A system dynamic model for the assessment of different exposure routes in aquatic ecosystems
With the exception of a limited number of highly persistent lipophilic pollutants, waterborne exposure is considered the most relevant exposure route for aquatic organisms, and even the only relevant exposure route in lower tier assessment, while the potential for bioaccumulation is only evaluated as secondary poisoning for birds and mammals. In addition, some evaluations consider that only the dissolved fraction is bioavailable for pelagic organisms. The lack of easy and cost-effective assessment methods is probably the main reason to disregard the contribution of other routes. This paper presents a system dynamics model that estimates the time-dependent accumulation of toxic chemicals through the food chain, and has also the potential to include the exposure from sediment. The generic ecosystem includes a primary producer and three levels of consumers, represented by unicellular algae, cladoceran invertebrates, cladoceran-eating fish and fish-eating fish, respectively. Nevertheless, the model, built using Microsoft Excel software, allows any number of levels and ecological-exposure relationships. The results obtained for four illustrative pollutants demonstrate that factors such as the binding to algae and other edible particles or food chain exposure for lipophilic non-persistent chemicals may constitute significant exposure routes. The current low tier European ecological risk assessment guidelines do not cover these aspects, and therefore may under estimate the real risk for both aquatic organisms and their predators. The model includes a simplified worst-case alternative that normally can be calculated using the existing information. Under a tiered approach, the simplified alternative is proposed to trigger the need of the toxicokinetics assays required to perform the complete time-dependent calculation.
Main Authors: | , , , , |
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Format: | artículo biblioteca |
Language: | English |
Published: |
Elsevier
2000
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Subjects: | Aquatic organisms, Exposure routes, Modelling, |
Online Access: | http://hdl.handle.net/20.500.12792/5743 http://hdl.handle.net/10261/289886 |
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