Nagai Takashi
Institute for Agro-Environmental Sciences, NARO, 3-1-3 Kannondai, Tsukuba, 305-8604, Japan.
J Pestic Sci. 2017 Aug 20;42(3):124-131. doi: 10.1584/jpestics.J17-03.
Species sensitivity distribution (SSD) is a key concept of probabilistic analysis for quantifying ecological risk. I developed a method of probabilistic ecological risk assessment in Japan with a case study of the herbicide simetryn. Then, risk comparison among eleven herbicides was conducted using the developed method. However, one of the most important limitations of SSD application is the lack of sufficient toxicity data for SSD analysis. Thus, an ecotoxicity database was developed for the application of SSD to a wide range of pesticides. After that, I proposed that species batteries of the five species should be the standardized dataset for the SSD analysis of insecticides and herbicides. Finally, I have published a technical guidance document for SSD analysis written in Japanese to promote the application of SSDs in Japan. The remarkable point is that the supplemental Excel-based tool makes it easy to analyze SSDs and conduct ecological risk assessments.
物种敏感度分布（SSD）是用于量化生态风险的概率分析的关键概念。我在日本开发了一种概率生态风险评估方法，并以除草剂西草净为例进行了案例研究。然后，使用所开发的方法对11种除草剂进行了风险比较。然而，SSD应用的最重要限制之一是缺乏用于SSD分析的足够毒性数据。因此，开发了一个生态毒性数据库，以便将SSD应用于广泛的农药。之后，我提议将五种物种的物种组合作为杀虫剂和除草剂SSD分析的标准化数据集。最后，我发表了一份用日语编写的SSD分析技术指导文件，以促进SSD在日本的应用。值得注意的是，基于Excel的补充工具使SSD分析和进行生态风险评估变得容易。
