How to Characterize Chemical Exposure to Predict Ecologic Effects on Aquatic Communities?

R Schäfer, Nadine Gerner, Ben Kefford, Jes Rasmussen, M Beketov, Dick de Zwart, M Liess, Peter von der Ohe

    Research output: Contribution to journalArticle

    38 Citations (Scopus)

    Abstract

    Reliable characterization of exposure is indispensable for ecological risk assessment of chemicals. To deal with mixtures, several approaches have been developed, but their relevance for predicting ecological effects on communities in the field has not been elucidated. In the present study, we compared nine metrics designed for estimating the total toxicity of mixtures regarding their relationship with an effect metric for stream macroinvertebrates. This was done using monitoring data of biota and organic chemicals, mainly pesticides, from five studies comprising 102 streams in several regions of Europe and South-East Australia. Mixtures of less than 10 pesticides per water sample were most common for concurrent exposure. Exposure metrics based on the 5% fraction of a species sensitivity distribution performed best, closely followed by metrics based on the most sensitive species and Daphnia magna as benchmark. Considering only the compound with the highest toxicity and ignoring mixture toxicity was sufficient to estimate toxicity in predominantly agricultural regions with pesticide exposure. The multisubstance Potentially Affected Fraction (msPAF) that combines concentration and response addition was advantageous in the study where further organic toxicants occurred. We give recommendations on exposure metric selection depending on data availability and the involved compounds.
    Original languageEnglish
    Pages (from-to)7996-8004
    Number of pages9
    JournalEnvironmental Science Technology (Washington)
    Volume47
    DOIs
    Publication statusPublished - 2013

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    aquatic community
    Toxicity
    Pesticides
    toxicity
    pesticide
    Organic Chemicals
    Risk assessment
    macroinvertebrate
    Availability
    biota
    risk assessment
    chemical
    exposure
    effect
    Water
    Monitoring
    water

    Cite this

    Schäfer, R ; Gerner, Nadine ; Kefford, Ben ; Rasmussen, Jes ; Beketov, M ; Zwart, Dick de ; Liess, M ; von der Ohe, Peter. / How to Characterize Chemical Exposure to Predict Ecologic Effects on Aquatic Communities?. In: Environmental Science Technology (Washington). 2013 ; Vol. 47. pp. 7996-8004.
    @article{8c967f74c1a046cf9b8bbf8032bc20a7,
    title = "How to Characterize Chemical Exposure to Predict Ecologic Effects on Aquatic Communities?",
    abstract = "Reliable characterization of exposure is indispensable for ecological risk assessment of chemicals. To deal with mixtures, several approaches have been developed, but their relevance for predicting ecological effects on communities in the field has not been elucidated. In the present study, we compared nine metrics designed for estimating the total toxicity of mixtures regarding their relationship with an effect metric for stream macroinvertebrates. This was done using monitoring data of biota and organic chemicals, mainly pesticides, from five studies comprising 102 streams in several regions of Europe and South-East Australia. Mixtures of less than 10 pesticides per water sample were most common for concurrent exposure. Exposure metrics based on the 5{\%} fraction of a species sensitivity distribution performed best, closely followed by metrics based on the most sensitive species and Daphnia magna as benchmark. Considering only the compound with the highest toxicity and ignoring mixture toxicity was sufficient to estimate toxicity in predominantly agricultural regions with pesticide exposure. The multisubstance Potentially Affected Fraction (msPAF) that combines concentration and response addition was advantageous in the study where further organic toxicants occurred. We give recommendations on exposure metric selection depending on data availability and the involved compounds.",
    author = "R Sch{\"a}fer and Nadine Gerner and Ben Kefford and Jes Rasmussen and M Beketov and Zwart, {Dick de} and M Liess and {von der Ohe}, Peter",
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    Schäfer, R, Gerner, N, Kefford, B, Rasmussen, J, Beketov, M, Zwart, DD, Liess, M & von der Ohe, P 2013, 'How to Characterize Chemical Exposure to Predict Ecologic Effects on Aquatic Communities?', Environmental Science Technology (Washington), vol. 47, pp. 7996-8004. https://doi.org/10.1021/es4014954

    How to Characterize Chemical Exposure to Predict Ecologic Effects on Aquatic Communities? / Schäfer, R; Gerner, Nadine; Kefford, Ben; Rasmussen, Jes; Beketov, M; Zwart, Dick de; Liess, M; von der Ohe, Peter.

    In: Environmental Science Technology (Washington), Vol. 47, 2013, p. 7996-8004.

    Research output: Contribution to journalArticle

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    AU - Zwart, Dick de

    AU - Liess, M

    AU - von der Ohe, Peter

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