林荣华¹,
姜辉¹,
王猛²,
程沈航³,
付茂然³,
于彩虹³
1. 农业部农药检定所, 北京 100125;
2. 龙口出入境检验检疫局, 龙口 265700;
3. 中国矿业大学(北京), 北京 100083

作者简介: 林荣华(1974-),男,博士,研究方向为环境生态毒理、农药再评价,E-mail:linronghua@gari.gov.cn.

基金项目: 国家自然科学基金(31471803，31171912)；公益性行业(农业)科研专项(201203022)


中图分类号: X171.5

Application of Species Sensitivity Distribution (SSD) to the Environmental Risk Assessment of Pesticides

Lin Ronghua¹,
Jiang Hui¹,
Wang Meng²,
Cheng Shenhang³,
Fu Maoran³,
Yu Caihong³
1. Institute for the Control of Agrochemicals, Ministry of Agriculture, Beijing 100125, China;
2. Longkou Entry-exit Inspection and Quarantine Bureau, Longkou 265700, China;
3. China University of Mining and Technology(Beijing), Beijing 100083, China

CLC number: X171.5

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摘要:物种敏感度分布法(Species Sensitive Distribution，SSD)能够依据不同物种对农药等胁迫因素的敏感度服从一定的累积概率分布，以统计形式将多种非靶标物种的实验室数据进行汇总分析，获得物种对农药的敏感度差异，作为效应评估指标应用于农药风险评估。本文综述了SSD概念、方法原理、国内外研究和应用进展，并以毒死蜱为例进行了数据分析。由此建议继续关注国际上对SSD及更复杂模型模拟研究进展，以便应用于我国农药环境风险评估，推动我国农药管理的持续发展。
关键词: 农药/
物种敏感度分布方法/
效应评估/
风险评估

Abstract:The sensitivity of a species to agrochemicals follows a certain cumulative probability distribution. The Species Sensitivity Distribution (SSD), as an important evaluation index in risk assessment of agrochemicals, is often used to study variations in sensitivity of species to agrochemicals by analyzing statistical characteristics of the laboratory data of non-target species. In this paper, the concepts, principles, research progress, and applications of SSD were reviewed, and analysis of chlorpyrifos data as a case study was presented. It is suggested that keeping paying attention to the progress of SSD and its practical models, so as to apply to the environmental risk assessment of pesticides and promote the sustainable development of pesticide management in China.
Key words:pesticides/
species sensitive distribution/
effect assessment/
risk assessment.