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Effects of multiple stressors on benthic invertebrates using Water Framework Directive monitoring data.
Heß, Sebastian; Hof, Delia; Oetken, Matthias; Sundermann, Andrea.
Affiliation
  • Heß S; Senckenberg Research Institute and Natural History Museum Frankfurt, Department of River Ecology and Conservation, Clamecystr. 12, 63571 Gelnhausen, Germany; Goethe University Frankfurt, Faculty of Biology, Institute of Ecology, Evolution and Diversity, Max-von-Laue-Str. 13, 60438 Frankfurt am Main,
  • Hof D; Goethe University Frankfurt, Faculty of Biology, Department of Aquatic Ecotoxicology, Max-von-Laue-Str. 13, 60438 Frankfurt am Main, Germany.
  • Oetken M; Goethe University Frankfurt, Faculty of Biology, Department of Aquatic Ecotoxicology, Max-von-Laue-Str. 13, 60438 Frankfurt am Main, Germany.
  • Sundermann A; Senckenberg Research Institute and Natural History Museum Frankfurt, Department of River Ecology and Conservation, Clamecystr. 12, 63571 Gelnhausen, Germany; Goethe University Frankfurt, Faculty of Biology, Institute of Ecology, Evolution and Diversity, Max-von-Laue-Str. 13, 60438 Frankfurt am Main,
Sci Total Environ ; 878: 162952, 2023 Jun 20.
Article in En | MEDLINE | ID: mdl-36948311
ABSTRACT
Multiple stressors affect freshwater systems and cause a deficient ecological status according to the European Water Framework Directive (WFD). To select effective mitigation measures and improve the ecological status, knowledge on the stressor hierarchy and individual and joined effects is necessary. However, compared to common stressors like nutrient enrichment and morphological degradation, the relative importance of micropollutants such as pesticides and pharmaceuticals is largely unaddressed. We used WFD monitoring data from Saxony (Germany) to investigate the importance of 85 environmental variables (including 34 micropollutants) for 18 benthic invertebrate metrics at 108 sites. The environmental variables were assigned to five groups (natural factors, nutrient enrichment, metals, micropollutants and morphological degradation) and were ranked according to their relative importance as group and individually within and across groups using Principal Component Analyses (PCAs) and Boosted Regression Trees (BRTs). Overall, natural factors contributed the most to the total explained deviance of the models. This variable group represented not only typological differences between sampling sites but also a gradient of human impact by strongly anthropogenically influenced variables such as electric conductivity and dissolved oxygen. These large-scale effects can mask the individual importance of the other variable groups, which may act more specifically at a subset of sites. Accordingly, micropollutants were not represented by a few dominant variables but rather a diverse palette of different chemicals with similar contribution. As a group, micropollutants contributed similarly as metals, nutrient enrichment and morphological degradation. However, the importance of micropollutants might be underestimated due to limitations of the current chemical monitoring practices.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Water Type of study: Guideline / Prognostic_studies Limits: Animals / Humans Country/Region as subject: Europa Language: En Journal: Sci Total Environ Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Water Type of study: Guideline / Prognostic_studies Limits: Animals / Humans Country/Region as subject: Europa Language: En Journal: Sci Total Environ Year: 2023 Document type: Article