Literature DB >> 29978497

Coupling toxicokinetic-toxicodynamic and population models for assessing aquatic ecological risks to time-varying pesticide exposures.

Glen Thursby1, Keith Sappington2, Matthew Etterson3.   

Abstract

Population modeling evaluations of pesticide exposure time series were compared with aspects of a currently used risk assessment process. The US Environmental Protection Agency's Office of Pesticide Programs models daily aquatic 30-yr pesticide exposure distributions in its risk assessments, but does not routinely make full use of the information in such time series. We used mysid shrimp Americamysis bahia toxicity and demographic data to demonstrate the value of a toxicokinetic-toxicodynamic model coupled with a series of matrix population models in risk assessment refinements. This species is a small epibenthic marine crustacean routinely used in regulatory toxicity tests. We demonstrate how the model coupling can refine current risk assessments using only existing standard regulatory toxicity test results. Several exposure scenarios (each with the same initial risk characterization as determined by a more traditional organism-based approach) were created within which population modeling documented risks different from those of assessments based on the traditional approach. We also present different acute and chronic toxicity data scenarios by which toxicokinetic-toxicodynamic coupled with population modeling can distinguish responses that traditional risk evaluations are not designed to detect. Our results reinforce the benefits of this type of modeling in risk evaluations, especially related to time-varying exposure concentrations. Environ Toxicol Chem 2018;37:2633-2644. Published 2018 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America. Published 2018 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.

Entities:  

Keywords:  Aquatic invertebrates; Pesticide risk assessment; Population modeling; Population-level effects; Toxicokinetics

Mesh:

Substances:

Year:  2018        PMID: 29978497      PMCID: PMC6238213          DOI: 10.1002/etc.4224

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  24 in total

1.  How risky is risk assessment: the role that life history strategies play in susceptibility of species to stress.

Authors:  John D Stark; John E Banks; Roger Vargas
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-12       Impact factor: 11.205

2.  Prediction of time-dependent PAH toxicity in Hyalella azteca using a damage assessment model.

Authors:  Jong-Hyeon Lee; Peter F Landrum; Chul-Hwan Koh
Journal:  Environ Sci Technol       Date:  2002-07-15       Impact factor: 9.028

3.  Environmentally sensitive life-cycle traits have low elasticity: implications for theory and practice.

Authors:  Valery E Forbes; Mette Olsen; Annemette Palmqvist; Peter Calow
Journal:  Ecol Appl       Date:  2010-07       Impact factor: 4.657

4.  Toxicokinetic and toxicodynamic modeling explains carry-over toxicity from exposure to diazinon by slow organism recovery.

Authors:  Roman Ashauer; Anita Hintermeister; Ivo Caravatti; Andreas Kretschmann; Beate I Escher
Journal:  Environ Sci Technol       Date:  2010-05-15       Impact factor: 9.028

5.  How to use mechanistic effect models in environmental risk assessment of pesticides: Case studies and recommendations from the SETAC workshop MODELINK.

Authors:  Udo Hommen; Valery Forbes; Volker Grimm; Thomas G Preuss; Pernille Thorbek; Virginie Ducrot
Journal:  Integr Environ Assess Manag       Date:  2015-10-29       Impact factor: 2.992

6.  From organisms to populations: modeling aquatic toxicity data across two levels of biological organization.

Authors:  Sandy Raimondo; Charles L McKenney
Journal:  Environ Toxicol Chem       Date:  2006-02       Impact factor: 3.742

7.  Using toxicokinetic-toxicodynamic modeling as an acute risk assessment refinement approach in vertebrate ecological risk assessment.

Authors:  Virginie Ducrot; Roman Ashauer; Agnieszka J Bednarska; Silvia Hinarejos; Pernille Thorbek; Gabriel Weyman
Journal:  Integr Environ Assess Manag       Date:  2015-06-11       Impact factor: 2.992

Review 8.  Assessing the risks of pesticides to threatened and endangered species using population modeling: A critical review and recommendations for future work.

Authors:  Valery E Forbes; Nika Galic; Amelie Schmolke; Janna Vavra; Rob Pastorok; Pernille Thorbek
Journal:  Environ Toxicol Chem       Date:  2016-06-10       Impact factor: 3.742

9.  Stakeholders' perspective on ecological modeling in environmental risk assessment of pesticides: challenges and opportunities.

Authors:  Agnieszka D Hunka; Mattia Meli; Amalie Thit; Annemette Palmqvist; Pernille Thorbek; Valery E Forbes
Journal:  Risk Anal       Date:  2012-05-15       Impact factor: 4.000

10.  A method to predict and understand fish survival under dynamic chemical stress using standard ecotoxicity data.

Authors:  Roman Ashauer; Pernille Thorbek; Jacqui S Warinton; James R Wheeler; Steve Maund
Journal:  Environ Toxicol Chem       Date:  2013-03-04       Impact factor: 3.742

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  2 in total

1.  A Multidimensional Matrix Model for Predicting the Effects of Male-Biased Sex Ratios on Fish Populations.

Authors:  David H Miller; Daniel L Villeneuve; Kelvin J Santana-Rodriguez; Gerald T Ankley
Journal:  Environ Toxicol Chem       Date:  2022-02-16       Impact factor: 4.218

2.  Pop-guide: Population modeling guidance, use, interpretation, and development for ecological risk assessment.

Authors:  Sandy Raimondo; Amelie Schmolke; Nathan Pollesch; Chiara Accolla; Nika Galic; Adrian Moore; Maxime Vaugeois; Pamela Rueda-Cediel; Andrew Kanarek; Jill Awkerman; Valery Forbes
Journal:  Integr Environ Assess Manag       Date:  2021-02-01       Impact factor: 3.084

  2 in total

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