Use of a simulation model to reconstruct PCB concentrations in prey of Lake Ontario Lake Trout

An individual-based model was applied to the 1986 population of Lake Ontario lake trout to estimate the PCB concentration in alewife prior to 1986 and to determine the amount of variability in PCB concentrations of lake trout prey. Results suggested that spatial variability in the PCB concentrations...

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Published inEnvironmental science & technology Vol. 29; no. 10; pp. 2610 - 2615
Main Authors Madenjian, Charles P, Whittle, D. Michael, Elrod, Joseph H, O'Gorman, Robert, Owens, Randall W
Format Journal Article
LanguageEnglish
Published Washington, DC American Chemical Society 01.10.1995
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Abstract An individual-based model was applied to the 1986 population of Lake Ontario lake trout to estimate the PCB concentration in alewife prior to 1986 and to determine the amount of variability in PCB concentrations of lake trout prey. Results suggested that spatial variability in the PCB concentrations of lake trout prey was probably greater in Lake Ontario than in Lake Michigan.
AbstractList Although the alewife (Alosa pseudoharengus) has been the principal prey fish of adult lake trout (Salvelinus namaycush) in Lake Ontario, a lakewide survey of PCB concentration in Lake Ontario alewife was not attempted until 1986. We applied an individual-based model to the 1986 population of Lake Ontario lake trout to (a) estimate the PCB concentration in alewife prior to 1986 and (b) determine the amount of variability in PCB concentrations of lake trout prey. Modeling results indicated that the PCB concentration in adult alewife during 1979-1985 was on the average almost four times greater than the adult alewife PCB concentration observed in 1986. This result suggested that PCB concentration in lake trout prey may fluctuate widely from year to year, perhaps in response to changes in age structure and growth of prey fishes. Secondly, modeling results suggested that spatial variability in the PCB concentrations of lake trout prey was probably greater in Lake Ontario than in Lake Michigan.
An individual-based model was applied to the 1986 population of lake trout (Salvelinus namaycush) to explain variability in their PCB concentrations and to estimate PCB levels in the alewife (Alosa pseudoharengus), the principal predator and to compare variability of predator PCB concentrations with those from Michigan lake. The previously published model comprised 3 submodels relating to bioenergetics, predator-prey encounter and PCB accumulation. Total PCB concentrations were obtained from previous surveys. The model was calibrated first to the observed growth of Ontario lake lake trout for ages 2-7 years, then to mean PCB levels for the same age range. A group of 500 was simulated in each calibration stage. The mean concentration of PCB of adult alewives between 1979-1985 was assumed constant. Once the model accurately portrayed the average lake trout PCB level at various ages the prey variation factor was adjusted to match observed variations of PCB level of individual trout. Modelling results indicated that the PCB concentration in adult alewife during 1979-1985 was almost 4 times that observed in 1986. This suggested that PCB burdens in trout could fluctuate widely from year to year. Another conclusion was that the spatial variability in the PCB concentrations of lake trout prey was greater in Ontario lake than in Michigan lake. There are 41 references.
An individual-based model was applied to the 1986 population of Lake Ontario lake trout to estimate the PCB concentration in alewife prior to 1986 and to determine the amount of variability in PCB concentrations of lake trout prey. Results suggested that spatial variability in the PCB concentrations of lake trout prey was probably greater in Lake Ontario than in Lake Michigan.
An individual-based model was applied to the 1986 population of Lake Ontario lake trout to explain the variability in lake trout PCB concentrations. The model was used to estimate PCB concentrations in alewife, which is the primary prey of lake trout, prior to 1986. The model, which is detailed, was composed of three submodels: bioenergetics, predator prey, and PCB accumulation. The intraspecific variability in PCB concentrations of alewife from Lake Ontario was compared to that from Lake Michigan. Results indicated that the model accurately predicted the average PCB concentrations in lake trout when PCB concentration in adult alewife was assigned a value of 1.8 mg/kg for the years 1979 85. The simulation data indicated that Lake Ontario lake trout were feeding at higher rates than Lake Michigan lake trout.
Author Elrod, Joseph H
O'Gorman, Robert
Madenjian, Charles P
Whittle, D. Michael
Owens, Randall W
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Issue 10
Keywords Freshwater environment
Salvelinus namaycush
Pollutant
Vertebrata
Chlorocarbon
Pisces
Alosa pseudoharengus
Concentration
Simulation model
Biological accumulation
Polychlorobiphenyl
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Snippet An individual-based model was applied to the 1986 population of Lake Ontario lake trout to estimate the PCB concentration in alewife prior to 1986 and to...
An individual-based model was applied to the 1986 population of lake trout (Salvelinus namaycush) to explain variability in their PCB concentrations and to...
An individual-based model was applied to the 1986 population of Lake Ontario lake trout to explain the variability in lake trout PCB concentrations. The model...
Although the alewife (Alosa pseudoharengus) has been the principal prey fish of adult lake trout (Salvelinus namaycush) in Lake Ontario, a lakewide survey of...
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SubjectTerms Agnatha. Pisces
Alosa pseudoharengus
Animal, plant and microbial ecology
Applied ecology
Biological and medical sciences
Ecotoxicology, biological effects of pollution
Effects of pollution and side effects of pesticides on vertebrates
Fish
Food chains
Freshwater
Fundamental and applied biological sciences. Psychology
Lakes
PCB
Polychlorinated biphenyls
Predation
Salvelinus namaycush
Simulation
Water pollution
Title Use of a simulation model to reconstruct PCB concentrations in prey of Lake Ontario Lake Trout
URI http://dx.doi.org/10.1021/es00010a023
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