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Aquatic ecosystem metabolism as a tool in environmental management

机译:水生生态系统代谢作为环境管理的工具

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摘要

Abstract Recent advances in high‐frequency environmental sensing and statistical approaches have greatly expanded the breadth of knowledge regarding aquatic ecosystem metabolism—the measurement and interpretation of gross primary productivity (GPP) and ecosystem respiration (ER). Aquatic scientists are poised to take advantage of widely available datasets and freely‐available modeling tools to apply functional information gained through ecosystem metabolism to help inform environmental management. Historically, several logistical and conceptual factors have limited the widespread application of metabolism in management settings. Benefitting from new instrumental and modeling tools, it is now relatively straightforward to extend routine monitoring of dissolved oxygen (DO) to dynamic measures of aquatic ecosystem function (GPP and ER) and key physical processes such as gas exchange with the atmosphere (G). We review the current approaches for using DO data in environmental management with a focus on the United States, but briefly describe management frameworks in Europe and Canada. We highlight new applications of diel DO data and metabolism in regulatory settings and explore how they can be applied to managing and monitoring ecosystems. We then review existing data types and provide a short guide for implementing field measurements and modeling of ecosystem metabolic processes using currently available tools. Finally, we discuss research needed to overcome current conceptual limitations of applying metabolism in management settings. Despite challenges associated with modeling metabolism in rivers and lakes, rapid developments in this field have moved us closer to utilizing real‐time estimates of GPP, ER, and G to improve the assessment and management of environmental change. This article is categorized under: Water and Life > Nature of Freshwater Ecosystems Water and Life > Conservation, Management, and Awareness
机译:高频环境感应和统计方法的摘要最新进展极大地扩展了有关水生生态系统代谢的知识广度,即总生产力(GPP)(GPP)和生态系统呼吸(ER)的测量和解释(ER)。水上科学家有望利用广泛可用的数据集和可自由开放的建模工具,以应用生态系统代谢获得的功能信息,以帮助为环境管理提供信息。从历史上看,几个后勤和概念因素限制了代谢在管理环境中的广泛应用。从新的工具和建模工具中受益,现在相对简单地将溶解氧(DO)的常规监测扩展到水生生态系统功能(GPP和ER)的动态度量以及与大气(G)的气体交换等关键物理过程(G)。我们回顾了当前在环境管理中使用DO数据的方法,重点是美国,但简要描述了欧洲和加拿大的管理框架。我们重点介绍了DIEL在监管环境中进行数据和代谢的新应用程序,并探索如何将它们应用于管理和监视生态系统。然后,我们查看现有的数据类型,并提供简短的指南,以实施现场测量和使用当前可用工具对生态系统代谢过程进行建模。最后,我们讨论了需要克服当前在管理环境中应用新陈代谢的概念局限性所需的研究。尽管与建模河流和湖泊的新陈代谢相关的挑战,但该领域的快速发展使我们更接近利用GPP,ER和G的实时估计来改善环境变化的评估和管理。本文分类为:水与生命>淡水生态系统的性质水和生命>保护,管理和意识

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