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

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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 biclaccumulation model (OMEGA). In a case study we show that uncertainty ranges on biclaccumulation 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 biclaccumulation.
Keywords
RISK-ASSESSMENT, AQUATIC FOOD-WEBS, ORGANOCHLORINE CONTAMINANTS, ORGANIC-CHEMICALS, TROPHIC TRANSFER, INVERSE METHODS, FRESH-WATER, ECOSYSTEM, ACCUMULATION, BIOMAGNIFICATION

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Chicago
De Laender, Frederik, Dick Van Oevelen, Jack Middelburg, and Karline Soetaert. 2009. “Incorporating Ecological Data and Associated Uncertainty in Bioaccumulation Modeling: Methodology Development and Case Study.” Environmental Science & Technology 43 (7): 2620–2626.
APA
De Laender, F., Van Oevelen, D., Middelburg, J., & Soetaert, K. (2009). Incorporating ecological data and associated uncertainty in bioaccumulation modeling: methodology development and case study. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 43(7), 2620–2626.
Vancouver
1.
De Laender F, Van Oevelen D, Middelburg J, Soetaert K. Incorporating ecological data and associated uncertainty in bioaccumulation modeling: methodology development and case study. ENVIRONMENTAL SCIENCE & TECHNOLOGY. 2009;43(7):2620–6.
MLA
De Laender, Frederik, Dick Van Oevelen, Jack Middelburg, et al. “Incorporating Ecological Data and Associated Uncertainty in Bioaccumulation Modeling: Methodology Development and Case Study.” ENVIRONMENTAL SCIENCE & TECHNOLOGY 43.7 (2009): 2620–2626. Print.
@article{1191663,
  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 biclaccumulation model (OMEGA). In a case study we show that uncertainty ranges on biclaccumulation 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 {\textrangle} 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 biclaccumulation.},
  author       = {De Laender, Frederik and Van Oevelen, Dick and Middelburg, Jack and Soetaert, Karline},
  issn         = {0013-936X},
  journal      = {ENVIRONMENTAL SCIENCE \& TECHNOLOGY},
  keyword      = {RISK-ASSESSMENT,AQUATIC FOOD-WEBS,ORGANOCHLORINE CONTAMINANTS,ORGANIC-CHEMICALS,TROPHIC TRANSFER,INVERSE METHODS,FRESH-WATER,ECOSYSTEM,ACCUMULATION,BIOMAGNIFICATION},
  language     = {eng},
  number       = {7},
  pages        = {2620--2626},
  title        = {Incorporating ecological data and associated uncertainty in bioaccumulation modeling: methodology development and case study},
  url          = {http://dx.doi.org/10.1021/es802812y},
  volume       = {43},
  year         = {2009},
}

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