Literature DB >> 31538699

Guidance for Developing Amphibian Population Models for Ecological Risk Assessment.

Jill Awkerman1, Sandy Raimondo1, Amelie Schmolke2, Nika Galic3, Pamela Rueda-Cediel4, Katherine Kapo2, Chiara Accolla4, Maxime Vaugeois4, Valery Forbes4.   

Abstract

Despite widespread acceptance of the utility of population modeling and advocacy of this approach for a more ecologically relevant perspective, it is not routinely incorporated in ecological risk assessments (ERA). A systematic framework for situation-specific model development is one of the major challenges to broadly adopting population models in ERA. As risk assessors confront the multitude of species and chemicals requiring evaluation, an adaptable stepwise guide for model parameterization would facilitate this process. Additional guidance on interpretation of model output and evaluating uncertainty would further contribute to establishing consensus on good modeling practices. We build on previous work that created a framework and decision guide for developing population models for ERA by focusing on data types, model structure, and extrinsic stressors relevant to anuran amphibians. Anurans have a unique life cycle with varying habitat requirements and high phenotypic plasticity. These species belong to the amphibian class, which is facing global population decline in large part due to anthropogenic stressors, including chemicals. We synthesize information from databases and literature relevant to amphibian risks to identify traits that influence exposure likelihood, inherent sensitivity, population vulnerability, and environmental constraints. We link these concerns with relevant population modeling methods and structure in order to evaluate pesticide effects with appropriate scale and parameterization. A standardized population modeling approach, with additional guidance for anuran ERA, offers an example method for quantifying population risks and evaluating long-term impacts of chemical stressors to populations. Integr Environ Assess Manag 2020;16:223-233.
© 2019 SETAC. © 2019 SETAC.

Entities:  

Keywords:  Amphibian; Ecological risk assessment; Population model; Trait-based

Mesh:

Substances:

Year:  2019        PMID: 31538699      PMCID: PMC8425957          DOI: 10.1002/ieam.4215

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


  55 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.  Evaluating aquatic invertebrate vulnerability to insecticides based on intrinsic sensitivity, biological traits, and toxic mode of action.

Authors:  Andreu Rico; Paul J Van den Brink
Journal:  Environ Toxicol Chem       Date:  2015-06-22       Impact factor: 3.742

Review 3.  Amphibians and agricultural chemicals: review of the risks in a complex environment.

Authors:  Reinier M Mann; Ross V Hyne; Catherine B Choung; Scott P Wilson
Journal:  Environ Pollut       Date:  2009-06-04       Impact factor: 8.071

Review 4.  Ecological vulnerability in risk assessment--a review and perspectives.

Authors:  H J De Lange; S Sala; M Vighi; J H Faber
Journal:  Sci Total Environ       Date:  2009-12-09       Impact factor: 7.963

5.  Developing population models: A systematic approach for pesticide risk assessment using herbaceous plants as an example.

Authors:  Amelie Schmolke; Katherine E Kapo; Pamela Rueda-Cediel; Pernille Thorbek; Richard Brain; Valery Forbes
Journal:  Sci Total Environ       Date:  2017-05-22       Impact factor: 7.963

Review 6.  A review of ecological risk assessment methods for amphibians: Comparative assessment of testing methodologies and available data.

Authors:  Mark S Johnson; Catherine Aubee; Christopher J Salice; Katrina B Leigh; Elissa Liu; Ute Pott; David Pillard
Journal:  Integr Environ Assess Manag       Date:  2017-02-02       Impact factor: 2.992

7.  Multistage density dependence in an amphibian.

Authors:  Res Altwegg
Journal:  Oecologia       Date:  2003-04-17       Impact factor: 3.225

8.  A meta-analysis of the effects of pesticides and fertilizers on survival and growth of amphibians.

Authors:  Nick J Baker; Betsy A Bancroft; Tiffany S Garcia
Journal:  Sci Total Environ       Date:  2013-02-16       Impact factor: 7.963

9.  Combined Influences of Model Choice, Data Quality, and Data Quantity When Estimating Population Trends.

Authors:  Pamela Rueda-Cediel; Kurt E Anderson; Tracey J Regan; Janet Franklin; Helen M Regan
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

10.  Quantitative evidence for the effects of multiple drivers on continental-scale amphibian declines.

Authors:  Evan H Campbell Grant; David A W Miller; Benedikt R Schmidt; Michael J Adams; Staci M Amburgey; Thierry Chambert; Sam S Cruickshank; Robert N Fisher; David M Green; Blake R Hossack; Pieter T J Johnson; Maxwell B Joseph; Tracy A G Rittenhouse; Maureen E Ryan; J Hardin Waddle; Susan C Walls; Larissa L Bailey; Gary M Fellers; Thomas A Gorman; Andrew M Ray; David S Pilliod; Steven J Price; Daniel Saenz; Walt Sadinski; Erin Muths
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

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  1 in total

1.  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

  1 in total

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