Literature DB >> 14982398

Effects of data manipulation and statistical methods on species sensitivity distributions.

Cédric Duboudin1, Philippe Ciffroy, Hélène Magaud.   

Abstract

Species sensitivity distribution (SSD) methodology currently is used in environmental risk assessment to determine the predicted no-effect concentration (PNEC) of a substance in cases where a sufficient number of chronic ecotoxicological tests have been carried out on the substance, covering, for the aquatic environment with which we are concerned, three taxonomic groups: algae, invertebrates, and vertebrates. In particular, SSD methodology enables calculation of a hazardous concentration that is assumed to protect 95% of species (HC5). This approach is based on the hypothesis that the species for which results of ecotoxicological tests are known are representative, in terms of sensitivity, of the totality of the species in the environment, which raises a number of questions, both theoretical and practical. In this study, we compared various methods of constructing a species sensitivity-weighted distribution (SSWD). Each method is characterized by a different way of taking into account intraspecies variation and proportions of taxonomic groups (vertebrates, invertebrates, and algae), as well as by the statistical method of calculation of the HC5 and its confidence interval. Those methods are tested on 15 substances by using chronic no-observed-effect concentration data available in the literature. The choice of data (intraspecies variation and proportions between taxonomic groups) was found to have more effect on the value of the HC5 than the statistical method used to construct the distribution. The weight of each taxonomic group is the most important parameter for the result of the SSWD and letting literature references decide which proportions of data are used to construct it is not satisfactory.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 14982398     DOI: 10.1897/03-159

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  9 in total

1.  SSD-based rating system for the classification of pesticide risk on biodiversity.

Authors:  Serenella Sala; Sonia Migliorati; Gianna S Monti; Marco Vighi
Journal:  Ecotoxicology       Date:  2012-01-22       Impact factor: 2.823

2.  A Bayesian approach to probabilistic ecological risk assessment: risk comparison of nine toxic substances in Tokyo surface waters.

Authors:  Takehiko I Hayashi; Nobuhisa Kashiwagi
Journal:  Environ Sci Pollut Res Int       Date:  2010-08-05       Impact factor: 4.223

3.  Risk assessment of herbicides and booster biocides along estuarine continuums in the Bay of Vilaine area (Brittany, France).

Authors:  Th Caquet; M Roucaute; N Mazzella; F Delmas; C Madigou; E Farcy; Th Burgeot; J-P Allenou; R Gabellec
Journal:  Environ Sci Pollut Res Int       Date:  2012-09-16       Impact factor: 4.223

4.  Validation of the species sensitivity distribution in retrospective risk assessment of herbicides at the river basin scale-the Scheldt river basin case study.

Authors:  Sona Jesenska; Sabina Nemethova; Ludek Blaha
Journal:  Environ Sci Pollut Res Int       Date:  2013-03-27       Impact factor: 4.223

5.  Keystone indices probabilistic species sensitivity distribution in the case of the derivation of water quality criteria for copper in Tai Lake.

Authors:  Jun Hou; Qianyuan Zhao; Peifang Wang; Chao Wang; Lingzhan Miao; Chenglian Feng
Journal:  Environ Sci Pollut Res Int       Date:  2016-03-21       Impact factor: 4.223

6.  Weighted species sensitivity distribution method to derive site-specific quality criteria for copper in Tai Lake, China.

Authors:  Rui Shi; Chunhui Yang; Runhua Su; Jiarui Jin; Yi Chen; Hongling Liu; John P Giesy; Hongxia Yu
Journal:  Environ Sci Pollut Res Int       Date:  2014-07-02       Impact factor: 4.223

7.  Different acute toxicity of fipronil baits on invasive Linepithema humile supercolonies and some non-target ground arthropods.

Authors:  Daisuke Hayasaka; Naoki Kuwayama; Azuma Takeo; Takanobu Ishida; Hiroyuki Mano; Maki N Inoue; Takashi Nagai; Francisco Sánchez-Bayo; Koichi Goka; Takuo Sawahata
Journal:  Ecotoxicology       Date:  2015-05-17       Impact factor: 2.823

8.  A comparison of statistical methods for deriving freshwater quality criteria for the protection of aquatic organisms.

Authors:  Liqun Xing; Hongling Liu; Xiaowei Zhang; Markus Hecker; John P Giesy; Hongxia Yu
Journal:  Environ Sci Pollut Res Int       Date:  2013-01-15       Impact factor: 4.223

9.  Deriving Field-Based Ecological Risks for Bird Species.

Authors:  Renske P J Hoondert; Jelle P Hilbers; A Jan Hendriks; Mark A J Huijbregts
Journal:  Environ Sci Technol       Date:  2018-03-09       Impact factor: 9.028

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.