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鱼类和水生无脊椎动物的急性毒性值外推法

Acute toxicity value extrapolation with fish and aquatic invertebrates.

作者信息

Buckler Denny R, Mayer Foster L, Ellersieck Mark R, Asfaw Amha

机构信息

U.S. Geological Survey, Columbia Environmental Research Center, 4200 New Haven Road, Columbia, MO 65201, USA.

出版信息

Arch Environ Contam Toxicol. 2005 Nov;49(4):546-58. doi: 10.1007/s00244-004-0151-8. Epub 2005 Sep 30.

Abstract

Assessment of risk posed by an environmental contaminant to an aquatic community requires estimation of both its magnitude of occurrence (exposure) and its ability to cause harm (effects). Our ability to estimate effects is often hindered by limited toxicological information. As a result, resource managers and environmental regulators are often faced with the need to extrapolate across taxonomic groups in order to protect the more sensitive members of the aquatic community. The goals of this effort were to 1) compile and organize an extensive body of acute toxicity data, 2) characterize the distribution of toxicant sensitivity across taxa and species, and 3) evaluate the utility of toxicity extrapolation methods based upon sensitivity relations among species and chemicals. Although the analysis encompassed a wide range of toxicants and species, pesticides and freshwater fish and invertebrates were emphasized as a reflection of available data. Although it is obviously desirable to have high-quality acute toxicity values for as many species as possible, the results of this effort allow for better use of available information for predicting the sensitivity of untested species to environmental contaminants. A software program entitled "Ecological Risk Analysis" (ERA) was developed that predicts toxicity values for sensitive members of the aquatic community using species sensitivity distributions. Of several methods evaluated, the ERA program used with minimum data sets comprising acute toxicity values for rainbow trout, bluegill, daphnia, and mysids provided the most satisfactory predictions with the least amount of data. However, if predictions must be made using data for a single species, the most satisfactory results were obtained with extrapolation factors developed for rainbow trout (0.412), bluegill (0.331), or scud (0.041). Although many specific exceptions occur, our results also support the conventional wisdom that invertebrates are generally more sensitive to contaminants than fish are.

摘要

评估环境污染物对水生群落构成的风险,需要估计其出现的程度(暴露)及其造成危害的能力(效应)。我们估计效应的能力常常受到毒理学信息有限的阻碍。因此,资源管理者和环境监管者常常需要跨分类群进行推断,以保护水生群落中更敏感的成员。这项工作的目标是:1)汇编和整理大量急性毒性数据;2)描述毒物敏感性在分类群和物种间的分布;3)基于物种与化学物质间的敏感性关系评估毒性推断方法的效用。尽管分析涵盖了广泛的毒物和物种,但作为现有数据的一种反映,重点关注了农药以及淡水鱼类和无脊椎动物。虽然显然希望尽可能多的物种有高质量的急性毒性值,但这项工作的结果有助于更好地利用现有信息来预测未测试物种对环境污染物的敏感性。开发了一个名为“生态风险分析”(ERA)的软件程序,该程序利用物种敏感性分布来预测水生群落敏感成员的毒性值。在所评估的几种方法中,ERA程序与包含虹鳟、蓝鳃太阳鱼、水蚤和糠虾急性毒性值的最少数据集一起使用时,能以最少的数据量提供最令人满意的预测。然而,如果必须使用单一物种的数据进行预测,使用为虹鳟(0.412)[此处原文有误:a0.412,应为0.412]、蓝鳃太阳鱼(0.331)或钩虾(0.041)开发的推断因子可获得最令人满意的结果。尽管存在许多具体的例外情况,但我们的结果也支持这样一种传统观点,即无脊椎动物通常比鱼类对污染物更敏感。

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