Explaining differences between Bioaccumulation Measurements in laboratory and field data through use of probabilistic modeling approach

Autor: Irv R. Schultz, Albert A. Koelmans, Nico W. van den Brink, Martine J. van den Heuvel-Greve, D. Salvito, Henriette Selck, Robin Stewart, Ken G. Drouillard, Karen M. Eisenreich, Annemette Palmqvist, Annie Weisbrod, Anders Ruus
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Aquatic Ecology and Water Quality Management
Insecta
Geography
Planning and Development
Field
Context (language use)
Guideline
Models
Biological
Risk Assessment
Sensitivity and Specificity
Laboratory
Species Specificity
CE - Molecular Ecology Ecotoxicology and Wildlife Management
Animals
Organic matter
Computer Simulation
Wageningen Environmental Research
Biology
General Environmental Science
Trophic level
chemistry.chemical_classification
Pyrenes
WIMEK
Ecology
Uncertainty
Sediment
Life Sciences
Polychaeta
General Medicine
Aquatische Ecologie en Waterkwaliteitsbeheer
Strigiformes
Polychlorinated Biphenyls
Bioaccumulation
Food web
Wageningen Marine Research
Congener
chemistry
Perches
Delta
Environmental chemistry
Larva
Environmental science
Environmental Pollutants
Little owl
Environmental Monitoring
Model
Zdroj: Biological Sciences Publications
Integrated Environmental Assessment and Management 8 (2012) 1
Integrated Environmental Assessment and Management, 8(1), 42-63
ISSN: 1551-3793
DOI: 10.1002/ieam.217
Popis: In the regulatory context, bioaccumulation assessment is often hampered by substantial data uncertainty as well as by the poorly understood differences often observed between results from laboratory and field bioaccumulation studies. Bioaccumulation is a complex, multifaceted process, which calls for accurate error analysis. Yet, attempts to quantify and compare propagation of error in bioaccumulation metrics across species and chemicals are rare. Here, we quantitatively assessed the combined influence of physicochemical, physiological, ecological, and environmental parameters known to affect bioaccumulation for 4 species and 2 chemicals, to assess whether uncertainty in these factors can explain the observed differences among laboratory and field studies. The organisms evaluated in simulations including mayfly larvae, deposit-feeding polychaetes, yellow perch, and little owl represented a range of ecological conditions and biotransformation capacity. The chemicals, pyrene and the polychlorinated biphenyl congener PCB-153, represented medium and highly hydrophobic chemicals with different susceptibilities to biotransformation. An existing state of the art probabilistic bioaccumulation model was improved by accounting for bioavailability and absorption efficiency limitations, due to the presence of black carbon in sediment, and was used for probabilistic modeling of variability and propagation of error. Results showed that at lower trophic levels (mayfly and polychaete), variability in bioaccumulation was mainly driven by sediment exposure, sediment composition and chemical partitioning to sediment components, which was in turn dominated by the influence of black carbon. At higher trophic levels (yellow perch and the little owl), food web structure (i.e., diet composition and abundance) and chemical concentration in the diet became more important particularly for the most persistent compound, PCB-153. These results suggest that variation in bioaccumulation assessment is reduced most by improved identification of food sources as well as by accounting for the chemical bioavailability in food components. Improvements in the accuracy of aqueous exposure appear to be less relevant when applied to moderate to highly hydrophobic compounds, because this route contributes only marginally to total uptake. The determination of chemical bioavailability and the increase in understanding and qualifying the role of sediment components (black carbon, labile organic matter, and the like) on chemical absorption efficiencies has been identified as a key next steps. Integr Environ Assess Manag © 2011 SETAC
Databáze: OpenAIRE
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