Affordable Access

deepdyve-link
Publisher Website

Do predictions from Species Sensitivity Distributions match with field data?

Authors
  • Smetanová, S1
  • Bláha, L1
  • Liess, M2
  • Schäfer, R B3
  • Beketov, M A4
  • 1 Masaryk University, Faculty of Science, RECETOX, Kamenice 5, 62500 Brno, Czech Republic. , (Czechia)
  • 2 UFZ - Helmholtz Centre for Environmental Research, Dept. System Ecotoxicology, Permoser Strasse 15, 04318 Leipzig, Germany. , (Germany)
  • 3 Quantitative Landscape Ecology, Institute for Environmental Sciences, University of Koblenz-Landau, Fortstraße 7, 76829 Landau, Germany. , (Germany)
  • 4 UFZ - Helmholtz Centre for Environmental Research, Dept. System Ecotoxicology, Permoser Strasse 15, 04318 Leipzig, Germany. Electronic address: [email protected] , (Germany)
Type
Published Article
Journal
Environmental pollution (Barking, Essex : 1987)
Publication Date
Jun 01, 2014
Volume
189
Pages
126–133
Identifiers
DOI: 10.1016/j.envpol.2014.03.002
PMID: 24657606
Source
Medline
Keywords
License
Unknown

Abstract

Species Sensitivity Distribution (SSD) is a statistical model that can be used to predict effects of contaminants on biological communities, but only few comparisons of this model with field studies have been conducted so far. In the present study we used measured pesticides concentrations from streams in Germany, France, and Finland, and we used SSD to calculate msPAF (multiple substance potentially affected fraction) values based on maximum toxic stress at localities. We compared these SSD-based predictions with the actual effects on stream invertebrates quantified by the SPEARpesticides bioindicator. The results show that the msPAFs correlated well with the bioindicator, however, the generally accepted SSD threshold msPAF of 0.05 (5% of species are predicted to be affected) severely underestimated the observed effects (msPAF values causing significant effects are 2-1000-times lower). These results demonstrate that validation with field data is required to define the appropriate thresholds for SSD predictions.

Report this publication

Statistics

Seen <100 times