The species sensitivity distribution (SSD) is a statistical approach that is used to estimate either the concentration of a chemical that is hazardous to no more than x% of all species (the HCx) or the proportion of species potentially affected by a given concentration of a chemical. Despite a significant body of published research and critical reviews over the past 20 yr aimed at improving the methodology, the fundamentals remain unchanged. Although there have been some recent suggestions for improvements to SSD methods in the literature, in general, few of these suggestions have been formally adopted. Furthermore, critics of the approach can rightly point to the fact that differences in technical implementation can lead to marked differences in results, thereby undermining confidence in SSD approaches. Despite the limitations, SSDs remain a practical tool and, until a demonstrably better inferential framework is available, developments and enhancements to conventional SSD practice will and should continue. We therefore believe the time has come for the scientific community to decide how it wants SSD methods to evolve. The present study summarizes the current status of, and elaborates on several recent developments for, SSD methods, specifically, model averaging, multimodality, and software development. We also consider future directions with respect to the use of SSDs, with the ultimate aim of helping to facilitate greater international collaboration and, potentially, greater harmonization of SSD methods. Environ Toxicol Chem 2021;40:293–308. © 2020 SETAC

中文翻译：

---

物种敏感性分布建模的最新进展

物种敏感性分布 (SSD) 是一种统计方法，用于估计对所有物种不超过x % 的危险化学品的浓度（HC x) 或可能受给定浓度化学品影响的物种比例。尽管在过去 20 年中有大量已发表的研究和批判性评论旨在改进该方法，但基本面保持不变。尽管最近在文献中提出了一些改进 SSD 方法的建议，但总的来说，这些建议中很少有人被正式采用。此外，该方法的批评者可以正确地指出这样一个事实，即技术实施的差异会导致结果的显着差异，从而削弱对 SSD 方法的信心。尽管有这些限制，SSD 仍然是一种实用的工具，并且在有明显更好的推理框架可用之前，传统 SSD 实践的发展和增强将会并且应该继续。因此，我们相信科学界现在是决定 SSD 方法如何发展的时候了。本研究总结了 SSD 方法的现状，并详细阐述了一些最近的发展，特别是模型平均、多模态和软件开发。我们还考虑了 SSD 使用的未来方向，最终目的是帮助促进更大的国际合作，并可能进一步协调 SSD 方法。环境毒理学化学2021；40：293-308。© 2020 SETAC