title: Species sensitivity distributions: data and model choice.
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.
authors.affiliation: School of Biological Sciences, University of London, Egham, Surrey, UK. j.wheeler@rhul.ac.uk
authors.forename: J R
authors.initials: JR
authors.lastname: Wheeler
authors.forename: E P M
authors.initials: EP
authors.lastname: Grist
authors.forename: K M Y
authors.initials: KM
authors.lastname: Leung
authors.forename: D
authors.initials: D
authors.lastname: Morritt
authors.forename: M
authors.initials: M
authors.lastname: Crane
mesh_terms: D003657:Decision Making; D004463:Ecology; D008962:Models, Theoretical; D011786:Quality Control; D018570:Risk Assessment; D014873:Water Pollutants / Q000009:adverse effects*
chemical_list: D014873:Water Pollutants