PMID- 27643699
OWN - NLM
STAT- MEDLINE
DCOM- 20170608
LR  - 20180619
IS  - 1520-5851 (Electronic)
IS  - 0013-936X (Linking)
VI  - 50
IP  - 20
DP  - 2016 Oct 18
TI  - Ecological Implications of Steady State and Nonsteady State Bioaccumulation 
      Models.
PG  - 11103-11111
AB  - Accurate predictions on the bioaccumulation of persistent organic pollutants 
      (POPs) are critical for hazard and ecosystem health assessments. Aquatic systems 
      are influenced by multiple stressors including climate change and species 
      invasions and it is important to be able to predict variability in POP 
      concentrations in changing environments. Current steady state bioaccumulation 
      models simplify POP bioaccumulation dynamics, assuming that pollutant uptake and 
      elimination processes become balanced over an organism's lifespan. These models 
      do not consider the complexity of dynamic variables such as temperature and 
      growth rates which are known to have the potential to regulate bioaccumulation in 
      aquatic organisms. We contrast a steady state (SS) bioaccumulation model with a 
      dynamic nonsteady state (NSS) model and a no elimination (NE) model. We 
      demonstrate that both the NSS and the NE models are superior at predicting both 
      average concentrations as well as variation in POPs among individuals. This 
      comparison demonstrates that temporal drivers, such as environmental fluctuations 
      in temperature, growth dynamics, and modified food-web structure strongly 
      determine contaminant concentrations and variability in a changing environment. 
      These results support the recommendation of the future development of more 
      dynamic, nonsteady state bioaccumulation models to predict hazard and risk 
      assessments in the Anthropocene.
FAU - McLeod, Anne M
AU  - McLeod AM
AD  - Great Lakes Institute for Environmental Research, University of Windsor , 
      Ontario, N9B3P4, Canada.
FAU - Paterson, Gordon
AU  - Paterson G
AD  - College of Environmental Science & Forestry, State University of New York , 
      Syracuse, New York 13035, United States.
FAU - Drouillard, Ken G
AU  - Drouillard KG
AD  - Great Lakes Institute for Environmental Research, University of Windsor , 
      Ontario, N9B3P4, Canada.
FAU - Haffner, G Douglas
AU  - Haffner GD
AD  - Great Lakes Institute for Environmental Research, University of Windsor , 
      Ontario, N9B3P4, Canada.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20160930
PL  - United States
TA  - Environ Sci Technol
JT  - Environmental science & technology
JID - 0213155
SB  - IM
MH  - Aquatic Organisms
MH  - *Climate Change
MH  - *Ecology
MH  - Ecosystem
MH  - Environmental Monitoring
MH  - Food Chain
MH  - Humans
EDAT- 2016/10/19 06:00
MHDA- 2017/06/09 06:00
CRDT- 2016/09/20 06:00
PHST- 2016/10/19 06:00 [pubmed]
PHST- 2017/06/09 06:00 [medline]
PHST- 2016/09/20 06:00 [entrez]
AID - 10.1021/acs.est.6b03169 [doi]
PST - ppublish
SO  - Environ Sci Technol. 2016 Oct 18;50(20):11103-11111. doi: 
      10.1021/acs.est.6b03169. Epub 2016 Sep 30.