Sanni Steinar, Lyng Emily, Pampanin Daniela M, Smit Mathijs G D
IRIS - International Research Institute of Stavanger, P.O. Box 8046, N-4068, Stavanger, Norway; University of Stavanger, Faculty of Science and Technology, Department of Mathematics and Natural Science, N-4036 Stavanger, Norway.
IRIS - International Research Institute of Stavanger, P.O. Box 8046, N-4068, Stavanger, Norway.
Mar Environ Res. 2017 Jun;127:11-23. doi: 10.1016/j.marenvres.2016.12.003. Epub 2016 Dec 26.
The aim of this paper is to bridge gaps between biomarker and whole organism responses related to oil based offshore discharges. These biomarker bridges will facilitate acceptance criteria for biomarker data linked to environmental risk assessment and translate biomarker results to higher order effects. Biomarker based species sensitivity distributions (SSD) have been constructed for relevant groups of biomarkers based on laboratory data from oil exposures. SSD curves express the fraction of species responding to different types of biomarkers. They have been connected to SSDs for whole organism responses (WORs) constructed in order to relate the SSD to animal fitness parameters that are commonly used in environmental risk assessment. The resulting SSD curves show that biomarkers and WORs can be linked through their potentially affected fraction of species (PAF) distributions, enhancing the capability to monitor field parameters with better correlation to impact and risk assessment criteria and providing improved chemical/biological integration.
本文的目的是弥合与海上油基排放相关的生物标志物与整个生物体反应之间的差距。这些生物标志物桥梁将促进与环境风险评估相关的生物标志物数据的验收标准,并将生物标志物结果转化为更高层次的影响。基于石油暴露的实验室数据,已为相关生物标志物组构建了基于生物标志物的物种敏感性分布(SSD)。SSD曲线表示对不同类型生物标志物有反应的物种比例。它们已与为整个生物体反应(WOR)构建的SSD相连接,以便将SSD与环境风险评估中常用的动物健康参数相关联。所得的SSD曲线表明,生物标志物和WOR可以通过其潜在受影响物种比例(PAF)分布联系起来,增强了监测与影响和风险评估标准具有更好相关性的现场参数的能力,并提供了改进的化学/生物整合。