From concept to practice to policy: modeling coupled natural and human systems in lake catchments
From concept to practice to policy: modeling coupled natural and human systems in lake catchments
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DOI：
10.1002/ecs2.2209
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发表时间：
2018-05-01
期刊：
影响因子：
2.7
通讯作者：
Zhang, Yu
中科院分区：
文献类型：
--
作者：
Cobourn, Kelly M.;Carey, Cayelan C.;Zhang, Yu
最近关于美国《清洁水法》（Clean Water Act）适用范围的争论突显出，有必要建立一个强有力的科学研究体系，界定淡水系统与人类之间的联系。自然与人类耦合系统（CNHS）建模是一种可用于研究人类活动与生态系统过程之间复杂、相互联系的工具。发达的CNHS模型存在于概念层面，但在实践中，这些系统表示的映射在捕获这些反馈方面受到限制。本文提出了一种配对的概念-经验方法，用于从功能上捕捉淡水湖集水区人类和自然系统之间的反馈，从人类活动到生态系统，从生态系统返回到人类活动。我们解决了CNHS建模中存在的挑战，这些挑战来自学科方法、模型结构和时空分辨率的差异，以连接一套模型。在此过程中，我们创建了一个综合的、多学科的工具，可以捕获在多个尺度上运行的各种过程，包括土地管理决策、水文溶质运输、水生养分循环和公民参与。在本文中，我们以这一新颖的框架为基础，推进跨学科对话，以系统的方向推动CNHS湖泊集水区建模，并最终为明智的决策和政策提供基础。
Recent debate over the scope of the U.S. Clean Water Act underscores the need to develop a robust body of scientific work that defines the connectivity between freshwater systems and people. Coupled natural and human systems (CNHS) modeling is one tool that can be used to study the complex, reciprocal linkages between human actions and ecosystem processes. Well-developed CNHS models exist at a conceptual level, but the mapping of these system representations in practice is limited in capturing these feedbacks. This article presents a paired conceptual-empirical methodology for functionally capturing feedbacks between human and natural systems in freshwater lake catchments, from human actions to the ecosystem and from the ecosystem back to human actions. We address extant challenges in CNHS modeling, which arise from differences in disciplinary approach, model structure, and spatiotemporal resolution, to connect a suite of models. In doing so, we create an integrated, multi-disciplinary tool that captures diverse processes that operate at multiple scales, including land-management decision-making, hydrologic-solute transport, aquatic nutrient cycling, and civic engagement. In this article, we build on this novel framework to advance cross-disciplinary dialogue to move CNHS lake-catchment modeling in a systematic direction and, ultimately, provide a foundation for smart decision-making and policy.