Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models
Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models
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DOI：
10.1111/j.1365-2486.2005.1004.x
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发表时间：
2005-11
影响因子：
11.6
通讯作者：
Corinne Le Quéré;S. Harrison;I. Colin Prentice;E. Buitenhuis;O. Aumont;L. Bopp;H. Claustre;Letícia Cotrim da Cunha;R. Geider;X. Giraud;C. Klaas;K. Kohfeld;L. Legendre;M. Manizza;T. Platt;R. Rivkin;S. Sathyendranath;J. Uitz;A. Watson;D. Wolf-Gladrow
中科院分区：
文献类型：
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作者：
Corinne Le Quéré;S. Harrison;I. Colin Prentice;E. Buitenhuis;O. Aumont;L. Bopp;H. Claustre;Letícia Cotrim da Cunha;R. Geider;X. Giraud;C. Klaas;K. Kohfeld;L. Legendre;M. Manizza;T. Platt;R. Rivkin;S. Sathyendranath;J. Uitz;A. Watson;D. Wolf-Gladrow
生态系统过程是海洋生物地球化学的重要决定因素，它们可能受到气候变化的深刻影响。海洋模型目前通过经验得出的参数化来表达生态系统过程，这些参数化将关键的地球化学示踪剂与海洋物理学紧密联系起来。在模型中明确纳入生态系统过程将使我们能够考虑到生态变化，并使我们能够解决几个重要问题，包括观测到的冰川间冰期大气微量气体和气溶胶变化的原因，以及未来海洋对二氧化碳的吸收可能如何变化。迫切需要评估我们对控制海洋生态系统的环境因素的机械理解，并基于理论理解来表示其自然复杂性。我们提出了动态绿色海洋模型（DGOM）的原型设计，该模型基于对（a）需要明确模拟以捕获海洋中重要的生物地球化学过程的关键浮游生物功能类型的识别； (b) 控制这些功能类型的生长和死亡及其相互作用的关键过程； (c) 在建模框架内对每个过程进行参数化所需的信息来源。我们还基于对过去和现在的平均状态和变异性的模拟，制定模型评估策略，并确定每个模型验证数据的潜在来源。最后，我们提出了一种基于 DGOM 的策略来解决海洋生物地球化学中的关键问题。因此，本文介绍了海洋生物地球化学建模方面正在进行的工作，希望这将激励国际合作，以增进我们对海洋在气候系统中的作用的理解。
Ecosystem processes are important determinants of the biogeochemistry of the ocean, and they can be profoundly affected by changes in climate. Ocean models currently express ecosystem processes through empirically derived parameterizations that tightly link key geochemical tracers to ocean physics. The explicit inclusion of ecosystem processes in models will permit ecological changes to be taken into account, and will allow us to address several important questions, including the causes of observed glacial–interglacial changes in atmospheric trace gases and aerosols, and how the oceanic uptake of CO2 is likely to change in the future. There is an urgent need to assess our mechanistic understanding of the environmental factors that exert control over marine ecosystems, and to represent their natural complexity based on theoretical understanding. We present a prototype design for a Dynamic Green Ocean Model (DGOM) based on the identification of (a) key plankton functional types that need to be simulated explicitly to capture important biogeochemical processes in the ocean; (b) key processes controlling the growth and mortality of these functional types and hence their interactions; and (c) sources of information necessary to parameterize each of these processes within a modeling framework. We also develop a strategy for model evaluation, based on simulation of both past and present mean state and variability, and identify potential sources of validation data for each. Finally, we present a DGOM‐based strategy for addressing key questions in ocean biogeochemistry. This paper thus presents ongoing work in ocean biogeochemical modeling, which, it is hoped will motivate international collaborations to improve our understanding of the role of the ocean in the climate system.