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Simulation of spatial and temporal variability of chronic copper toxicity to Daphnia magna and Pseudokirchneriella subcapitata in Swedish and British surface waters
De Laender, F.; De Schamphelaere, K.A.C.; Verdonck, F.A.M.; Heijerick, D.G.; Van Sprang, P.A.; Vanrolleghem, P.A.; Janssen, C.R. (2005). Simulation of spatial and temporal variability of chronic copper toxicity to Daphnia magna and Pseudokirchneriella subcapitata in Swedish and British surface waters. Human and Ecological Risk Assessment 11(6): 1177-1191
In: Human and Ecological Risk Assessment. Taylor & Francis: Amherst, MA. ISSN 1080-7039, more
Peer reviewed article  

Available in Authors 

Keywords
    Bioavailability; Variability; Fresh water

Authors  Top 
  • De Laender, F., more
  • De Schamphelaere, K.A.C.
  • Verdonck, F.A.M., more
  • Heijerick, D.G., more
  • Van Sprang, P.A.
  • Vanrolleghem, P.A., more
  • Janssen, C.R., more

Abstract
    Water Quality Criteria (WQC) for metals are usually based on single species laboratory toxicity data. The influence of water characteristics of the surface waters on bioavailability to freshwater organisms is hence neglected, along with regional and temporal variability of these water characteristics. A methodology is presented to account for regional and temporal variability in the WQC setting for copper in the United Kingdom and Sweden. Bioavailability models were applied in a Monte-Carlo approach to account for temporal variability and a Geographic Information System was used to account for geographical variability on the chronic copper toxicity to Daphnia magna and Pseudokirchneriella subcapitata . Fifth percentiles of distributions of the No Observed Effect Concentration (NOEC) for both model species were derived in both study regions. For P. subcapitata , it was demonstrated that this fifth percentile can vary by a factor 10 in the UK study region. The ratio of these NOEC fifth percentiles ( D. magna percentile divided by P. subcapitata percentile) was used to compare the ecotoxicity of copper to two model species. This ratio showed the highest variability (a factor 5) within the Swedish study region. The findings of this research stress the need for the use of region-specific WQC for copper.

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