Ecological effect assessment by species sensitivity distribution for 68 pesticides used in Japanese paddy fields

Nagai, Takashi

doi:10.1584/jpestics.d15-056

Cited by 31 publications

(39 citation statements)

References 25 publications

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“…8) Differences in species sensitivity to environmental contaminants can be described by the statistical distribution (often a log-normal distribution), and the SSD has been used as a key concept for higher-tier ecological effect assessment. 7) First, SSD analysis was conducted using the obtained EC 50 data for seven species. All data were converted to interval data according to Nagai.…”

Section: Analysis Of Species Sensitivity Indexmentioning

confidence: 99%

“…5) Recently, it was determined that the differences in algal species sensitivity to herbicides are remarkably large. [6][7][8] In our previous study, an efficient and economical high-throughput algal toxicity assay using five riverine periphytic species was developed. 9) The use of a microplate assay, in which periphytic algae are attached to the bottom of a microplate, 10,11) was combined with fluorometric measurement of algal growth with high measurement sensitivity.…”

Section: Introductionmentioning

confidence: 99%

“…12) In addition to our tested toxicity data, obtained toxicity data from open literature and databases were analyzed, and more robust evidence of the relationship between sensitive species and herbicide MoA was found. 7,8) However, the quality and quantity of available data differ markedly among herbicides, and herbicides with only some MoAs have sufficient toxicity data to assess differences in species sensitivity. 8) Thus, there are many herbicides with MoAs whose sensitivity differences are not yet well understood.…”

Section: Introductionmentioning

confidence: 99%

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Sensitivity differences among seven algal species to 12 herbicides with various modes of action

Nagai

2019

J. Pestic. Sci.

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Seven algal species were used to conduct toxicity assays with 12 herbicides to determine differences in species sensitivity. A fluorescence microplate toxicity assay was used as an efficient and economical high-throughput assay. The obtained toxicity data were standardized based on the species sensitivity distribution concept. The most-sensitive individual species differed among herbicides: Desmodesmus subspicatus was most sensitive to chloronitrofen and pendimethalin; Achnanthidium minutissimum was most sensitive to chlorpropham; Nitzschia palea was most sensitive to diquat, glyphosate, and dichlobenil; Navicula pelliculosa was most sensitive to trifluralin; and Pseudanabaena foetida was most sensitive to glufosinate, asulam, and 2,4-D. Surprisingly, Raphidocelis (formerly Pseudokirchneriella) subcapitata, a standard green alga, was not the most sensitive to any of the herbicides. The results clearly showed that a single algal species cannot represent the algal assemblage in terms of sensitivity. Therefore, multispecies algal toxicity data sets are essential for assessing the ecological effect of herbicides.

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Section: Analysis Of Species Sensitivity Indexmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sensitivity differences among seven algal species to 12 herbicides with various modes of action

Nagai

2019

J. Pestic. Sci.

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“…In addition, aquatic species have been shown to be sensitive to the concentration of pollution (see e.g., Ccanccapa, Masiá, Navarro-Ortega, Picó, & Barceló, 2016;Milano et al, 2018;Palma et al, 2018). The quality of the river in terms of nutrient and pesticide concentration is an important stress factor for aquatic organisms, whose sensitivity to pollution often follows a log-normal distribution (Nagai, 2016). These studies suggest that it is extremely important to avoid underestimating the effects of pesticides on aquatic species and to rely on precise methods and standards to track pesticides and assess the chemical status of rivers.…”

Section: Water Protection Standards Must Be As Strict As Possiblementioning

confidence: 99%

“…The current evaluations of the chemical status of rivers rely on individual pesticide concentrations and do not take into account mixture of pesticides (Nowell, Norman, Moran, Martin, & Stone, 2014;Stehle & Schulz, 2018). They also omit the possible impacts of pesticides on aquatic species (Nagai, 2016). The proposal for new standards by DETEC is part of this dynamic.…”

Section: Mixture Of Pesticides Must Be Taken Into Accountmentioning

confidence: 99%

How water quality standards for pesticides affect the classification of the chemical status of rivers

Milano

Chèvre

2019

WIREs Water

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Awareness of the presence of high concentrations of pesticides in Swiss rivers has increased in the last decade. Since 2017, the Federal Department of the Environment, Transport, Energy and Communications is planning to introduce new regulatory acceptable concentrations for surface water of 38 organic pesticides. Based on pesticide concentration analyses carried out in a small agricultural catchment in the canton of Vaud, over the 2005–2015 period, we review the impacts of this legislative revision on the chemical status of rivers. A first comparison between the historical standard (0.1 μg/L) and revised water quality criteria (WQC) highlights that standards are raised for 12 pesticides and lowered for 25 pesticides, sometimes with very high ratios. Risk coefficients were computed based on the historical standard and revised WQC to determine the chemical status of the river. The worst‐case value was retained to define this status. Individual risk coefficients indicate that more pesticides meet the revised WQC than the historical one, leading to very different chemical status. According to the historical standard, the chemical status of the Boiron River is defined as moderate to poor, and the main problem is the presence of herbicides. According to the revised WQC, the chemical status is good, and periodically moderate or poor. Ninety percent of the pesticides identified had a low to very low ecotoxicological risk coefficient. Other issues related to insecticides were identified. Based on these results, we discuss the importance of the standard chosen when defining regulatory acceptable concentrations. This article is categorized under: Water and Life > Conservation, Management, and Awareness Science of Water > Water Quality Engineering Water > Sustainable Engineering of Water

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Predicting herbicide mixture effects on multiple algal species using mixture toxicity models

Nagai

2017

Enviro Toxic and Chemistry

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The validity of the application of mixture toxicity models, concentration addition and independent action, to a species sensitivity distribution (SSD) for calculation of a multisubstance potentially affected fraction was examined in laboratory experiments. Toxicity assays of herbicide mixtures using 5 species of periphytic algae were conducted. Two mixture experiments were designed: a mixture of 5 herbicides with similar modes of action and a mixture of 5 herbicides with dissimilar modes of action, corresponding to the assumptions of the concentration addition and independent action models, respectively. Experimentally obtained mixture effects on 5 algal species were converted to the fraction of affected (>50% effect on growth rate) species. The predictive ability of the concentration addition and independent action models with direct application to SSD depended on the mode of action of chemicals. That is, prediction was better for the concentration addition model than the independent action model for the mixture of herbicides with similar modes of action. In contrast, prediction was better for the independent action model than the concentration addition model for the mixture of herbicides with dissimilar modes of action. Thus, the concentration addition and independent action models could be applied to SSD in the same manner as for a single-species effect. The present study to validate the application of the concentration addition and independent action models to SSD supports the usefulness of the multisubstance potentially affected fraction as the index of ecological risk. Environ Toxicol Chem 2017;36:2624-2630. © 2017 SETAC.

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Ecological effect assessment by species sensitivity distribution for 68 pesticides used in Japanese paddy fields

Cited by 31 publications

References 25 publications

Sensitivity differences among seven algal species to 12 herbicides with various modes of action

Sensitivity differences among seven algal species to 12 herbicides with various modes of action

How water quality standards for pesticides affect the classification of the chemical status of rivers

Predicting herbicide mixture effects on multiple algal species using mixture toxicity models

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