Literature DB >> 15499502

Confirming the species-sensitivity distribution concept for endosulfan using laboratory, mesocosm, and field data.

G C Hose1, P J Van den Brink.   

Abstract

In Australia, water-quality trigger values for toxicants are derived using protective concentration values based on species-sensitivity distribution (SSD) curves. SSD curves are generally derived from laboratory data with an emphasis on using local or site-specific data. In this study, Australian and non-Australian laboratory-species based SSD curves were compared and the concept of species protection confirmed by comparison of laboratory-based SSD curves with local mesocosm experiments and field monitoring data. Acute LC50 data for the organochlorine pesticide endosulfan were used for these comparisons; SSD curves were fitted using the Burr type III distribution. SSD curves indicated that the sensitivities of Australian fish and arthropods were not significantly different from those of corresponding non-Australian taxa. Arthropod taxa in the mesocosm were less sensitive than taxa in laboratory tests, which suggests that laboratory-generated single-species data may be used to predict concentrations protective of semifield (mesocosm) systems. SSDs based on laboratory data were also protective of field populations.

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Year:  2004        PMID: 15499502     DOI: 10.1007/s00244-003-3212-5

Source DB:  PubMed          Journal:  Arch Environ Contam Toxicol        ISSN: 0090-4341            Impact factor:   2.804


  20 in total

1.  The pollution and ecological risk of endosulfan in soil of Huai'an city, China.

Authors:  Bin Wang; Jun Huang; Yong Lu; Shinichi Arai; Fukuya Iino; Masatoshi Morita; Gang Yu
Journal:  Environ Monit Assess       Date:  2011-12-07       Impact factor: 2.513

2.  Impact of triphenyltin acetate in microcosms simulating floodplain lakes. II. Comparison of species sensitivity distributions between laboratory and semi-field.

Authors:  I Roessink; J D M Belgers; S J H Crum; P J van den Brink; T C M Brock
Journal:  Ecotoxicology       Date:  2006-07       Impact factor: 2.823

3.  Evaluation of suitable endpoints for assessing the impacts of toxicants at the community level.

Authors:  Francisco Sánchez-Bayo; Kouchi Goka
Journal:  Ecotoxicology       Date:  2011-11-26       Impact factor: 2.823

4.  Framework for Optimizing Selection of Interspecies Correlation Estimation Models to Address Species Diversity and Toxicity Gaps in an Aquatic Database.

Authors:  Adriana C Bejarano; Sandy Raimondo; Mace G Barron
Journal:  Environ Sci Technol       Date:  2017-07-06       Impact factor: 9.028

5.  Aquatic risk assessment of pesticides in surface waters in and adjacent to the Everglades and Biscayne National Parks: I. Hazard assessment and problem formulation.

Authors:  John F Carriger; Gary M Rand
Journal:  Ecotoxicology       Date:  2008-07-19       Impact factor: 2.823

6.  A cocktail of contaminants: how mixtures of pesticides at low concentrations affect aquatic communities.

Authors:  Rick A Relyea
Journal:  Oecologia       Date:  2008-11-11       Impact factor: 3.225

7.  Comparison of species sensitivity distributions for species from China and the USA.

Authors:  Xiaonan Wang; Zhenguang Yan; Zhengtao Liu; Cong Zhang; Weili Wang; Handong Li
Journal:  Environ Sci Pollut Res Int       Date:  2013-09-08       Impact factor: 4.223

8.  Toxicity of pentachlorophenol to native aquatic species in the Yangtze River.

Authors:  Xiaowei Jin; Jinmiao Zha; Yiping Xu; John P Giesy; Zijian Wang
Journal:  Environ Sci Pollut Res Int       Date:  2011-09-01       Impact factor: 4.223

9.  Differences in ecological impacts of systemic insecticides with different physicochemical properties on biocenosis of experimental paddy fields.

Authors:  Daisuke Hayasaka; Tomoko Korenaga; Francisco Sánchez-Bayo; Koichi Goka
Journal:  Ecotoxicology       Date:  2011-08-30       Impact factor: 2.823

10.  Derivation of water quality criteria of phenanthrene using interspecies correlation estimation models for aquatic life in China.

Authors:  Jiangyue Wu; Zhengtao Liu; Zhenguang Yan; Xianliang Yi
Journal:  Environ Sci Pollut Res Int       Date:  2015-01-23       Impact factor: 4.223

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