Adverse outcome pathways and ecological risk assessment: Bridging to population-level effects
Maintaining the viability of populations of plants and animals is a key focus for environmental regulation. Population‐level responses integrate the cumulative effects of chemical stressors on individuals as those individuals interact with and are affected by their conspecifics, competitors, predato...
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Published in | Environmental toxicology and chemistry Vol. 30; no. 1; pp. 64 - 76 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.01.2011
Blackwell Publishing Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | Maintaining the viability of populations of plants and animals is a key focus for environmental regulation. Population‐level responses integrate the cumulative effects of chemical stressors on individuals as those individuals interact with and are affected by their conspecifics, competitors, predators, prey, habitat, and other biotic and abiotic factors. Models of population‐level effects of contaminants can integrate information from lower levels of biological organization and feed that information into higher‐level community and ecosystem models. As individual‐level endpoints are used to predict population responses, this requires that biological responses at lower levels of organization be translated into a form that is usable by the population modeler. In the current study, we describe how mechanistic data, as captured in adverse outcome pathways (AOPs), can be translated into modeling focused on population‐level risk assessments. First, we describe the regulatory context surrounding population modeling, risk assessment and the emerging role of AOPs. Then we present a succinct overview of different approaches to population modeling and discuss the types of data needed for these models. We describe how different key biological processes measured at the level of the individual serve as the linkage, or bridge, between AOPs and predictions of population status, including consideration of community‐level interactions and genetic adaptation. Several case examples illustrate the potential for use of AOPs in population modeling and predictive ecotoxicology. Finally, we make recommendations for focusing toxicity studies to produce the quantitative data needed to define AOPs and to facilitate their incorporation into population modeling. Environ. Toxicol. Chem. 2011;30:64–76. © 2010 SETAC |
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Bibliography: | ark:/67375/WNG-8ZN2B67T-P Presented at the SETAC Pellston Workshop, Forest Grove, OR, USA, April 18-23, 2009. ArticleID:ETC375 istex:7D47429BC72195E27BC04EF44777F67F29080223 Presented at the SETAC Pellston Workshop, Forest Grove, OR, USA, April 18–23, 2009. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 PNNL-SA-68173 USDOE AC05-76RL01830 |
ISSN: | 0730-7268 1552-8618 1552-8618 |
DOI: | 10.1002/etc.375 |