Literature DB >> 30363390

Studies on ecological risk assessment of pesticide using species sensitivity distribution.

Takashi Nagai1.   

Abstract

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.

Entities:  

Keywords:  algae; arthropod; database; risk management

Year:  2017        PMID: 30363390      PMCID: PMC6173168          DOI: 10.1584/jpestics.J17-03

Source DB:  PubMed          Journal:  J Pestic Sci        ISSN: 1348-589X            Impact factor:   1.519


  11 in total

1.  Refined aquatic risk assessment for aldicarb in the United States.

Authors:  Dwayne R J Moore; Ryan P Thompson; Sara I Rodney; David Fischer; Tharacad Ramanarayanan; Tilghman Hall
Journal:  Integr Environ Assess Manag       Date:  2010-01       Impact factor: 2.992

2.  Insecticide species sensitivity distributions: importance of test species selection and relevance to aquatic ecosystems.

Authors:  Lorraine Maltby; Naomi Blake; Theo C M Brock; Paul J van den Brink
Journal:  Environ Toxicol Chem       Date:  2005-02       Impact factor: 3.742

3.  Evaluation of criteria used to assess the quality of aquatic toxicity data.

Authors:  Dustin A Hobbs; Michael St J Warne; Scott J Markich
Journal:  Integr Environ Assess Manag       Date:  2005-07       Impact factor: 2.992

4.  Fungicide risk assessment for aquatic ecosystems: importance of interspecific variation, toxic mode of action, and exposure regime.

Authors:  Lorraine Maltby; Theo C M Brock; Paul J Van den Brink
Journal:  Environ Sci Technol       Date:  2009-10-01       Impact factor: 9.028

5.  Comparative toxicity of 20 herbicides to 5 periphytic algae and the relationship with mode of action.

Authors:  Takashi Nagai; Kiyoshi Taya; Ikuko Yoda
Journal:  Environ Toxicol Chem       Date:  2015-12-15       Impact factor: 3.742

6.  Deriving field-based species sensitivity distributions (f-SSDs) from stacked species distribution models (S-SDMs).

Authors:  Aafke M Schipper; Leo Posthuma; Dick de Zwart; Mark A J Huijbregts
Journal:  Environ Sci Technol       Date:  2014-12-03       Impact factor: 9.028

Review 7.  Acute tier-1 and tier-2 effect assessment approaches in the EFSA Aquatic Guidance Document: are they sufficiently protective for insecticides?

Authors:  René P A van Wijngaarden; Lorraine Maltby; Theo C M Brock
Journal:  Pest Manag Sci       Date:  2014-11-25       Impact factor: 4.845

8.  Ecological risks of diazinon from agricultural use in the Sacramento-San Joaquin River Basins, California.

Authors:  J M Giddings; L W Hall; K R Solomon
Journal:  Risk Anal       Date:  2000-10       Impact factor: 4.000

9.  Estimation of herbicide species sensitivity distribution using single-species algal toxicity data and information on the mode of action.

Authors:  Takashi Nagai; Kiyoshi Taya
Journal:  Environ Toxicol Chem       Date:  2015-02-02       Impact factor: 3.742

10.  Application of a fluorometric microplate algal toxicity assay for riverine periphytic algal species.

Authors:  Takashi Nagai; Kiyoshi Taya; Hirochica Annoh; Satoru Ishihara
Journal:  Ecotoxicol Environ Saf       Date:  2013-05-21       Impact factor: 6.291

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