An ecologically relevant exposure assessment for a polluted river using an integrated multivariate PLS approach

Abstract

A case study is presented where an integrated, ecologically relevant exposure assessment is presented for a polluted lowland river. Using partial least squares regression of latent structures (PLS), an analysis of the impact of two effluents on physico-chemical water quality measures, macroinvertebrate and diatom communities, and in situ bioassay responses with four different test species are combined into an integrative exposure assessment. Bioassays focussed on growth and condition related endpoints, because they are key functional processes of organisms and populations. Integrating these multiple lines of evidence, we were able to discriminate among the impact of both effluents, link changes in physico-chemical water quality with bioassay endpoints and ecological quality of the ecosystem, and address the importance of integrating all information into one exposure assessment framework. The bioassays under field conditions indicated that most endpoints measured are a reflection of ecological effects rather than pollution related effects, or at least a combination of both ecological and toxicological effects. Factors such as food availability clearly influenced the outcome of in situ bioassays and ecological information was essential to explain observed discrepancies when trying to extrapolate bioassay results from the laboratory to the field.