An equilibrium model of organic chemical accumulation in aquatic food webs with sediment interaction

Thomann, Robert V.; Connolly, John P.; Parkerton, Thomas F.

doi:10.1002/etc.5620110505

Cited by 280 publications

(167 citation statements)

References 21 publications

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“…A number of models address biological accumulation in aquatic food webs, including AQUAWEB (Arnot and Gobas 2004), the EcoFate Model (Thomann 1998), and other unnamed models (Thomann 1989;Thomann et al 1992;Thomann et al 1995). AQUAWEB and EcoFate are limited to organic chemicals, as is the Thomann 1989 andThomann et al 1992 models, while the Thomann et al 1995 model addresses only metals in sediment.…”

Section: 2mentioning

confidence: 99%

“…AQUAWEB and EcoFate are limited to organic chemicals, as is the Thomann 1989 andThomann et al 1992 models, while the Thomann et al 1995 model addresses only metals in sediment. These models address exposure of aquatic species through ingestion and gill uptake pathways from water and/or sediment compartments, and include at least two components of a larger food web.…”

Section: 2mentioning

confidence: 99%

“…These include accumulation of the contaminant from the water and food. The body burdens of aquatic animals and plants are based on mass-balance equilibrium models that estimate exposures of aquatic organisms to the contaminants in sediments, pore water, surface water, and the subsequent transfer through the food chain (Thomann 1989;Thomann et al 1992Thomann et al , 1995Baker and Soldat 1992;EPA 1993b). More specifically, direct exposure of a contaminant like uranium through water can result in accumulation of the contaminant in the tissues.…”

Section: Structure Of the Ecological Contaminant Exposure Modelmentioning

confidence: 99%

“…The values are plotted in Figure A.12, and the data are presented in Table A.13. The basic models used in the risk assessment model to estimate exposures of aquatic organisms to metal or organic contaminants in sediments, pore water, surface water, and the subsequent transfer through the food chain consist of mass-balance equilibrium models originally derived by Thomann 1989and Thomann et al 1992and 1995. The basic equilibrium models presented in those papers were further modified by the authors to provide a system of equations generally applicable when only sediment data are available.…”

Section: A5 Corbicula Datamentioning

confidence: 99%

“…The basic equilibrium models presented in those papers were further modified by the authors to provide a system of equations generally applicable when only sediment data are available. The essential assumption used in that modification is that the aquatic system is not depurating contaminants, such that the three abiotic compartments (sediment, pore water, and surface water) are in static equilibrium (Thomann et al 1992). This assumption may only be valid for large lacustrine systems; clearly, it is invalid for streams.…”

Section: A5 Corbicula Datamentioning

confidence: 99%

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Uranium in the Near-shore Aquatic Food Chain: Studies on Periphyton and Asian Clams

Bunn¹,

Miley²,

Eslinger³

et al. 2007

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SummaryThe benthic aquatic organisms that are found in the near-shore environment of the Columbia River are the first biological receptors that can be exposed to groundwater contaminants coming from the U.S. Department of Energy's Hanford Site. These benthic organisms are attached to the river substrate (e.g., periphyton) or move around within the substrate (e.g., clams) but are not found up in the water column (e.g., phytoplankton or fish like bass). The primary contaminant of concern in the former nuclear fuels processing area at the Site, known as the 300 Area, is uranium. Currently, there are no national clean up criteria for uranium and ecological receptors. This report summarizes efforts to characterize biological uptake of uranium in the food chain of the benthic aquatic organisms and provide information to be used in future assessments of uranium and the ecosystem.Uranium, as it enters the Columbia River from the groundwater, is likely to complex with the ions and other water quality characteristics, and the uranium complexes may be associated with the accumulation of uranium in the aquatic biota. The accumulation of uranium in the periphyton community and Asian clams (Corbicula fluminea) was investigated using laboratory studies, field measurements and ecological risk models. The general conclusions as a result of these investigations are listed below, with additional detail provided in relevant sections in the main body of this report. Laboratory Studies• Periphyton accumulates uranium readily. However, at concentrations as high as 100 μg/L uranium, there was no indication of an impact to the community from the presence of uranium based on biomass and chlorophyll content.• Asian clams accumulate uranium readily, but the rate of accumulation is dependent on water concentration.• Accumulation and loss of uranium in the soft tissue of clams changes based on exposure history. In pulsed-exposure studies where the accumulation was evaluated based on short-and long-term pulse of uranium, the concentration in the clam's soft tissues changed based on how long the tissues were exposed to uranium. Field Measurements• Asian clams represent one of the most common aquatic species collected in the Hanford Reach of the Columbia River. Periphyton has only been collected by a few programs.• Environmental media (e.g., river water and sediment) have been collected frequently, and offer a basis for evaluation in ecological risk assessments. Ecological Risk Modeling• Ecological Contaminant Exposure Model (ECEM) has been developed for the evaluation of risk to the aquatic food chain of the Hanford Reach of the Columbia River.• Parameters for evaluating risk using ECEM were assessed using values from literature sources, as well as calculations from laboratory studies and field measurements. The range and distribution of biological concentration factors (BCFs) from these three sources varied in range and distribution. Results indicated that additional improvements to ecological modeling results would benefit from further refin...

