Hose G C, Van den Brink P J
Institute for Water and Environmental Resource Management, University of Technology, Sydney Westbourne St., Gore Hill, NSW 2065, Australia.
Arch Environ Contam Toxicol. 2004 Nov;47(4):511-20. doi: 10.1007/s00244-003-3212-5.
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.
在澳大利亚，有毒物质的水质触发值是根据基于物种敏感性分布（SSD）曲线的保护浓度值得出的。SSD曲线通常从实验室数据推导而来，重点是使用本地或特定地点的数据。在本研究中，对基于澳大利亚和非澳大利亚实验室物种的SSD曲线进行了比较，并通过将基于实验室的SSD曲线与本地中宇宙实验和现场监测数据进行比较，证实了物种保护的概念。这些比较使用了有机氯农药硫丹的急性半数致死浓度（LC50）数据；SSD曲线采用Burr III型分布进行拟合。SSD曲线表明，澳大利亚鱼类和节肢动物的敏感性与相应的非澳大利亚类群没有显著差异。中宇宙中的节肢动物类类比实验室测试中的类群敏感性更低，这表明实验室生成的单物种数据可用于预测对半野外（中宇宙）系统具有保护作用的浓度。基于实验室数据的SSD对野外种群也具有保护作用。
