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Biological Effects-Based Tools for Monitoring Impacted Surface Waters in the Great Lakes: A Multiagency Program in Support of the Great Lakes Restoration Initiative

机译:基于生物效应的监测大湖受地表水影响的工具:一项支持大湖恢复倡议的多机构计划

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摘要

There is increasing demand for the implementation of effects-based monitoring and surveillance (EBMS) approaches in the Great Lakes Basin to complement traditional chemical monitoring. Herein, we describe an ongoing multiagency effort to develop and implement EBMS tools, particularly with regard to monitoring potentially toxic chemicals and assessing Areas of Concern (AOCs), as envisioned by the Great Lakes Restoration Initiative (GLRI). Our strategy includes use of both targeted and open-ended/discovery techniques, as appropriate to the amount of information available, to guide a priori end point and/or assay selection. Specifically, a combination of in vivo and in vitro tools is employed by using both wild and caged fish (in vivo), and a variety of receptor- and cell-based assays (in vitro). We employ a work flow that progressively emphasizes in vitro tools for long-term or high-intensity monitoring because of their greater practicality (e.g., lower cost, labor) and relying on in vivo assays for initial surveillance and verification. Our strategy takes advantage of the strengths of a diversity of tools, balancing the depth, breadth, and specificity of information they provide against their costs, transferability, and practicality. Finally, a series of illustrative scenarios is examined that align EBMS options with management goals to illustrate the adaptability and scaling of EBMS approaches and how they can be used in management decisions.
机译:在大湖流域实施基于效果的监测和监视(EBMS)方法以补充传统化学监测的需求日益增加。本文中,我们描述了正在进行的多机构努力,以开发和实施EBMS工具,特别是根据大湖区重建倡议(GLRI)的设想,尤其是在监测潜在有毒化学物质和评估关注区域(AOC)方面。我们的策略包括根据可用的信息量同时使用针对性和开放性/发现性技术,以指导先验终点和/或分析选择。具体而言,通过同时使用野生鱼和网箱鱼(体内)以及各种基于受体和细胞的分析(体外)来使用体内和体外工具的组合。我们采用的工作流程逐渐强调了用于长期或高强度监测的体外工具,因为它们具有更高的实用性(例如,较低的成本,劳动力),并且依赖于体内检测进行初始监测和验证。我们的策略利用了各种工具的优势,在其提供的信息的深度,广度和特异性与成本,可移植性和实用性之间取得了平衡。最后,研究了一系列说明性方案,这些方案使EBMS选项与管理目标保持一致,以说明EBMS方法的适应性和可扩展性以及如何将其用于管理决策。

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