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Section: 2mentioning

confidence: 99%

Section: 2mentioning

confidence: 99%

Section: Structure Of the Ecological Contaminant Exposure Modelmentioning

confidence: 99%

Section: A5 Corbicula Datamentioning

confidence: 99%

Section: A5 Corbicula Datamentioning

confidence: 99%

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Uranium in the Near-shore Aquatic Food Chain: Studies on Periphyton and Asian Clams

Bunn¹,

Miley²,

Eslinger³

et al. 2007

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Tissue‐based risk assessment of cyclic volatile methyl siloxanes

Redman¹,

Mihaich²,

Woodburn³

et al. 2012

Enviro Toxic and Chemistry

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Cyclic volatile methyl siloxanes (cVMS) are important consumer materials that are used in personal care products and industrial applications. These compounds have gained increased attention in recent years following the implementation of chemical legislation programs worldwide. Industry-wide research programs are being conducted to characterize the persistence, bioaccumulation, and toxicity (PBT) properties of cVMS materials. As part of this larger effort, a tissue-based risk assessment was performed to further inform the regulatory decision-making process. Measured tissue concentrations of cVMS compounds in fish and benthic invertebrates are compared with critical target lipid body burdens (CTLBBs) as estimated with the target lipid model (TLM) to evaluate risk. Acute and chronic toxicity data for cVMS compounds are compared with data for nonpolar organic chemicals to validate application of the TLM in this effort. The analysis was extended to estimate the contribution from metabolites to the overall cVMS-derived tissue residues using a food chain model calibrated to laboratory and field data. Concentrations of cVMS materials in biota from several trophic levels (e.g., invertebrates, fish) are well below the estimated CTLBBs associated with acute and chronic effects. This analysis, when combined with the limited biomagnification potential for cVMS compounds that was observed in the field, suggests that there is little risk of adverse effects from cVMS materials under present-day emission levels.

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Modeling bioaccumulation in coupled pelagic–benthic food chains: Past insights and future directions

Parkerton

Connolly²

2013

Enviro Toxic and Chemistry

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By the 1960s it became recognized that certain organic compounds that had been used in large quantities and dispersed into the environment could persist and accumulate in biota to concentrations that cause adverse impacts. Examples included DDT, toxaphene, and polychlorinated biphenyls (PCBs). This understanding led to efforts to identify substances with high bioaccumulation potential. Early methods relied on laboratory bioconcentration tests that involved uptake and depuration phases in which aquatic organisms (often fish) were exposed to a constant concentration of the substance dissolved in water followed by exposure to clean water. Organisms were periodically sampled over the course of the test and analyzed to determine tissue concentrations of the substance investigated. These data were fitted to a simple model to estimate the uptake and elimination rates and the bioconcentration factor (BCF). The BCF represented the concentration ratio between the aquatic organism and water at steady state. Subsequent efforts led to the development of models to predict BCF from substance properties, most notably the correlations between BCF and log octanol-water partition coefficient (log K OW ) [1,2].While standardized laboratory bioconcentration tests provided a logical, empirical approach to identify substance-specific bioaccumulation concerns, further progress was gained through the introduction of mechanistic mass balance models that systematically described the various uptake and loss processes. One early example involved the prediction of PCB bioaccumulation in a Lake Michigan food chain [3]. This modeling framework incorporated a number of important concepts. First, 4 trophic levels were simulated (phytoplankton, zooplankton, forage fish, piscivorous fish) using a set of coupled, first-order kinetic equations under steady-state conditions. Second, 2 principal routes were considered for each trophic level beyond phytoplankton: uptake from water and ingestion of prey from the previous trophic level. Thus, unlike previous food-chain models that required prey concentrations as inputs, this model computed the prey concentrations associated with each trophic level based on the dissolved water concentration. Third, the rate of chemical uptake from water and food and role of growth dilution was linked to the bioenergetics of the organism using allometric scaling equations for each trophic level. Lastly, chemicalspecific toxicokinetic parameters (e.g., gill elimination rate, assimilation efficiency of contaminant from water and food) needed for model calibration were estimated using results from earlier lab studies.An important insight gained from model predictions and confirmed by field data compiled from Lake Michigan was that laboratory derived BCFs could significantly underestimate the extent to which PCBs were accumulated in field biota. This observation had significant management implications for derivation of water quality limits and emission reductions needed to achieve tissue concentrations that met regulatory guid...

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An equilibrium model of organic chemical accumulation in aquatic food webs with sediment interaction

Cited by 280 publications

References 21 publications

Uranium in the Near-shore Aquatic Food Chain: Studies on Periphyton and Asian Clams

Uranium in the Near-shore Aquatic Food Chain: Studies on Periphyton and Asian Clams

Tissue‐based risk assessment of cyclic volatile methyl siloxanes

Modeling bioaccumulation in coupled pelagic–benthic food chains: Past insights and future directions

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