Literature DB >> 26396014

Comparison of specific versus literature species sensitivity distributions for herbicides risk assessment.

Floriane Larras1,2, Vincent Gregorio3, Agnès Bouchez4,5, Bernard Montuelle1,2, Nathalie Chèvre3.   

Abstract

Species sensitivity distributions (SSDs) are an important predictive tool in risk assessment. Usually, literature data are used to build SSDs that are mostly based on planktonic species. But, to get adequate protective thresholds for environmental communities, one could argue that SSD should be built on ecotoxicological data obtained from species found in the ecosystem that should be protected. This is particularly true when benthic algae are of concern. Due to the lack of literature data, building SSD on benthic microalgae is difficult. This paper aims in comparing SSDs, and thus protective thresholds (hazardous concentration that affects 5% of the species of a community, HC5), built on ecotoxicological data obtained (1) from literature and (2) with specific bioassays on benthic diatoms from a lake. Thresholds were derived for protection against four herbicides separately and for a mixture of them. Sensitivity data obtained from literature were statistically lower than the specific data for all herbicides: Species tested in the literature were usually more sensitive (mainly chlorophytes), leading to more protective lower HC5. The HC5 thresholds (literature or specific) derived for protection against the mixture were also compared to the observed sensitivity of an assemblage of benthic diatom species exposed to an increasing range of herbicide mixture concentrations. We observed that one species within the assemblage (Fragilaria rumpens) was affected at a concentration below both the literature and the specific HC5 thresholds.

Entities:  

Keywords:  Assemblage; Benthic diatoms; Chlorophytes; Ecotoxicological data; Herbicides; Mixture; Species sensitivity distribution

Mesh:

Substances:

Year:  2015        PMID: 26396014     DOI: 10.1007/s11356-015-5430-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  23 in total

1.  Relevance of generic and site-specific species sensitivity distributions in the current risk assessment procedures for copper and zinc.

Authors:  Bart T A Bossuyt; Brita T A Muyssen; Colin R Janssen
Journal:  Environ Toxicol Chem       Date:  2005-02       Impact factor: 3.742

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.  Deriving site-specific sediment quality guidelines for Hong Kong marine environments using field-based species sensitivity distributions.

Authors:  Kevin W H Kwok; Anders Bjorgesaeter; Kenneth M Y Leung; Gilbert C S Lui; John S Gray; Paul K S Shin; Paul K S Lam
Journal:  Environ Toxicol Chem       Date:  2008-01       Impact factor: 3.742

4.  Including mixtures in the determination of water quality criteria for herbicides in surface water.

Authors:  Nathalie Chèvre; Christian Loepfe; Heinz Singer; Christian Stamm; Kathrin Fenner; Beate I Escher
Journal:  Environ Sci Technol       Date:  2006-01-15       Impact factor: 9.028

5.  Variations of periphytic diatom sensitivity to the herbicide diuron and relation to species distribution in a contamination gradient: implications for biomonitoring.

Authors:  Vincent Roubeix; Nicolas Mazzella; Laurie Schouler; Vincent Fauvelle; Soizic Morin; Michel Coste; François Delmas; Christelle Margoum
Journal:  J Environ Monit       Date:  2011-05-05

6.  Risk of herbicide mixtures as a key parameter to explain phytoplankton fluctuation in a great lake: the case of Lake Geneva, Switzerland.

Authors:  Vincent Gregorio; Lucie Büchi; Orlane Anneville; Frédéric Rimet; Agnès Bouchez; Nathalie Chèvre
Journal:  Ecotoxicology       Date:  2012-08-09       Impact factor: 2.823

7.  Predicting the joint algal toxicity of multi-component s-triazine mixtures at low-effect concentrations of individual toxicants.

Authors:  M Faust; R Altenburger; T Backhaus; H Blanck; W Boedeker; P Gramatica; V Hamer; M Scholze; M Vighi; L H Grimme
Journal:  Aquat Toxicol       Date:  2001-12-03       Impact factor: 4.964

8.  Comparison of the ecotoxicological impact of the triazines Irgarol 1051 and atrazine on microalgal cultures and natural microalgal communities in Lake Geneva.

Authors:  A Bérard; U Dorigo; I Mercier; K Becker-van Slooten; D Grandjean; C Leboulanger
Journal:  Chemosphere       Date:  2003-12       Impact factor: 7.086

9.  Joint algal toxicity of phenylurea herbicides is equally predictable by concentration addition and independent action.

Authors:  Thomas Backhaus; Michael Faust; Martin Scholze; Paola Gramatica; Marco Vighi; L Horst Grimme
Journal:  Environ Toxicol Chem       Date:  2004-02       Impact factor: 3.742

10.  Using bioassays and species sensitivity distributions to assess herbicide toxicity towards benthic diatoms.

Authors:  Floriane Larras; Agnès Bouchez; Frédéric Rimet; Bernard Montuelle
Journal:  PLoS One       Date:  2012-08-30       Impact factor: 3.240

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  1 in total

1.  Sensitivities of seven algal species to triclosan, fluoxetine and their mixtures.

Authors:  Ran Bi; Xiangfeng Zeng; Lei Mu; Liping Hou; Wenhua Liu; Ping Li; Hongxing Chen; Dan Li; Agnes Bouchez; Jiaxi Tang; Lingtian Xie
Journal:  Sci Rep       Date:  2018-10-18       Impact factor: 4.379

  1 in total

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