nerc.ac.uk

Species sensitivity to toxic substances: evolution, ecology and applications

Spurgeon, David ORCID: https://orcid.org/0000-0003-3264-8760; Lahive, Elma; Robinson, Alex; Short, Stephen; Kille, Peter. 2020 Species sensitivity to toxic substances: evolution, ecology and applications. Frontiers in Environmental Science, 8, 588380. 25, pp. https://doi.org/10.3389/fenvs.2020.588380

Before downloading, please read NORA policies.
[img]
Preview
Text
N529248JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (2MB) | Preview

Abstract/Summary

Because it is only possible to test chemicals for effects on a restricted range of species and exposure scenarios, ecotoxicologists are faced with a significant challenge of how to translate the measurements in model species into predictions of impacts for the wider range of species in ecosystems. Because of this challenge, within ecotoxicology there is no more fundamental aspect than to understand the nature of the traits that determine sensitivity. To account for the uncertainties of species extrapolations in risk assessment, “safety factors” or species sensitivity distributions are commonly used. While valuable as pragmatic tools, these approaches have no mechanistic grounding. Here we highlight how mechanistic information that is increasingly available for a range of traits can be used to understand and potentially predict species sensitivity to chemicals. We review current knowledge on how toxicokinetic, toxicodynamic, physiological, and ecological traits contribute to differences in sensitivity. We go on to discuss how this information is being used to make predictions of sensitivity using correlative and trait-based approaches, including comparisons of target receptor orthologs. Finally, we discuss how the emerging knowledge and associated tools can be used to enhance theoretical and applied ecotoxicological research through improvements in mechanistic modeling, predictive ecotoxicology, species sensitivity distribution development, mixture toxicity assessment, chemical design, biotechnology application and mechanistically informed monitoring.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.3389/fenvs.2020.588380
UKCEH and CEH Sections/Science Areas: Pollution (Science Area 2017-)
Unaffiliated
ISSN: 2296-665X
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
Additional Keywords: ecotoxicology, toxicokinetics, toxicodynamics, mechanism of action, predictive ecotoxicology
NORA Subject Terms: Ecology and Environment
Date made live: 22 Dec 2020 11:59 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/529248

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...