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多种线性回归和生物配体模型在估算淡水铜生物有效性方面的比较性能。

Comparative Performance of Multiple Linear Regression and Biotic Ligand Models for Estimating the Bioavailability of Copper in Freshwater.

机构信息

EcoTox, Miami, Florida, USA.

University of Miami, Rosenstiel School of Marine and Atmospheric Sciences, Miami, Florida, USA.

出版信息

Environ Toxicol Chem. 2021 Jun;40(6):1649-1661. doi: 10.1002/etc.5012. Epub 2021 May 8.

Abstract

An increasing number of metal bioavailability models are available for use in setting regulations and conducting risk assessments in aquatic systems. Selection of the most appropriate model is dependent on the user's needs but will always benefit from an objective, comparative assessment of the performance of available models. In 2017, an expert workshop developed procedures for assessing metal bioavailability models. The present study applies these procedures to evaluate the performance of biotic ligand models (BLMs) and multiple linear regression (MLR) models for copper. We find that the procedures recommended by the expert workshop generally provide a robust series of metrics for evaluating model performance. However, we recommend some modifications to the analysis of model residuals because the current method is insensitive to relatively large differences in residual patterns when comparing models. We also provide clarification on details of the evaluation procedure which, if not applied correctly, could mischaracterize model performance. We found that acute Cu MLR and BLM performances are quite comparable, though there are differences in performance on a species-specific basis and in the resulting water quality criteria as a function of water chemistry. In contrast, the chronic Cu MLR performed distinctly better than the BLM. Observed differences in performance are due to the smaller effects of hardness and pH on chronic Cu toxicity compared to acute Cu toxicity. These differences are captured in the chronic MLR model but not the chronic BLM, which only adjusts for differences in organism sensitivity. In general, we continue to recommend concurrent development of both modeling approaches because they provide useful comparative insights into the strengths, limitations, and predictive capabilities of each model. Environ Toxicol Chem 2021;40:1649-1661. © 2021 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

摘要

越来越多的金属生物有效性模型可用于制定水生系统的法规和进行风险评估。选择最合适的模型取决于用户的需求,但始终受益于对现有模型性能进行客观、比较的评估。2017 年,一个专家研讨会制定了评估金属生物有效性模型的程序。本研究应用这些程序来评估生物配体模型 (BLMs) 和铜的多元线性回归 (MLR) 模型的性能。我们发现,专家研讨会推荐的程序通常为评估模型性能提供了一系列可靠的指标。然而,我们建议对模型残差的分析进行一些修改,因为当前的方法在比较模型时,对于残差模式的相对较大差异不敏感。我们还对评估程序的细节进行了澄清,如果不正确应用,可能会错误地描述模型的性能。我们发现,急性 Cu MLR 和 BLM 的性能相当可比,尽管在物种特异性基础上以及作为水化学函数的水质标准上存在性能差异。相比之下,慢性 Cu MLR 的性能明显优于 BLM。观察到的性能差异是由于与急性 Cu 毒性相比,硬度和 pH 对慢性 Cu 毒性的影响较小。这些差异在慢性 MLR 模型中被捕获,但在慢性 BLM 模型中没有被捕获,后者仅调整了生物体敏感性的差异。总的来说,我们继续建议同时开发这两种建模方法,因为它们为每种模型的优势、局限性和预测能力提供了有用的比较见解。环境毒理化学 2021;40:1649-1661。©2021 作者。环境毒理化学由 Wiley 期刊公司代表 SETAC 出版。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e45/8252496/ec231809989a/ETC-40-1649-g002.jpg

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