Incorporating Ecological Data and Associated Uncertainty in Bioaccumulation Modeling: Methodology Development and Case Study

Bioaccumulation models predict internal concentrations of hydrophobic chemicals by incorporating key gain/loss processes reflecting the ecology of the exposed species and the characteristics of the chemical. Here, we propose a new methodology that uses ecological data and the principle of mass balan...

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Bibliographic Details
Published in:Environmental science & technology 2009-04, Vol.43 (7), p.2620-2626
Main Authors: Laender, Frederik De, Oevelen, Dick Van, Middelburg, Jack J, Soetaert, Karline
Format: Article
Language:English
Subjects:
Applied sciences
Bioaccumulation
Case studies
Chemicals
Ecology
Ecotoxicology and Human Environmental Health
Estimating techniques
Exact sciences and technology
Food Chain
Food chains
Models, Biological
Plankton
Pollution
Uncertainty
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Summary:Bioaccumulation models predict internal concentrations of hydrophobic chemicals by incorporating key gain/loss processes reflecting the ecology of the exposed species and the characteristics of the chemical. Here, we propose a new methodology that uses ecological data and the principle of mass balance in food webs to estimate bioaccumulation in food webs. To this end, we combine linear inverse models (LIMs) that estimate food web flows based on mass balance with a mechanistic bioaccumulation model (OMEGA). In a case study we show that uncertainty ranges on bioaccumulation predictions were on average estimated a factor of 4 lower by LIM-OMEGA than by an OMEGA application that does not consider mass balance within food webs, most notably for chemicals with log K ow > 5, reflecting an increasing importance of uptake through food ingestion for those chemicals. Ranges of internal concentrations predicted by LIM-OMEGA were smaller in enclosures with fish, as strong predation pressure from the latter on mesozooplankton constrains food web flows and thus bioaccumulation.
ISSN:0013-936X
1520-5851
DOI:10.1021/es802812y