CREAM: a European project on mechanistic effect models for ecological risk assessment of chemicals

Grimm, Volker; Ashauer, Roman; Forbes, Valery E.; Hommen, Udo; Preuß, Thomas G.; Schmidt, Annette; Brink, Paul J. Van den; Wogram, Jörn; Thorbek, Pernille

doi:10.1007/s11356-009-0228-z

Cited by 69 publications

(57 citation statements)

References 13 publications

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“…Consequently, acceptance of ecological models for ERA and decision making is expected to grow in regulatory spheres. For example, pesticide risk assessment is currently taking significant steps toward developing and promoting the use of ecological models for the purposes of product registration Grimm et al, 2009;Thorbek et al, 2009).…”

Section: Challenges and Outlookmentioning

confidence: 99%

The role of ecological models in linking ecological risk assessment to ecosystem services in agroecosystems

Galić

Schmolke²,

Forbes

et al. 2012

Science of The Total Environment

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Section: Challenges and Outlookmentioning

confidence: 99%

The role of ecological models in linking ecological risk assessment to ecosystem services in agroecosystems

Galić

Schmolke²,

Forbes

et al. 2012

Science of The Total Environment

Self Cite

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“…However, both industry and regulators are showing increasing interest in exploring the potential of such models in a risk assessment context as evidenced in several of recent initiatives (e.g., Munns et al 2008;Forbes et al 2009;Grimm et al 2009;Preuss et al 2009). There are several reasons that the timing is right to integrate population modeling into ERA.…”

Section: Integrating Population Modeling Into Ecological Risk Assessmentmentioning

confidence: 99%

Integrating population modeling into ecological risk assessment

Forbes

Calow

Grimm

et al. 2009

Integr Envir Assess & Manag

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“…This amount of data (flow rate, depth of water body, etc...) can be difficult to obtain, and certain variables, like those mentioned before, may not make a link between the effects caused by toxic substances to the exposed organism. Moreover, models like AQUATOX (Park et al, 2008), and CREAM (Grimm et al, 2009), do not analyze the toxicity of complex mixtures, but only the substances that have their chemical composition known. Also, models are commonly used to estimate risks at sites previously known, or when an accident has happened.…”

Section: Introductionmentioning

confidence: 99%

Toxicological risk assessment of complex mixtures through the Wtox model

Matias

Flohr

2015

Model. sci. educ. learn.

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Mathematical models are important tools for environmental management and risk assessment. Predictions about the toxicity of chemical mixtures must be enhanced due to the complexity of effects that can be caused to the living species. In this work, the environmental risk was accessed addressing the need to study the relationship between the organism and xenobiotics. Therefore, five toxicological endpoints were applied through the WTox Model, and with this methodology we obtained the risk classification of potentially toxic substances. Acute and chronic toxicity, citotoxicity and genotoxicity were observed in the organisms Daphnia magna, Vibrio fischeri and Oreochromis niloticus. A case study was conducted with solid wastes from textile, metal-mechanic and pulp and paper industries. The results have shown that several industrial wastes induced mortality, reproductive effects, micronucleus formation and increases in the rate of lipid peroxidation and DNA methylation of the organisms tested. These results, analyzed together through the WTox Model, allowed the classification of the environmental risk of industrial wastes. The evaluation showed that the toxicological environmental risk of the samples analyzed can be classified as significant or critical. Modelos matemáticos são importantes ferramentas de gestão ambiental e gerenciamento de riscos. Previsões sobre toxicidade de misturas químicas ainda devem ser aprimoradas, devidoà complexidade de efeitos que podem causar aos seres vivos. Neste trabalho, avaliou-se risco ambiental abordando a necessidade do estudo da relação entre organismo e xenobióticos. Para isto, cinco tipos de testes toxicológicos foram aplicados através do Modelo WTox, e com esta metodologia foi possível obter a classificação do risco de substâncias potencialmente tóxicas. Toxicidade aguda, crônica, citotoxicidade e genotoxicidade foram observadas nos organismos Daphnia magna, Vibrio fischeri e Oreochromis niloticus. Um estudo de caso foi realizado com resíduos sólidos provenientes da indústria têxtil, metal-mecânica e de papel e celulose. Os resultados demonstraram que diversos resíduos induziram mortalidade, efeitos na reprodução, aumentos na taxa de lipoperoxidação, mutações e alterações na metilação do DNA dos organismos. Estes resultados, analisados através do Modelo WTox, permitiram a classificação de risco ambiental dos resíduos industriais. A avaliação classificou as amostras como de risco ambiental toxicológico significativo ou crítico.Keywords: WTox Model; environmental risk; toxicity tests; complex mixtures.

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CREAM: a European project on mechanistic effect models for ecological risk assessment of chemicals

Cited by 69 publications

References 13 publications

The role of ecological models in linking ecological risk assessment to ecosystem services in agroecosystems

The role of ecological models in linking ecological risk assessment to ecosystem services in agroecosystems

Integrating population modeling into ecological risk assessment

Toxicological risk assessment of complex mixtures through the Wtox model

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