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

Frederik De Laender UGent, Dick Van Oevelen, Jack Middelburg and Karline Soetaert (2009) ENVIRONMENTAL SCIENCE & TECHNOLOGY. 43(7). p.2620-2626
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
RISK-ASSESSMENT, AQUATIC FOOD-WEBS, ORGANOCHLORINE CONTAMINANTS, ORGANIC-CHEMICALS, TROPHIC TRANSFER, INVERSE METHODS, FRESH-WATER, ECOSYSTEM, ACCUMULATION, BIOMAGNIFICATION
journal title
ENVIRONMENTAL SCIENCE & TECHNOLOGY
Environ. Sci. Technol.
volume
43
issue
7
pages
2620 - 2626
Web of Science type
Article
Web of Science id
000264759600077
JCR category
ENVIRONMENTAL SCIENCES
JCR impact factor
4.63 (2009)
JCR rank
7/178 (2009)
JCR quartile
1 (2009)
ISSN
0013-936X
DOI
10.1021/es802812y
language
English
UGent publication?
no
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1191663
handle
http://hdl.handle.net/1854/LU-1191663
date created
2011-03-18 10:45:04
date last changed
2016-12-19 15:45:14
@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},
}

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.