Ecological risk assessment is challenged by the need to assess hazard to the diverse communities of organisms inhabiting aquatic and terrestrial systems. Computational approaches, such as Quantitative Structure Activity Relationships (QSAR) and Interspecies Correlation Estimation (ICE) models, are useful tools that provide estimates of acute toxicity where data are lacking or limited for ecological risk assessments (ERA). This review describes the technical basis of ICE models for use in pesticide ERA that may be used in conjunction with QSAR model estimates or surrogate species toxicity data and demonstrates the potential for improving hazard assessment. Validation and uncertainty analysis of ICE model predictions are summarized and used as guidance for selecting ICE models and evaluating toxicity predictions. A user-friendly web-based ICE modelling platform (Web-ICE) is described and demonstrated through case studies. Case studies include the development of Species Sensitivity Distributions generated from QSAR and ICE estimates, comparative sensitivity for a pesticide and its degradate, and application of ICE-estimated toxicity values for listed species assessments.

中文翻译：

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种间相关估计（ICE）模型和QSAR在估计物种对农药的敏感性中的应用。

生态风险评估面临的挑战是需要评估对生活在水生和陆地系统中的各种生物群落的危害。计算方法，例如定量结构活性关系（QSAR）和种间相关性估计（ICE）模型，是有用的工具，可以在缺乏或缺乏生态风险评估（ERA）数据的情况下估计急性毒性。这篇综述描述了可用于农药ERA的ICE模型的技术基础，该模型可与QSAR模型估计值或替代物种毒性数据结合使用，并证明了改进危害评估的潜力。总结了ICE模型预测的有效性和不确定性分析，并为选择ICE模型和评估毒性预测提供了指导。通过案例研究描述并演示了基于Web的用户友好型ICE建模平台（Web-ICE）。案例研究包括根据QSAR和ICE估算得出的物种敏感性分布，对农药及其降解物的相对敏感性以及将ICE估算的毒性值用于所列物种评估的情况。