Mid-Continent Ecology Division, National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Duluth, Minnesota.
Integr Environ Assess Manag. 2013 Oct;9(4):600-9. doi: 10.1002/ieam.1478.
A Markov chain nest productivity model (MCnest) has been developed for projecting the effects of a specific pesticide-use scenario on the annual reproductive success of avian species of concern. A critical element in MCnest is the use of surrogate endpoints, defined as measured endpoints from avian toxicity tests that represent specific types of effects possible in field populations at specific phases of a nesting attempt. In this article, we discuss the attributes of surrogate endpoints and provide guidance for selecting surrogates from existing avian laboratory tests as well as other possible sources. We also discuss some of the assumptions and uncertainties related to using surrogate endpoints to represent field effects. The process of explicitly considering how toxicity test results can be used to assess effects in the field helps identify uncertainties and data gaps that could be targeted in higher-tier risk assessments.
已经开发出了一种马尔可夫链嵌套生产力模型(MCnest),用于预测特定农药使用情景对关注鸟类物种年度繁殖成功率的影响。MCnest 的一个关键要素是使用替代终点,定义为来自鸟类毒性测试的测量终点,代表在嵌套尝试的特定阶段野外种群中可能出现的特定类型的影响。在本文中,我们讨论了替代终点的属性,并提供了从现有的鸟类实验室测试以及其他可能来源中选择替代终点的指导。我们还讨论了使用替代终点来代表野外效应相关的一些假设和不确定性。明确考虑如何利用毒性测试结果来评估野外效应的过程有助于确定在更高层次风险评估中可以针对的不确定性和数据差距。