Literature DB >> 27037541

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

Valery E Forbes1, Nika Galic1, Amelie Schmolke1, Janna Vavra2, Rob Pastorok3, Pernille Thorbek4.   

Abstract

United States legislation requires the US Environmental Protection Agency to ensure that pesticide use does not cause unreasonable adverse effects on the environment, including species listed under the Endangered Species Act (ESA; hereafter referred to as listed species). Despite a long history of population models used in conservation biology and resource management and a 2013 report from the US National Research Council recommending their use, application of population models for pesticide risk assessments under the ESA has been minimal. The pertinent literature published from 2004 to 2014 was reviewed to explore the availability of population models and their frequency of use in listed species risk assessments. The models were categorized in terms of structure, taxonomic coverage, purpose, inputs and outputs, and whether the models included density dependence, stochasticity, or risk estimates, or were spatially explicit. Despite the widespread availability of models and an extensive literature documenting their use in other management contexts, only 2 of the approximately 400 studies reviewed used population models to assess the risks of pesticides to listed species. This result suggests that there is an untapped potential to adapt existing models for pesticide risk assessments under the ESA, but also that there are some challenges to do so for listed species. Key conclusions from the analysis are summarized, and priorities are recommended for future work to increase the usefulness of population models as tools for pesticide risk assessments. Environ Toxicol Chem 2016;35:1904-1913.
© 2016 SETAC. © 2016 SETAC.

Keywords:  Ecological risk assessment; Endangered Species Act; Life history; Population viability analysis

Mesh:

Substances:

Year:  2016        PMID: 27037541     DOI: 10.1002/etc.3440

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


  12 in total

1.  Possible adverse impact of contaminants on Atlantic cod population dynamics in coastal ecosystems.

Authors:  Kotaro Ono; Halvor Knutsen; Esben M Olsen; Anders Ruus; Dag Ø Hjermann; Nils Chr Stenseth
Journal:  Proc Biol Sci       Date:  2019-07-31       Impact factor: 5.349

2.  Effects of glyphosate formulations on the population dynamics of two freshwater cladoceran species.

Authors:  U Reno; S R Doyle; F R Momo; L Regaldo; A M Gagneten
Journal:  Ecotoxicology       Date:  2018-02-05       Impact factor: 2.823

Review 3.  A framework for predicting impacts on ecosystem services from (sub)organismal responses to chemicals.

Authors:  Valery E Forbes; Chris J Salice; Bjorn Birnir; Randy J F Bruins; Peter Calow; Virginie Ducrot; Nika Galic; Kristina Garber; Bret C Harvey; Henriette Jager; Andrew Kanarek; Robert Pastorok; Steve F Railsback; Richard Rebarber; Pernille Thorbek
Journal:  Environ Toxicol Chem       Date:  2017-04       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.  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

6.  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

7.  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

8.  Guidance for Developing Amphibian Population Models for Ecological Risk Assessment.

Authors:  Jill Awkerman; Sandy Raimondo; Amelie Schmolke; Nika Galic; Pamela Rueda-Cediel; Katherine Kapo; Chiara Accolla; Maxime Vaugeois; Valery Forbes
Journal:  Integr Environ Assess Manag       Date:  2019-11-27       Impact factor: 3.084

9.  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

10.  Variation in life-history traits among Daphnia and its relationship to species-level responses to phosphorus limitation.

Authors:  Rachel Hartnett
Journal:  R Soc Open Sci       Date:  2019-08-14       Impact factor: 2.963

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