Coastal generalized ecosystem model (CGEM) 1.0: Flexible model formulations for simulating complex biogeochemical processes in aquatic ecosystems

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Brandon M. Jarvis , John C. Lehrter , Lisa Lowe , Bradley Penta , Yongshan Wan , Melissa Duvall , Cody Simmons , Wilson Melendez , Dong S. Ko
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引用次数: 0

Abstract

The Coastal Generalized Ecosystem Model (CGEM) is a biogeochemical model developed to study regulating processes of water-column optical properties, water-column and benthic carbon, oxygen, and nutrient cycles, and phytoplankton and zooplankton dynamics. CGEM offers numerous formulations for important rate processes, providing users flexibility in altering model structure. This flexibility also provides a means for evaluating model structural uncertainty and impacts on simulations, which are rarely evaluated with numerical ecosystem models. As an open-source model, CGEM also offers users the option to implement new formulations or modify existing routines. We also provide a full description of the model formulations, state variables, and model parameters in CGEM. Using two published case studies, we explore how different formulations for light attenuation, phytoplankton temperature growth response, and sediment processes impact simulations. We discuss CGEM's role as a new ecosystem model within the modeling community and opportunities to address current and future water quality issues.

沿海广义生态系统模型 (CGEM) 1.0:用于模拟水生生态系统复杂生物地球化学过程的灵活模型公式
沿海广义生态系统模式(CGEM)是一种生物地球化学模式,用于研究水柱光学特性、水柱和底栖生物碳、氧和营养物质循环以及浮游植物和浮游动物动力学的调节过程。CGEM 为重要的速率过程提供了多种公式,使用户可以灵活地改变模型结构。这种灵活性还为评估模型结构的不确定性和对模拟的影响提供了一种手段,而数值生态系统模型很少评估这种不确定性和影响。作为一个开源模型,CGEM 还为用户提供了实施新公式或修改现有例程的选择。我们还全面介绍了 CGEM 中的模型公式、状态变量和模型参数。通过两个已发表的案例研究,我们探讨了光衰减、浮游植物温度生长响应和沉积物过程的不同公式对模拟的影响。我们讨论了 CGEM 作为建模界新生态系统模型的作用,以及解决当前和未来水质问题的机会。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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