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Recent Developments in Species Sensitivity Distribution Modeling.

Authors :
Fox DR
van Dam RA
Fisher R
Batley GE
Tillmanns AR
Thorley J
Schwarz CJ
Spry DJ
McTavish K
Source :
Environmental toxicology and chemistry [Environ Toxicol Chem] 2021 Feb; Vol. 40 (2), pp. 293-308.
Publication Year :
2021

Abstract

The species sensitivity distribution (SSD) is a statistical approach that is used to estimate either the concentration of a chemical that is hazardous to no more than x% of all species (the HCx) or the proportion of species potentially affected by a given concentration of a chemical. Despite a significant body of published research and critical reviews over the past 20 yr aimed at improving the methodology, the fundamentals remain unchanged. Although there have been some recent suggestions for improvements to SSD methods in the literature, in general, few of these suggestions have been formally adopted. Furthermore, critics of the approach can rightly point to the fact that differences in technical implementation can lead to marked differences in results, thereby undermining confidence in SSD approaches. Despite the limitations, SSDs remain a practical tool and, until a demonstrably better inferential framework is available, developments and enhancements to conventional SSD practice will and should continue. We therefore believe the time has come for the scientific community to decide how it wants SSD methods to evolve. The present study summarizes the current status of, and elaborates on several recent developments for, SSD methods, specifically, model averaging, multimodality, and software development. We also consider future directions with respect to the use of SSDs, with the ultimate aim of helping to facilitate greater international collaboration and, potentially, greater harmonization of SSD methods. Environ Toxicol Chem 2021;40:293-308. © 2020 SETAC.<br /> (© 2020 SETAC.)

Details

Language :
English
ISSN :
1552-8618
Volume :
40
Issue :
2
Database :
MEDLINE
Journal :
Environmental toxicology and chemistry
Publication Type :
Academic Journal
Accession number :
33170526
Full Text :
https://doi.org/10.1002/etc.4925