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Species sensitivity distributions: data and model choice |
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| Authors: | Wheeler J R Grist E P M Leung K M Y Morritt D Crane M |
| Institution: | a School of Biological Sciences, Royal Holloway, University of London, Egham, Surrey TW20 OEX, UK b The Swire Institute of Marine Science and Department of Ecology and Biodiversity, The University of Hong Kong, Cape d'Aguilar, Shek O, Hong Kong |
| Abstract: | Species sensitivity distributions (SSDs) are increasingly incorporated into ecological risk assessment procedures. Although these new techniques offer a more transparent approach to risk assessment they demand more and superior quality data. Issues of data quantity and quality are especially important for marine datasets that tend to be smaller (and have fewer standard test methods) when compared with freshwater data. An additional source of uncertainty when using SSDs is appropriate selection from the range of methods used in their construction. We show through examples the influence of data quantity, data quality, and choice of model. We then show how regulatory decisions may be affected by these factors. |
| Keywords: | Ecological risk assessment Species sensitivity distribution Data quantity Data quality Model fit |
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