title: Uncertainties in ecological, chemical and physiological parameters of a bioaccumulation model: implications for internal concentrations and tissue based risk quotients.
abstract: Bioaccumulation models predict internal contaminant concentrations (c(i)) using ecological, chemical and physiological parameters. Here we analyse the effect of uncertainties on these parameters on bioaccumulation model predictions. Simultaneously considering the uncertainties on all these parameters in a bioaccumulation model resulted in uncertainty ranges of c(i) that increased with the octanol water partition coefficient K(ow) and reached maxima of up to 1.25 log units for mesozooplankton and up to 1.45 log units fish at logK(ow)=8. A global sensitivity analysis (SA) was performed to rank the contribution of different parameters to the observed uncertainty. The SA demonstrated that this interspecies difference resulted predominantly from uncertain production rates of fish. The K(ow), the water concentration and organic carbon-octanol proportionality constant were important drivers of uncertainty on c(i) for both species. A tissue based risk quotient (RQ(tissue)) combining uncertainty on c(i) with realistic tissue based effect thresholds indicated that fish were up to 10 times more probable to have RQ(tissue)>1 than mesozooplankton, depending on the considered threshold value. Conventional exposure based risk quotients were up to 5 times less probable to exceed one than were corresponding RQ(tissue), and this for both species.
authors.affiliation: NIOO-CEME, Netherlands institute of ecology, centre for estuarine and marine ecology, Korringaweg 7, 4400 Yerseke, The Netherlands. frederik.delaender@ugent.be
authors.forename: F
authors.initials: F
authors.lastname: De Laender
authors.forename: D
authors.initials: D
authors.lastname: Van Oevelen
authors.forename: J J
authors.initials: JJ
authors.lastname: Middelburg
authors.forename: K
authors.initials: K
authors.lastname: Soetaert
mesh_terms: D000818:Animals; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data; D004785:Environmental Pollutants / Q000032:analysis / Q000378:metabolism*; D005399:Fishes / Q000145:classification / Q000378:metabolism; D020387:Food Chain; D008954:Models, Biological; D010839:Phytoplankton / Q000737:chemistry / Q000378:metabolism; D011237:Predictive Value of Tests; D018570:Risk Assessment; D013045:Species Specificity; D035501:Uncertainty; D015048:Zooplankton / Q000737:chemistry / Q000378:metabolism
chemical_list: D004785:Environmental Pollutants