Prediction of Daphnid Survival after in Situ Exposure to Complex Mixtures

We applied a mechanistically based model to predict the effects of complex mixtures as occurring in the field on the survival of Daphnia magna. We validated the model by comparing predicted survival with observed survival of in situ exposed laboratory cultured daphnids to polluted surface waters, in...

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Bibliographic Details
Published in:Environmental science & technology 2009-08, Vol.43 (15), p.6064-6069
Main Authors: Baas, J, Willems, J, Jager, T, Kraak, M.H.S, Vandenbrouck, T, Kooijman, S.A.L.M
Format: Article
Language:English
Subjects:
Animal, plant and microbial ecology
Animals
Applied ecology
Applied sciences
Biological and medical sciences
Chemical contaminants
Comparative analysis
Crustaceans
Daphnia - drug effects
Daphnia - growth & development
Daphnia magna
Dose-Response Relationship, Drug
Ecology
Ecotoxicology and Human Environmental Health
Ecotoxicology, biological effects of pollution
Effects
Environmental Monitoring - methods
Environmental Pollutants
Exact sciences and technology
Freshwater
Fundamental and applied biological sciences. Psychology
Hydrogen-Ion Concentration
Kinetics
Models, Biological
Models, Theoretical
Mortality
Pollution
Polycyclic Aromatic Hydrocarbons - toxicity
Reproducibility of Results
Time Factors
Toxicology - methods
Water Pollution, Chemical - analysis
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Summary:We applied a mechanistically based model to predict the effects of complex mixtures as occurring in the field on the survival of Daphnia magna. We validated the model by comparing predicted survival with observed survival of in situ exposed laboratory cultured daphnids to polluted surface waters, in which over 90 chemical contaminants were measured. Using the chemical composition of the surface water at each sampling site, we calculated whether or not any of the individual or shared no effect concentrations were exceeded. If they were, we calculated the effect on survival. In 34 out of 37 cases (92%) we correctly predicted daphnid survival in surface waters. In the case of mortality we could also appoint the compound or group of compounds causing the effect. It is concluded that the proposed mechanistically based model accurately predicts effects on daphnids in the field, given the chemical composition of the water. Hence it is a powerful tool to link the chemical and ecological status of surface waters.
ISSN:0013-936X
1520-5851
DOI:10.1021/es901083v