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首页> 外文期刊>Environmental toxicology and chemistry >Development and Validation of a Mixture Toxicity Implementation in the Dynamic Energy Budget–Individual‐Based Model: Effects of Copper and Zinc on Daphnia magna Populations
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Development and Validation of a Mixture Toxicity Implementation in the Dynamic Energy Budget–Individual‐Based Model: Effects of Copper and Zinc on Daphnia magna Populations

机译：动态能源预算中的混合毒性实施的开发与验证基于个体的模型：铜和锌对Daphnia Magna种群的影响

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Mechanistic population models are gaining considerable interest in ecological risk assessment. The dynamic energy budget approach for toxicity (DEBtox) and the general unified threshold model for survival (GUTS) are well-established theoretical frameworks that describe sublethal and lethal effects of a chemical stressor, respectively. However, there have been limited applications of these models for mixtures of chemicals, especially to predict long-term effects on populations. We used DEBtox and GUTS in an individual-based model (IBM) framework to predict both single and combined effects of copper and zinc on Daphnia magna populations. The model was calibrated based on standard chronic toxicity test results with the single substances. A mixture toxicity implementation based on the general independent action model for mixtures was developed and validated with data from a population experiment with copper and zinc mixtures. Population-level effects of exposure to individual metals were accurately predicted by DEB-IBM. The DEB-IBM framework also allowed us to identify the potential mechanisms underlying these observations. Under independent action the DEB-IBM was able to predict the population dynamics observed in populations exposed to the single metals and their mixtures (R-2 65% in all treatments). Our modeling shows that it is possible to extrapolate from single-substance effects at the individual level to mixture toxicity effects at the population level, without the need for mixture toxicity data at the individual level from standard mixture toxicity tests. The application of such modeling techniques can increase the ecological realism in risk assessment. (c) 2020 SETAC
机译：机械人口模型对生态风险评估的兴趣相当兴趣。毒性的动态能量预算方法和统一统一阈值模型的生存（肠道）是完整的理论框架，分别描述了化学压力源的核心和致命作用。然而，这些模型对于化学品混合物的应用有限，特别是预测对群体的长期影响。我们在一个基于个人的模型（IBM）框架中使用了Debrox和Guts，以预测Daphnia Magna种群对铜和锌的单一和综合影响。根据单一物质，基于标准慢性毒性测试结果校准该模型。基于一般独立动作模型的混合物毒性实施进行了开发并验证了铜和锌混合物的人口实验的数据。 DEB-IBM准确预测了接触单个金属的人口水平影响。 Deb-IBM框架还允许我们识别这些观察结果的潜在机制。在独立行动下，DEB-IBM能够预测在暴露于单一金属的人群中观察到的人口动态及其混合物（所有治疗中的R-2> 65％）。我们的建模表明，可以从个体水平的单一物质效应外推，在人口水平的混合物毒性效应中，无需在标准混合物毒性测试中需要在个体水平处的混合物毒性数据。这种建模技术的应用可以增加风险评估中的生态现实主义。 （c）2020 Setac

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