The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Applying species-sensitivity distributions in ecological risk assessment: Assumptions of distribution type and sufficient numbers of species
Abstract
Species-sensitivity distribution methods assemble single-species toxicity data to predict hazardous concentrations (HCps) affecting a certain percentage (p) of species in a community. The fit of the lognormal model and required number of individual species values were evaluated with 30 published data sets. The increasingly common assumption that a lognormal model best fits these data was not supported. Fifteen data sets failed a formal test of conformity to a lognormal distribution; other distributions often provided better fit to the data than the lognormal distribution. An alternate bootstrap method provided accurate estimates of HCp without the assumption of a specific distribution. Approximate sample sizes producing HC5 estimates with minimal variance ranged from 15 to 55, and had a median of 30 species-sensitivity values. These sample sizes are higher than those suggested in recent regulatory documents. A bootstrap method is recommended that predicts with 95% confidence the concentration affecting 5% or fewer species.
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Cites
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Cited by
Burns, E. E., & Boxall, A. B. A. (2018) · Environmental Toxicology and Chemistry · doi:10.1002/etc.4268 · Cited by 713
Baker, M. E., & King, R. S. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2009.00007.x · Cited by 658
Aquatic multi-species acute toxicity of (chlorinated) anilines: experimental versus predicted data
Dom, N., Knapen, D., Benoot, D., Nobels, I., & Blust, R. (2010) · Chemosphere · doi:10.1016/j.chemosphere.2010.06.059 · Cited by 75
Metadata
- Authors
- Newman, M. C., Ownby, D. R., Mézin, L. C. A., Powell, D. C., Christensen, T. R. L., Lerberg, S. B., & Anderson, B.-A.
- Venue
- Environmental Toxicology and Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-02-01
- Volume
- 19
- Issue
- 2
- Pages
- 508-515
- ISSN
- 0730-7268 (ISSN-L)
- 1552-8618
- OpenAlex
- W2082275495
- Cited by
- 396
- References
- 15
- FWCI
- 8.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Newman, M. C., Ownby, D. R., Mézin, L. C. A., Powell, D. C., Christensen, T. R. L., Lerberg, S. B., & Anderson, B.-A. (2000). Applying species-sensitivity distributions in ecological risk assessment: Assumptions of distribution type and sufficient numbers of species. Environmental Toxicology and Chemistry. https://doi.org/10.1002/etc.5620190233
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
