Species sensitivity distributions: data and model choice

J.R. Wheeler*, E.P.M. Grist, K.M.Y. Leung, D. Morritt, M. Crane

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

436 Citations (Scopus)

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. © 2002 Elsevier Science Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)192-202
JournalMarine Pollution Bulletin
Volume45
Issue number1-12
Online published8 Jan 2002
DOIs
Publication statusPublished - Sept 2002
Externally publishedYes

Research Keywords

  • Data quality
  • Data quantity
  • Ecological risk assessment
  • Model fit
  • Species sensitivity distribution

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