Literature DB >> 32924457

Can We Reasonably Predict Chronic Species Sensitivity Distributions from Acute Species Sensitivity Distributions?

Kyoshiro Hiki1, Yuichi Iwasaki2.   

Abstract

Estimation of species sensitivity distributions (SSDs) is an essential way to estimate the hazardous concentration for 5% of the species (HC5) and thus to derive a "safe" concentration. Here, we examined whether we can reasonably predict SSDs based on chronic no-observed-effect concentration or level (chronic SSDs) from SSDs based on acute median effective/lethal concentration (acute SSDs) by analyzing log-normal SSDs of 150 chemicals. Chronic SSD means were, on average, 10 times lower than acute SSD means. The standard deviations (SDs) of acute and chronic SSDs closely overlapped. Our detailed analysis suggests that the acute SSD SD can be used as an initial estimate of the chronic SSD SD if the number of tested species is ≥10. There were no significant differences in the ratios of chronic to acute SSD means or SDs among three different modes of action. The HC5 of chronic SSDs was, on average, 10 times lower than the acute SSD HC5. We suggest that multiplication of the acute HC5 by a factor of 0.1 is a defensible way to obtain a first approximation of the chronic HC5, particularly when relative ecological risks of chemicals are being evaluated. Further study is needed to develop methods for a more accurate estimation of chronic SSDs.

Entities:  

Year:  2020        PMID: 32924457     DOI: 10.1021/acs.est.0c03108

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  Estimating species sensitivity distributions on the basis of readily obtainable descriptors and toxicity data for three species of algae, crustaceans, and fish.

Authors:  Yuichi Iwasaki; Kiyan Sorgog
Journal:  PeerJ       Date:  2021-03-03       Impact factor: 2.984

2.  Comparison of Species Sensitivity Distributions for Sediment-Associated Nonionic Organic Chemicals Through Equilibrium Partitioning Theory and Spiked-Sediment Toxicity Tests with Invertebrates.

Authors:  Kyoshiro Hiki; Yuichi Iwasaki; Haruna Watanabe; Hiroshi Yamamoto
Journal:  Environ Toxicol Chem       Date:  2022-01-20       Impact factor: 4.218

3.  Can Chemical Toxicity in Saltwater Be Predicted from Toxicity in Freshwater? A Comprehensive Evaluation Using Species Sensitivity Distributions.

Authors:  Miina Yanagihara; Kyoshiro Hiki; Yuichi Iwasaki
Journal:  Environ Toxicol Chem       Date:  2022-05-27       Impact factor: 4.218

  3 in total

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