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Transforming Acute Ecotoxicity Data into Chronic Data: A Statistical Method to Better Inform the Radiological Risk for Nonhuman Species.
Environmental Science & Technology ( IF 11.4 ) Pub Date : 2020-09-14 , DOI: 10.1021/acs.est.0c03932
Karine Beaugelin-Seiller 1 , Claire Della-Vedova 1 , Jacqueline Garnier-Laplace 1
Affiliation  

Ecotoxicity data constitute the basic information to support the derivation of ecological benchmark values, whatever the stressor concerned. However, the set of appropriate data may be limited, especially with regard to chronic exposure conditions. The available data are often biased in favor of acute data from laboratory-controlled conditions, much easier to acquire. To make the best use of the available knowledge and better inform the effects of ionizing radiation chronic exposure on nonhuman species, we investigated the transposition to ionizing radiation ecotoxicity of one method proposed for chemicals to extrapolate chronic information from acute toxicity data. Such a method would contribute to enriching chronic data sets required for the derivation of benchmark values, making them more robust when used as reference values for ecological risk assessment. We developed accordingly the Acute to Chronic Transformation for Radiotoxicity data (ACTR) approach, which we validated. We introduced then the new concept of Endpoint Sensitivity Distribution (ESD). This finally allowed us to compare purely chronic and ACTR-built ESDs for different taxa. For some of them, the predicted and observed distributions looked very similar. This promising ACTR method appeared applicable with a reasonable level of confidence, but its generalization asks for improvements, some being already identified.

中文翻译:

将急性生态毒性数据转化为慢性数据:一种统计方法,可以更好地告知非人类物种的放射风险。

无论涉及到什么压力因素,生态毒性数据都是支持推导生态基准值的基本信息。但是,一组适当的数据可能会受到限制,尤其是在慢性暴露条件方面。现有数据通常偏向于实验室控制条件下的急性数据,更容易获得。为了充分利用现有知识并更好地告知电离辐射慢性暴露对非人类物种的影响,我们研究了一种化学药品从电离辐射的急性毒性数据中推断出慢性信息的方法,该方法被转化为电离辐射生态毒性。这种方法将有助于丰富推导基准值所需的长期数据集,当用作生态风险评估的参考值时,它们将更加强大。因此,我们开发了经过验证的急性放射毒性慢性转化数据(ACTR)方法。然后,我们介绍了端点灵敏度分布(ESD)的新概念。最终,我们可以比较不同分类单元的纯慢性和ACTR构建的ESD。对于其中一些,预测和观察到的分布看起来非常相似。这种有前途的ACTR方法似乎可以以合理的置信度应用,但是其概括性要求改进,其中一些已经被确定。最终,我们可以比较不同分类单元的纯慢性和ACTR构建的ESD。对于其中一些,预测和观察到的分布看起来非常相似。这种有前途的ACTR方法似乎可以以合理的置信度应用,但是其概括性要求改进,其中一些已经被确定。最终,我们可以比较不同分类单元的纯慢性和ACTR构建的ESD。对于其中一些,预测和观察到的分布看起来非常相似。这种有前途的ACTR方法似乎可以以合理的置信度应用,但是其概括性要求改进,其中一些已经被确定。
更新日期:2020-10-06
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