Literature DB >> 27862949

A weight-of-evidence approach for deriving a level of concern for atrazine that is protective of aquatic plant communities.

Dwayne Rj Moore1, Colleen D Greer1, Gillian Manning2, Katie Wooding2, Kerrie J Beckett3, Richard A Brain4, Gary Marshall5.   

Abstract

Atrazine is a selective triazine herbicide widely used in the United States primarily for control of broadleaf weeds in corn and sorghum. In 2003, the US Environmental Protection Agency (USEPA) concluded that atrazine poses potential risks to sensitive aquatic species. Consequently, a surface water monitoring program was developed to assess whether measured levels of atrazine could impact aquatic plants in vulnerable watersheds. To facilitate evaluation of the monitoring data, the Agency needed to establish a level of concern (LOC) below which atrazine would not cause unacceptable adverse effects to aquatic plant communities. Several attempts at developing a community-level LOC have followed from USEPA but none have been formally accepted or endorsed by independent Scientific Advisory Panels. As part of registration review, the USEPA needs to revisit development of a community-level LOC for atrazine that will be protective of aquatic plant communities. This article reviews 4 methods that can or have been used for this purpose. Collectively, the methods take advantage of the large number of single species and mesocosm studies that have been conducted for aquatic plants exposed to atrazine. The Plant Assemblage Toxicity Index (PATI) and the Comprehensive Aquatic Systems Model for atrazine (CASMATZ2 ) incorporate single-species toxicity data but are calibrated with micro- and mesocosm study results to calculate community-level LOCs. The Brock et al. scoring system relies exclusively on mesocosm studies. Single-species toxicity data were used in a modified version of the USEPA's Water Quality Criteria (WQC) method. The 60-day LOCs calculated using the 4 methods ranged from 19.6 to 26 µg/L. A weight-of-evidence assessment indicated that the CASMATZ2 method was the most environmentally relevant and statistically reliable method. Using all 4 methods with weights based on method reliability, the weighted 60-day LOC was 23.6 µg/L. Integr Environ Assess Manag 2017;13:686-701.
© 2016 SETAC. © 2016 SETAC.

Entities:  

Keywords:  Atrazine; Aquatic plants; Level of concern; Mesocosm

Mesh:

Substances:

Year:  2017        PMID: 27862949     DOI: 10.1002/ieam.1865

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  6 in total

1.  A weight of evidence framework for environmental assessments: Inferring quantities.

Authors:  Glenn Suter; Susan Cormier; Mace Barron
Journal:  Integr Environ Assess Manag       Date:  2017-07-21       Impact factor: 2.992

2.  Potential for the Biodegradation of Atrazine Using Leaf Litter Fungi from a Subtropical Protection Area.

Authors:  Samantha Beatríz Esparza-Naranjo; Gessyca Fernanda da Silva; Diana Carolina Duque-Castaño; Welington Luiz Araújo; Cleto Kaveski Peres; Marcela Boroski; Rafaella Costa Bonugli-Santos
Journal:  Curr Microbiol       Date:  2020-11-23       Impact factor: 2.188

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

Authors:  G T Ankley; J P Berninger; B R Blackwell; J E Cavallin; T W Collette; D R Ekman; K A Fay; D J Feifarek; K M Jensen; M D Kahl; J D Mosley; S T Poole; E C Randolph; D Rearick; A L Schroeder; J Swintek; D L Villeneuve
Journal:  Environ Toxicol Chem       Date:  2021-02-05       Impact factor: 4.218

4.  Systematic Review and Weight of Evidence Are Integral to Ecological and Human Health Assessments: They Need an Integrated Framework.

Authors:  Glenn Suter; Jennifer Nichols; Emma Lavoie; Susan Cormier
Journal:  Integr Environ Assess Manag       Date:  2020-04-28       Impact factor: 3.084

Review 5.  How Specific Is Site-Specific? A Review and Guidance for Selecting and Evaluating Approaches for Deriving Local Water Quality Benchmarks.

Authors:  Rick A van Dam; Alicia C Hogan; Andrew J Harford; Chris L Humphrey
Journal:  Integr Environ Assess Manag       Date:  2019-09       Impact factor: 2.992

6.  Correcting for Phylogenetic Autocorrelation in Species Sensitivity Distributions.

Authors:  Dwayne Rj Moore; Colleen D Priest; Nika Galic; Richard A Brain; Sara I Rodney
Journal:  Integr Environ Assess Manag       Date:  2019-11-18       Impact factor: 2.992

  6 in total

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