用多种浮游生物功能类型模拟海洋生态系统动力学和生物地球化学循环

IF 4.6 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Jun Yu, Kristen M. Krumhardt, J. Keith Moore, Robert T. Letscher, Shanlin Wang, Nicola A. Wiseman, Matthew C. Long, Keith Lindsay, Michael Levy, Colleen M. Petrik, Adam C. Martiny
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引用次数: 0

摘要

目前在地球系统模型中海洋生态系统的表征被大大简化,忽略了动态食物网、生物地球化学和气候变化之间的关键相互作用。我们使用群落地球系统模型2.2.2中的海洋生物地球化学库代码库创建了一个扩展的生态系统模型,其中包含8个浮游植物类群和4个浮游动物大小类别(MARBL-8P4Z)。结合更具体的浮游生物类型和大小类别有可能捕获更广泛的生态系统可能的行为,它与生物地球化学的复杂相互作用,以及它对气候变化的反馈。它还允许更强的观测约束,包括原位群体特定生物量和浮游生物群落组成的各种观测估计。MARBL-8P4Z广泛捕获了观测到的浮游植物和浮游动物生物量和群落组成的全球尺度格局,在模拟广泛的生物地球化学领域具有良好的性能。该模型显示了与观测到的浮游植物生物量(原绿球藻、聚藻球菌、微真核生物)相似的空间格局和大小,并捕获了浮游动物生物量的季节循环。在低营养亚热带地区,浮游植物群和微型浮游动物群主导着生物量和产量,而在高纬度地区和上升流区内,纳米浮游植物、硅藻和大型浮游动物群占主导地位。该模型模拟了通过食物网合理的能量转移效率,在浮游植物群落组成、浮游动物放牧和碳输出之间有着紧密的联系,并有可能与渔业模型联系起来。因此,MARBL-8P4Z有可能解释浮游生物中关键的气候驱动生态变化,这些变化将改变未来的海洋生物地球化学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Simulating Marine Ecosystem Dynamics and Biogeochemical Cycling With Multiple Plankton Functional Types

Simulating Marine Ecosystem Dynamics and Biogeochemical Cycling With Multiple Plankton Functional Types

Current representations of marine ecosystems in Earth System Models are greatly simplified, neglecting key interactions between dynamic food webs, biogeochemistry, and climate change. We use the Marine Biogeochemistry Library code base within the Community Earth System Model 2.2.2 to create an expanded ecosystem model with eight phytoplankton groups and four zooplankton size classes (MARBL-8P4Z). Incorporating more specific plankton types and size classes has the potential to capture a wider range of possible behaviors of the ecosystem, its complex interactions with biogeochemistry, and its feedback to climate change. It also permits stronger observational constraints, including in situ group-specific biomass and various observational estimates of plankton community composition. MARBL-8P4Z broadly captures observed global-scale patterns in biomass and community composition for both phytoplankton and zooplankton, with a good performance in simulating broad biogeochemistry fields. The model shows comparable spatial patterns and magnitudes to the observed picophytoplankton biomass (Prochlorococcus, Synechococcus, picoeukaryotes), and captures the seasonal cycle of mesozooplankton biomass. Picophytoplankton groups and microzooplankton dominate biomass and production in oligotrophic, subtropical regions, while nano-phytoplankton, diatoms and the larger zooplankton groups prevail at higher latitudes and within upwelling zones. The model simulates reasonable energy transfer efficiency through the food web, with tight linkages between the phytoplankton community composition, zooplankton grazing, and carbon export, with the potential to link to fisheries models. Thus, MARBL-8P4Z has the potential to account for key climate-driven ecological shifts in the plankton that will modify ocean biogeochemistry in the future.

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来源期刊
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
11.40
自引率
11.80%
发文量
241
审稿时长
>12 weeks
期刊介绍: The Journal of Advances in Modeling Earth Systems (JAMES) is committed to advancing the science of Earth systems modeling by offering high-quality scientific research through online availability and open access licensing. JAMES invites authors and readers from the international Earth systems modeling community. Open access. Articles are available free of charge for everyone with Internet access to view and download. Formal peer review. Supplemental material, such as code samples, images, and visualizations, is published at no additional charge. No additional charge for color figures. Modest page charges to cover production costs. Articles published in high-quality full text PDF, HTML, and XML. Internal and external reference linking, DOI registration, and forward linking via CrossRef.
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