be used by researchers to prioritize studies focused on understanding the hazards of CEC exposure to fish.

show abstract

Biological consequences of agricultural and urban land-use along the Maumee River, a major tributary to the Laurentian Great Lakes watershed

Cited by 11 publications

References 76 publications

Untargeted Metabolomics Analyses and Contaminant Chemistry of Dreissenid Mussels at the Maumee River Area of Concern in the Great Lakes

Untargeted Metabolomics Analyses and Contaminant Chemistry of Dreissenid Mussels at the Maumee River Area of Concern in the Great Lakes

Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers

Multiple lines of evidence for identifying potential hazards to fish from contaminants of emerging concern in Great Lakes tributaries

Contact Info

Product

Resources

About