Confirming the Species-Sensitivity Distribution Concept for Endosulfan Using Laboratory, Mesocosm, and Field Data

  • G. C. Hose
  • P. J. Van den Brink
Article

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.

Keywords

Endosulfan Organochlorine Pesticide Field Population Mesocosm Experiment Field Monitoring 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag New York Inc. 2004

Authors and Affiliations

  • G. C. Hose
    • 1
  • P. J. Van den Brink
    • 2
  1. 1.Institute for Water and Environmental Resource Management, University of Technology, Sydney Westbourne St., Gore Hill, NSW 2065, AustraliaAustralia
  2. 2.Alterra Green World Research, Wageningen University and Research Centre, WageningenNetherlands

Personalised recommendations