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基于物种敏感度分布对38种具有不同作用模式的农药进行生态效应评估。

Ecological effect assessment by species sensitivity distribution for 38 pesticides with various modes of action.

作者信息

Nagai Takashi

机构信息

Institute for Agro-Environmental Sciences, NARO, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604, Japan.

出版信息

J Pestic Sci. 2021 Nov 20;46(4):366-372. doi: 10.1584/jpestics.D21-034.

DOI:10.1584/jpestics.D21-034
PMID:34908897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8640677/
Abstract

Species sensitivity distributions (SSDs) of 38 pesticides with various modes of action were analyzed as a higher-tier ecological effect assessment based on collected acute toxicity data. Then the 5% hazardous concentrations (HC) based on each SSD were calculated as the predicted no-effect concentrations for aquatic ecosystems. The differences between HC and registration criteria were small (within ten-fold) for 35 of the 38 pesticides. However, there were more than ten-fold differences for a fungicide and two herbicides. These results suggest that the current effect assessment scheme could underestimate the effect of such pesticides. This could be caused by differences in sensitivity of specific properties of the mode of action.

摘要

基于收集到的急性毒性数据，对38种具有不同作用模式的农药的物种敏感性分布（SSD）进行了分析，作为更高层次的生态效应评估。然后，根据每个SSD计算出5%的危险浓度（HC），作为水生生态系统的预测无效应浓度。38种农药中的35种，其HC与登记标准之间的差异较小（在十倍以内）。然而，一种杀菌剂和两种除草剂的差异超过了十倍。这些结果表明，当前的效应评估方案可能低估了此类农药的效应。这可能是由作用模式的特定特性的敏感性差异导致的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bff3/8640677/cf40d792d233/jps-46-4-D21-034-figure03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bff3/8640677/42bbc658bafb/jps-46-4-D21-034-figure01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bff3/8640677/a64c7fa33225/jps-46-4-D21-034-figure02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bff3/8640677/cf40d792d233/jps-46-4-D21-034-figure03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bff3/8640677/42bbc658bafb/jps-46-4-D21-034-figure01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bff3/8640677/a64c7fa33225/jps-46-4-D21-034-figure02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bff3/8640677/cf40d792d233/jps-46-4-D21-034-figure03.jpg

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本文引用的文献

1
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J Pestic Sci. 2020 Nov 20;45(4):223-229. doi: 10.1584/jpestics.D20-035.
2
Sensitivity differences among seven algal species to 12 herbicides with various modes of action.七种藻类对12种具有不同作用模式的除草剂的敏感性差异。
J Pestic Sci. 2019 Nov 20;44(4):225-232. doi: 10.1584/jpestics.D19-039.
3
Ecological effect assessment by species sensitivity distribution for 68 pesticides used in Japanese paddy fields.
基于物种敏感性分布的日本稻田使用的68种农药的生态效应评估。
J Pestic Sci. 2016 Feb 20;41(1):6-14. doi: 10.1584/jpestics.D15-056.
4
Acute tier-1 and tier-2 effect assessment approaches in the EFSA Aquatic Guidance Document: are they sufficiently protective for insecticides?欧洲食品安全局水生生物指导文件中的急性一级和二级效应评估方法：它们对杀虫剂的保护作用是否足够？
Pest Manag Sci. 2015 Aug;71(8):1059-67. doi: 10.1002/ps.3937. Epub 2014 Nov 25.
5
Ecological risk assessment of atrazine in North American surface waters.北美地表水中莠去津的生态风险评估。
Environ Toxicol Chem. 2013 Jan;32(1):10-1. doi: 10.1002/etc.2050.
6
Refined aquatic risk assessment for aldicarb in the United States.美国对涕灭威的精细化水生风险评估。
Integr Environ Assess Manag. 2010 Jan;6(1):102-18. doi: 10.1897/IEAM_2009-024.1.
7
Fungicide risk assessment for aquatic ecosystems: importance of interspecific variation, toxic mode of action, and exposure regime.水生生态系统的杀菌剂风险评估：种间差异、毒性作用模式和暴露方式的重要性
Environ Sci Technol. 2009 Oct 1;43(19):7556-63. doi: 10.1021/es901461c.
8
Screening-level risk assessment of Di(2-ethylhexyl)phthalate for aquatic organisms using monitoring data in Japan.利用日本的监测数据对邻苯二甲酸二（2-乙基己基）酯进行水生生物筛选水平风险评估。
Environ Monit Assess. 2006 Apr;115(1-3):451-71. doi: 10.1007/s10661-006-7239-8. Epub 2006 Apr 30.
9
Ecological effects of pesticide use in The Netherlands: modeled and observed effects in the field ditch.
Integr Environ Assess Manag. 2005 Apr;1(2):123-34. doi: 10.1897/ieam_2004-015.1.
10
Insecticide species sensitivity distributions: importance of test species selection and relevance to aquatic ecosystems.杀虫剂物种敏感性分布：测试物种选择的重要性及其与水生生态系统的相关性。
Environ Toxicol Chem. 2005 Feb;24(2):379-88. doi: 10.1897/04-025r.1.