Centre for Ecology and Hydrology, MacLean Building Benson Lane, Wallingford, Oxfordshire, UK.
Akvaplan-niva, Fram - High North Research Centre for Climate and the Environment, 9296 Tromsø, Norway.
Sci Total Environ. 2018 Jul 1;628-629:249-260. doi: 10.1016/j.scitotenv.2018.02.058. Epub 2018 Feb 13.
In ecological risk assessment of chemicals, hazard identification and hazard characterisation are most often based on ecotoxicological tests and expressed as summary statistics such as No Observed Effect Concentrations or Lethal Concentration values and No Effect Concentrations. Considerable research is currently ongoing to further improve methodologies to take into account toxico kinetic aspects in toxicological assessments, extrapolations of toxic effects observed on individuals to population effects and combined effects of multiple chemicals effects. In this context, the principles of the Dynamic Energy Budget (DEB), namely the conserved allocation of energy to different life-supporting processes in a wide variety of different species, have been applied successfully to the development of a number of DEB models. DEB models allow the incorporation of effects on growth, reproduction and survival within one consistent framework. This review aims to discuss the principles of the DEB theory together with available DEB models, databases available and applications in ecological risk assessment of chemicals for a wide range of species and taxa. Future perspectives are also discussed with particular emphasis on ongoing research efforts to develop DEB models as open source tools to further support the research and regulatory community to integrate quantitative biology in ecotoxicological risk assessment.
在化学品的生态风险评估中，危害识别和危害特征通常基于生态毒理学测试，并以汇总统计数据表示，如无观察到效应浓度或致死浓度值和无效应浓度。目前正在进行大量研究，以进一步改进方法，以考虑毒代动力学方面在毒理学评估中，将个体观察到的毒性效应外推到种群效应和多种化学物质效应的联合效应。在这种情况下，动态能量预算（DEB）的原则，即能量在广泛不同物种的不同生命支持过程中的守恒分配，已成功应用于一些 DEB 模型的开发。DEB 模型允许在一个一致的框架内纳入对生长、繁殖和生存的影响。本综述旨在讨论 DEB 理论的原则，以及现有的 DEB 模型、可用的数据库以及在广泛物种和分类单元的化学品生态风险评估中的应用。还讨论了未来的展望，特别强调了正在进行的研究努力，以开发作为开放源代码工具的 DEB 模型，以进一步支持研究和监管界将定量生物学纳入生态毒理学风险评估。
