Modelling Bioaccumulation of Organic Pollutants in Fish with an Application to PCBs in Lake Ontario Salmonids

Barber, M. Craig; Suárez, Luis; Lassiter, Ray R.

doi:10.1139/f91-044

Cited by 100 publications

(87 citation statements)

References 98 publications

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“…Apparently, lake trout lose a slightly lower fraction of their body burden from spawning compared with rainbow trout (Oncc~rhynchus mykiss); Niimi (1983) reported an average drop of 2.7% (assuming a negligible drop from spawning males, as observed for l&e trout) in PCB body burden due to spawning in rainbow trout. Barber et al (1991) recently presented as new model for PCB accumulation in lake trout, a d their model assumed that excretion of PCB though the gills is an important flux in the PCB budget of lake trout. Such an assumption was not supported by my labratory studies on trout.…”

Section: Modelmentioning

confidence: 99%

Accumulation of PCBs by Lake Trout (Salvelinus namaycush): An Individual-Based Model Approach

Madenjian¹,

Carpenter²,

Eck³

et al. 1993

Can. J. Fish. Aquat. Sci.

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and ha. A. Miller. 1993. Accumulation of PCBs by lake trout (Salvebinus namaycush): an individual-based model approach. Can. ). Fish. Aquat. Sci. 50: 97-109.Po explain the variation in growth and in concentration of polychlorinated biphenyls (PCBs) among individual fish, an individual-based model (IBM) was applied to the Bake trout (SaBvelinus namaycush) population in Lake Michigan. The lBM accurately represented the variation in growth exhibited by the different age classes of lake trout. Uncertainty analysis of the lBM revealed that mean PCB concentration for the lake trout population was most sensitive to PCB concentration in their prey. The variability in PCB concentration among lake trout individuals was not adequately explained by the IBM, unless variation in prey fish PCBs was included in the model. To accomplish this, the simulated lake trout population was divided into subsets subjected to different levels of PCB concentration in the prey fish. Thus, model results indicated that variability in prey fish PCB concentration was an important component of the variation in PCB concentration observed among individual lake trout comprising the Lake Michigan population.Les auteurs ont utilise un modele de type individuel afin d'expliquer Bes &arts de la croissance et de la concentration des biphenyles pealychlor4s (BPC) entre les individams d'une population de touladi (Salvelincss namayccssh) du lac Michigan. Le msd6le a permis de representer adequatement les &arts de croissance notes entre les diverses classes d'ige des touladis. Une analyse d'incertitude du modele a rnontre que la concentration de BPC des pssies etait le facteur influant le plus sur la concentration de BPC de la population de touladi. La variabilite de cette concentration entre les touladis nf6tait pas expliquee de f a~o n ad4qu$te par le modGle rnsins que I'on ne tienne cornpte aussi de la variation de cette concentration chez les proies. A cette fin, la population sirnulke de tokeladi a et6 divis$e en sous-ensembles en fonctiow des diverses teneurs en BPC des proies. Le modkle indiquait donc que la variabilite de la concentration des BPC des proies etait uw important facteur de la variation de la concentration des BPC notee chez les individams de la population de tsuladi du lac Michigan.

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Section: Modelmentioning

confidence: 99%

Accumulation of PCBs by Lake Trout (Salvelinus namaycush): An Individual-Based Model Approach

Madenjian¹,

Carpenter²,

Eck³

et al. 1993

Can. J. Fish. Aquat. Sci.

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“…Later, simple two-compartment kinetic models were proposed to describe the exchange of contaminants between organisms and water (Branson et al 1975). Then research about physiological process for chemical bioaccumulation in fish (e .g., dietary and gill uptake, fecal egestion) (Mackay 1982;Barber et al 1988Barber et al , 1991 established a solid theoretical footing for more detailed kinetic models. Arnot and Gobas (2004) proposed a new bioaccumulation model for hydrophobic organic chemicals in aquatic food webs in order to provide site-specific estimates of chemical concentrations and associated bioconcentration factors, bioaccumulation factors, and biota-sediment accumulation factors in organisms of aquatic food webs using a limited number of chemical, organism, and site-specific data inputs.…”

