John Wiley & Sons, Ltd.

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

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Although species sensitivity distribution (SSD) is a key concept for quantitative ecological risk assessment, its application is limited owing to a lack of sufficient data for the analysis, especially on the toxicity of herbicides for primary producers. The authors developed a method of herbicide SSD estimation using single‐species toxicity data and information on the herbicide mode of action (MoA). The authors' method was based on the two assumptions: the slopes of SSD of the same MoA herbicides are the same and the relative sensitivities of standard algae in the SSD of the same MoA herbicides are the same. The two parameters of log‐normal SSD, mean sensitivity and variation in sensitivity, for 92 herbicides were determined to establish the estimation model. Mean sensitivities were linearly correlated with logarithmic 50% effect concentrations (EC50) for standard algae. The average of variations in sensitivity significantly differed among MoAs, and variations in sensitivity were constant independently of EC50 values for standard algae for the same MoA herbicides. These results were all consistent with the assumptions of our SSD estimation method. The outcome of our SSD estimation method was validated by comparing the estimated SSDs using the proposed method with the generated SSDs using toxicity data which is independent of method development. These SSDs were well consistent, and considering MoA information improved the accuracy of estimating SSD markedly. This article is protected by copyright. All rights reserved

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