EcoTox, Miami, Florida, USA.
Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida, USA.
Environ Toxicol Chem. 2023 Jun;42(6):1386-1400. doi: 10.1002/etc.5623. Epub 2023 May 8.
We developed multiple linear regression (MLR) models for predicting iron (Fe) toxicity to aquatic organisms for use in deriving site-specific water quality guidelines (WQGs). The effects of dissolved organic carbon (DOC), hardness, and pH on Fe toxicity to three representative taxa (Ceriodaphnia dubia, Pimephales promelas, and Raphidocelis subcapitata) were evaluated. Both DOC and pH were identified as toxicity-modifying factors (TMFs) for P. promelas and R. subcapitata, whereas only DOC was a TMF for C. dubia. The MLR models based on effective concentration 10% and 20% values were developed and performed reasonably well, with adjusted R of 0.68-0.89 across all species and statistical endpoints. Differences among species in the MLR models precluded development of a pooled model. Instead, the species-specific models were assumed to be representative of invertebrates, fish, and algae and were applied accordingly to normalize toxicity data. The species sensitivity distribution (SSD) included standard laboratory toxicity data and effects data from mesocosm experiments on aquatic insects, with aquatic insects being the predominant taxa in the lowest quartile of the SSD. Using the European Union approach for deriving WQGs, application of MLR models to this SSD resulted in WQGs ranging from 114 to 765 μg l Fe across the TMF conditions evaluated (DOC: 0.5-10 mg l ; pH: 6.0-8.4), with slightly higher WQGs (199-910 μg l ) derived using the US Environmental Protection Agency (USEPA) methodology. An important uncertainty in these derivations is the applicability of the C. dubia MLR model (no pH parameter) to aquatic insects, and understanding the pH sensitivity of aquatic insects to Fe toxicity is a research priority. An Excel-based tool for calculating Fe WQGs using both European Union and USEPA approaches across a range of TMF conditions is provided. Environ Toxicol Chem 2023;42:1386-1400. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
我们开发了多元线性回归(MLR)模型,用于预测铁(Fe)对水生生物的毒性,以便推导出特定地点的水质准则(WQGs)。评估了溶解有机碳(DOC)、硬度和 pH 对三种代表性分类群(大型溞、蓝鳃太阳鱼和斜生栅藻)的 Fe 毒性的影响。DOC 和 pH 均被确定为蓝鳃太阳鱼和斜生栅藻的毒性调节因子(TMFs),而只有 DOC 是大型溞的 TMF。基于有效浓度 10%和 20%值的 MLR 模型被开发出来,并表现出相当好的性能,所有物种和统计终点的调整 R 值为 0.68-0.89。物种之间的 MLR 模型差异排除了综合模型的开发。相反,基于物种特异性的模型被认为是无脊椎动物、鱼类和藻类的代表,并相应地应用于正常化毒性数据。物种敏感性分布(SSD)包括标准实验室毒性数据和水生昆虫中基于中尺度实验的效应数据,水生昆虫是 SSD 最低四分位数中的主要分类群。使用欧盟方法推导出 WQGs,将 MLR 模型应用于 SSD 会导致在评估的 TMF 条件下(DOC:0.5-10 mg l;pH:6.0-8.4),Fe 的 WQGs 范围从 114 到 765 μg l 不等,使用美国环境保护署(USEPA)方法得出的 WQGs 略高(199-910 μg l)。在这些推导中,一个重要的不确定性是大型溞 MLR 模型(无 pH 参数)是否适用于水生昆虫,了解水生昆虫对 Fe 毒性的 pH 敏感性是一个研究重点。提供了一个基于 Excel 的工具,用于在一系列 TMF 条件下使用欧盟和 USEPA 方法计算 Fe WQGs。Environ Toxicol Chem 2023;42:1386-1400。版权所有 2023 年由 SETAC Wiley 期刊出版公司代表发布。