Section: Z Xiao Et Almentioning

confidence: 99%

Ecological Risk Assessment of DDT Accumulation in Aquatic Organisms of Taihu Lake, China

Zhao

Zhang

2008

Human and Ecological Risk Assessment: An International Journal

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DDT (Dichlorophenyltrichloroethane) is a toxic, ubiquitous, and persistent bioaccumulative pollutant in the global environment. Although its use as an insecticide has been banned in China since 1983, residual DDT levels in the Taihu Lake are evident. Aimed at the protection of fish resources, three species of highvalue fish in the Taihu Lake (Protosalanx hylocranius (Abbott), Salangichthys tangkahkeii (Wu), and Coilia nasus Temminck et Schlegel) were selected and an ecological risk assessment was used to estimate the DDT threats to fish populations. Based on a food web model, a bioaccumulation model was used to estimate the DDT concentration in zooplankton, benthos, and fish and the Monte Carlo (MC) simulation method was used to analyze the uncertainty in the bioaccumulation process. Then the chronic toxicity dose-response relationship of DDT on the Protosalanx hyalocranius (Abbott) population, estimated by ICE and ACE software, was used to calculate the mortality rates in different fish stages with the DDT concentrations. Last, the demographic modeling (Leslie matrix) was used to assess the ecological risk of DDT damage on the Protosalanx hyalocranius (Abbott) population. The results show that the estimated DDT concentrations in benthos and zooplankton were 0.14-16.56 µg/kg, 2.15-99.30 µg/kg, respectively. The fish DDT concentration results are a series of increasing curves and the maximal values reach 266, 101, and 211 µg/kg for Protosalanx hylocranius (Abbott), Salangichthys tangkahkeii (Wu), and Coilia nasus Temminck et Schlegel, respectively. In the process of ecological risk quantization, a 4.06-7.25% reduction in the biomass of the Protosalanx hyalocranius (Abbott) population was estimated in 10,000 MC simulations and 4.21%, 4.89%, and 5.69% reductions were estimated in 75%, 50%, and 25% probability, respectively.

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“…A similar approach to modeling the exchange of nonpolar organic chemicals across the gills of fish is incorporated into the fish and gill exchange of toxic substances (FGETS) model [55,56]. Written in terms of concentration rather than fugacity, the net diffusive chemical flux across the gills of a fish from water, Jg, is…”

Section: Food-chain Transportmentioning

confidence: 99%

Modeling mobility and effects of contaminants in wetlands

Dixon

Florian

1993

Enviro Toxic and Chemistry

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-Early efforts at modeling wetland ecosystems were aimed primarily at reflecting biomass or nutrient dynamics. A number of models have been developed for different wetland types, including coastal salt marshes, mangrove wetlands, freshwater marshes, swamps, and riparian wetlands. The early ecosystem models were mostly simple compartment models with linear, constant-coefficient differential equations used to simulate biomass or nutrient dynamics. Practically no contaminant flux was incorporated into these models. With few exceptions, the ecosystems were considered spatially homogeneous. At the same time that the ecosystem models were being developed, considerable effort was given to modeling various wetland processes, such as circulation and sediment transport. Other process-level modeling included plant and animal uptake and elimination of both organic chemicals and heavy metals. The level of detail in these process models, however, has not been applied to most ecosystem models. There has been a recent trend, however, to increase the complexity of ecosystem-level models and to incorporate spatial dynamics. These developments should greatly enhance the ability to simulate contaminant transport and effects in wetlands.

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Modelling Bioaccumulation of Organic Pollutants in Fish with an Application to PCBs in Lake Ontario Salmonids

Cited by 100 publications

References 98 publications

Accumulation of PCBs by Lake Trout (Salvelinus namaycush): An Individual-Based Model Approach

Accumulation of PCBs by Lake Trout (Salvelinus namaycush): An Individual-Based Model Approach

Ecological Risk Assessment of DDT Accumulation in Aquatic Organisms of Taihu Lake, China

Modeling mobility and effects of contaminants in wetlands

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