Abstract
It is increasingly common for water quality guidelines and risk assessments to consider the proportion of species at risk from a particular toxicant, based on the species sensitivity distribution (SSD) for that toxicant. There is a premise that the sensitivity data from species included in the SSD are sufficient to predict the effect on species for which there are no data. We discuss and review assumptions that follow this premise and find that for most toxicant SSDs include too few species, and that component species are biased toward particular taxonomic groups, common species and species from North America and western Europe. Consequently, protecting a given percentage, for example, 95%, of species in an SSD will likely protect more or less than 95% of species in nature, by an unknown amount. For the assumptions of SSDs to be better met, there is a need for tolerance data on more species, from more taxonomic and other groups, including rare species and those from widespread localities. In order to achieve this, we argue for the inclusion of rapid tests, which we define as toxicity tests designed to require less effort to conduct, relative to traditional tests, so sensitivity can be quickly and approximately determine in many species. Their use will allow for more species, more representative of natural communities, to be tested and therefore allow the construction of less biased SSDs and thus more accurate guidelines and assessments of risk.
| Original language | English |
|---|---|
| Pages (from-to) | 1025-1046 |
| Number of pages | 22 |
| Journal | Human and Ecological Risk Assessment |
| Volume | 11 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1 Oct 2005 |
| Externally published | Yes |
Funding
BJK completed the work here while funded by Land and Water Australia and the Murray Darling Basin Commission under National River Contaminates Program (project RMI12). A trip to Australia by CGP was financed by the New South Wales EPA (Australia) and the Water Research Commission (South Africa). We are especially grateful to Valery E. Forbes (Roskilde University, Denmark), John S. Gray (University of Oslo, Norway), and Matthias Liess (UFZ Centre for Environmental Research, Germany) whose extensive comments improved the manuscript during the author-directed peer review. We thank Heather Davies-Coleman, Jason Dunlop, and Liliana Zalizniak for comments on the manuscript and Natalie Burford for proof reading.
Keywords
- Assumptions
- Species sensitivity distributions
- Tolerance testing
- Water quality guidelines development
ASJC Scopus subject areas
- Ecological Modelling
- Pollution
- Health, Toxicology and Mutagenesis
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