Improving Risk Assessment by Predicting the Survival of Field Gammarids Exposed to Dynamic Pesticide Mixtures.


Journal

Environmental science & technology
ISSN: 1520-5851
Titre abrégé: Environ Sci Technol
Pays: United States
ID NLM: 0213155

Informations de publication

Date de publication:
06 10 2020
Historique:
pubmed: 10 9 2020
medline: 7 1 2021
entrez: 9 9 2020
Statut: ppublish

Résumé

Exposure assessment of pesticides has substantially improved over time, with methods that now include a combination of advanced analytical techniques and fate/transport models to evaluate their spatiotemporal distribution. However, the current regulatory environmental risk assessment considers thresholds from laboratory studies completed under standardized conditions that do not reflect environmental dynamics. Using the General Unified Threshold model for Survival (GUTS) model framework, we predicted the impact of time-varying pesticide exposures on the survival of gammarids in a small agricultural stream. The LP

Identifiants

pubmed: 32900191
doi: 10.1021/acs.est.0c03939
doi:

Substances chimiques

Pesticides 0
Chlorpyrifos JCS58I644W
Diazinon YUS1M1Q929

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

12383-12392

Commentaires et corrections

Type : ErratumIn

Auteurs

Maricor J Arlos (MJ)

Department of Civil and Environmental Engineering, University of Alberta, 9211-116 St. NW, Edmonton, Alberta T6G 1H9, Canada.
Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland.

Andreas Focks (A)

Wageningen Environmental Research, P.O. Box 47, 6700 AA Wageningen, The Netherlands.

Juliane Hollender (J)

Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland.

Christian Stamm (C)

Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland.

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Classifications MeSH