Literature DB >> 33241884

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

Sandy Raimondo1, Amelie Schmolke2, Nathan Pollesch1, Chiara Accolla3, Nika Galic4, Adrian Moore3, Maxime Vaugeois3, Pamela Rueda-Cediel3, Andrew Kanarek5, Jill Awkerman1, Valery Forbes3.   

Abstract

The assimilation of population models into ecological risk assessment (ERA) has been hindered by their range of complexity, uncertainty, resource investment, and data availability. Likewise, ensuring that the models address risk assessment objectives has been challenging. Recent research efforts have begun to tackle these challenges by creating an integrated modeling framework and decision guide to aid the development of population models with respect to ERA objectives and data availability. In the framework, the trade-offs associated with the generality, realism, and precision of an assessment are used to guide the development of a population model commensurate with the protection goal. The decision guide provides risk assessors with a stepwise process to assist them in developing a conceptual model that is appropriate for the assessment objective and available data. We have merged the decision guide and modeling framework into a comprehensive approach, Population modeling Guidance, Use, Interpretation, and Development for Ecological risk assessment (Pop-GUIDE), for the development of population models for ERA that is applicable across regulatory statutes and assessment objectives. In Phase 1 of Pop-GUIDE, assessors are guided through the trade-offs of ERA generality, realism, and precision, which are translated into model objectives. In Phase 2, available data are assimilated and characterized as general, realistic, and/or precise. Phase 3 provides a series of dichotomous questions to guide development of a conceptual model that matches the complexity and uncertainty appropriate for the assessment that is in concordance with the available data. This phase guides model developers and users to ensure consistency and transparency of the modeling process. We introduce Pop-GUIDE as the most comprehensive guidance for population model development provided to date and demonstrate its use through case studies using fish as an example taxon and the US Federal Insecticide Fungicide and Rodenticide Act and Endangered Species Act as example regulatory statutes. Integr Environ Assess Manag 2021;17:767-784.
© 2020 SETAC. This article has been contributed to by US Government employees and their work is in the public domain in the USA. © 2020 SETAC. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

Entities:  

Keywords:  Complexity; Ecological risk assessment; Guidance; Population modeling; Uncertainty

Mesh:

Substances:

Year:  2021        PMID: 33241884      PMCID: PMC8751981          DOI: 10.1002/ieam.4377

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   3.084


  27 in total

Review 1.  Potential application of population models in the European ecological risk assessment of chemicals. II. Review of models and their potential to address environmental protection aims.

Authors:  Nika Galic; Udo Hommen; J M Hans Baveco; Paul J van den Brink
Journal:  Integr Environ Assess Manag       Date:  2010-07       Impact factor: 2.992

Review 2.  Ecological models and pesticide risk assessment: current modeling practice.

Authors:  Amelie Schmolke; Pernille Thorbek; Peter Chapman; Volker Grimm
Journal:  Environ Toxicol Chem       Date:  2010-04       Impact factor: 3.742

3.  Comparative Analysis of Plant Demographic Traits Across Species of Different Conservation Concern: Implications for Pesticide Risk Assessment.

Authors:  Pamela Rueda-Cediel; Richard Brain; Nika Galic; Valery Forbes
Journal:  Environ Toxicol Chem       Date:  2019-08-19       Impact factor: 3.742

4.  A framework for linking population model development with ecological risk assessment objectives.

Authors:  Sandy Raimondo; Matthew Etterson; Nathan Pollesch; Kristina Garber; Andrew Kanarek; Wade Lehmann; Jill Awkerman
Journal:  Integr Environ Assess Manag       Date:  2018-02-19       Impact factor: 2.992

5.  Scientific Opinion on the state of the art of Toxicokinetic/Toxicodynamic (TKTD) effect models for regulatory risk assessment of pesticides for aquatic organisms.

Authors:  Colin Ockleford; Paulien Adriaanse; Philippe Berny; Theodorus Brock; Sabine Duquesne; Sandro Grilli; Antonio F Hernandez-Jerez; Susanne Hougaard Bennekou; Michael Klein; Thomas Kuhl; Ryszard Laskowski; Kyriaki Machera; Olavi Pelkonen; Silvia Pieper; Robert H Smith; Michael Stemmer; Ingvar Sundh; Aaldrik Tiktak; Christopher J Topping; Gerrit Wolterink; Nina Cedergreen; Sandrine Charles; Andreas Focks; Melissa Reed; Maria Arena; Alessio Ippolito; Harry Byers; Ivana Teodorovic
Journal:  EFSA J       Date:  2018-08-23

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

Authors:  Glen Thursby; Keith Sappington; Matthew Etterson
Journal:  Environ Toxicol Chem       Date:  2018-08-06       Impact factor: 3.742

7.  Developmental chlorpyrifos effects on hatchling zebrafish swimming behavior.

Authors:  Edward D Levin; Holly A Swain; Sue Donerly; Elwood Linney
Journal:  Neurotoxicol Teratol       Date:  2004 Nov-Dec       Impact factor: 3.763

8.  Aquatic insect ecophysiological traits reveal phylogenetically based differences in dissolved cadmium susceptibility.

Authors:  David B Buchwalter; Daniel J Cain; Caitrin A Martin; Lingtian Xie; Samuel N Luoma; Theodore Garland
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-16       Impact factor: 11.205

Review 9.  A Review of Key Features and Their Implementation in Unstructured, Structured, and Agent-Based Population Models for Ecological Risk Assessment.

Authors:  Chiara Accolla; Maxime Vaugeois; Volker Grimm; Adrian P Moore; Pamela Rueda-Cediel; Amelie Schmolke; Valery E Forbes
Journal:  Integr Environ Assess Manag       Date:  2020-12-13       Impact factor: 2.992

10.  Simulating Honey Bee Large-Scale Colony Feeding Studies Using the BEEHAVE Model-Part I: Model Validation.

Authors:  Amelie Schmolke; Farah Abi-Akar; Colleen Roy; Nika Galic; Silvia Hinarejos
Journal:  Environ Toxicol Chem       Date:  2020-09-22       Impact factor: 3.742

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  3 in total

1.  In Silico Methods for Environmental Risk Assessment: Principles, Tiered Approaches, Applications, and Future Perspectives.

Authors:  Maria Chiara Astuto; Matteo R Di Nicola; José V Tarazona; A Rortais; Yann Devos; A K Djien Liem; George E N Kass; Maria Bastaki; Reinhilde Schoonjans; Angelo Maggiore; Sandrine Charles; Aude Ratier; Christelle Lopes; Ophelia Gestin; Tobin Robinson; Antony Williams; Nynke Kramer; Edoardo Carnesecchi; Jean-Lou C M Dorne
Journal:  Methods Mol Biol       Date:  2022

2.  Moving beyond Risk Quotients: Advancing Ecological Risk Assessment to Reflect Better, More Robust and Relevant Methods.

Authors:  Sandy Raimondo; Valery E Forbes
Journal:  Ecologies (Basel)       Date:  2022-05-27

3.  Endogenous Lifecycle Models for Chemical Risk Assessment.

Authors:  Matthew A Etterson; Gerald T Ankley
Journal:  Environ Sci Technol       Date:  2021-11-08       Impact factor: 11.357

  3 in total

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