Évaluer l’effet d’un contaminant en mésocosmes : des outils d’analyse statistique plus pertinents à l’échelle des communautés

Abstract : High medicine consumption in France and inefficient wastewater treatment mean that many pharmaceutical compounds are discharged into surface water. The effect on aquatic ecosystems is largely unknown. Ineris can reproduce river ecosystems in its outdoor facilities, called mesocosms. Ineris studied the effect of Diclofenac, an anti-inflammatory drug, on seasonal changes in the mesocosms. The data generated are traditionally analysed by multivariate statistics. We modified an existing method which is designed for mesocosm data, the Principal Response Curve (PRC) method, thus allowing for focusing on changes in community structure rather than on changes of total abundance. Better understanding of the underlying methods provides keys to knowing how to adapt the PRC method to various data characteristics. The objective is to increase relevance of the communitylevel No Observed Effect Concentration (NOEC), the final output used in risk assessment.
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Cléo Tebby. Évaluer l’effet d’un contaminant en mésocosmes : des outils d’analyse statistique plus pertinents à l’échelle des communautés. Rapport Scientifique INERIS, 2017, 2016-2017, pp.54-55. ⟨ineris-01869669⟩

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