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首页> 外文期刊>Environmental toxicology and chemistry >PREDICTING HERBICIDE MIXTURE EFFECTS ON MULTIPLE ALGAL SPECIES USING MIXTURE TOXICITY MODELS
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PREDICTING HERBICIDE MIXTURE EFFECTS ON MULTIPLE ALGAL SPECIES USING MIXTURE TOXICITY MODELS

机译:使用混合毒性模型预测多种藻类上的除草剂混合作用

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摘要

The validity of the application of mixture toxicity models, concentration addition and independent action, to a species sensitivity distribution (SSD) for calculation of a multisubstance potentially affected fraction was examined in laboratory experiments. Toxicity assays of herbicide mixtures using 5 species of periphytic algae were conducted. Two mixture experiments were designed: a mixture of 5 herbicides with similar modes of action and a mixture of 5 herbicides with dissimilar modes of action, corresponding to the assumptions of the concentration addition and independent action models, respectively. Experimentally obtained mixture effects on 5 algal species were converted to the fraction of affected (>50% effect on growth rate) species. The predictive ability of the concentration addition and independent action models with direct application to SSD depended on the mode of action of chemicals. That is, prediction was better for the concentration addition model than the independent action model for the mixture of herbicides with similar modes of action. In contrast, prediction was better for the independent action model than the concentration addition model for the mixture of herbicides with dissimilar modes of action. Thus, the concentration addition and independent action models could be applied to SSD in the same manner as for a single-species effect. The present study to validate the application of the concentration addition and independent action models to SSD supports the usefulness of the multisubstance potentially affected fraction as the index of ecological risk. (C) 2017 SETAC
机译:在实验室实验中检查了将混合物毒性模型,浓度增加和独立作用应用于物种敏感度分布(SSD)以计算可能受多种物质影响的组分的有效性。使用5种附生藻类进行了除草剂混合物的毒性测定。设计了两个混合实验:5种具有相似作用方式的除草剂的混合物和5种具有不同作用方式的除草剂的混合物,分别对应于浓度增加和独立作用模型的假设。实验获得的混合物对5种藻类的影响转化为受影响物种(对生长率的影响> 50%)的分数。直接应用于SSD的浓度增加和独立作用模型的预测能力取决于化学物质的作用方式。也就是说,对浓度增加模型的预测要好于具有相似作用模式的除草剂混合物的独立作用模型。相反,对于具有不同作用方式的除草剂混合物,独立作用模型的预测要好于浓度增加模型。因此,浓度增加和独立作用模型可以以与单一物种效应相同的方式应用于固态硬盘。本研究验证了浓度增加和独立作用模型在SSD上的应用,支持了多物质潜在受影响组分作为生态风险指数的有用性。 (C)2017年SETAC

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