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Incorporating ecological data and associated uncertainty in bioaccumulation modelling: methodology development and case study

De Laender, F. and Van Oevelen, D.J. and Middelburg, J.J. and Soetaert, K.E.R. (2009) Incorporating ecological data and associated uncertainty in bioaccumulation modelling: methodology development and case study. Environmental Science and Technology, 43, 2620-2626. ISSN 0013-936X.

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Official URL: http://dx.doi.org/10.1021/es802812y

Abstract

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 Kow > 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.

Item Type:Article
Institutes:Nederlands Instituut voor Ecologie (NIOO)
ID Code:6239
Deposited On:23 Mar 2010 01:00
Last Modified:04 Sep 2014 09:42

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