Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 333905
Title Confirming the species-sensitivity distribution concept for endosulfan using laboratory, mesocosm, and field data
Author(s) Hose, G.C.; Brink, P.J. van den
Source Archives of Environmental Contamination and Toxicology 47 (2004)4. - ISSN 0090-4341 - p. 511 - 520.
Department(s) Alterra - Centre for Water and Climate
Wageningen Environmental Research
Publication type Refereed Article in a scientific journal
Publication year 2004
Keyword(s) ecological risk-assessment - namoi river - toxicity - water - fish - pesticides - australia - sediment
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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