On the Role of Biogeochemical Coupling Between Sympagic and Pelagic Ecosystem Compartments for Primary and Secondary Production in the Barents Sea
On the Role of Biogeochemical Coupling Between Sympagic and Pelagic Ecosystem Compartments for Primary and Secondary Production in the Barents Sea
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DOI：
10.3389/fenvs.2020.548013
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发表时间：
2020-11-10
影响因子：
4.6
通讯作者：
Schrum, Corinna
中科院分区：
文献类型：
--
作者：
Benkort, Deborah;Daewel, Ute;Schrum, Corinna
北极海洋系统的初级生产主要来自浮游植物。此外，海冰藻类也在食物网动态中做出贡献并发挥重要作用。需要适当说明海冰藻类的物候及其与水层和海底系统的联系，以便更好地了解生态系统对冰盖变暖和缩小的反应。在这里，我们描述了扩展的地球化学模型ECOSMO II，包括一个symphagic系统的模型制定，说明在巴伦支海的实施。新的symagic系统配方包括四个营养物质（NO3，NH 4，PO 4，和SiO2），一个功能组的海冰藻类和一个碎屑池，并与海洋表层交换。我们研究了三个系统（symagic，远洋，底栖）之间的联系对生态系统动态的影响;冰藻对总初级生产力的贡献;以及冰覆盖的变化将如何影响低营养级北极食物网动态。为了解决与耦合相关的科学和技术挑战，该模型在通用海洋湍流模型（GOTM）的一维应用中实施。结果表明，该模型模拟的季节性模式的渐近组件现实相比，目前的知识巴伦支海。我们的研究结果表明，同向系统的影响的时间和幅度的中上层初级和次级生产力的水柱。我们还表明，海冰藻类生产导致浮游硅藻的播种和浮游动物生产的增强。最后，我们用这个模型解释了浮游动物和冰藻之间的相互作用是如何控制巴伦支海浮游初级生产力的。
Primary production in the Arctic marine system is principally due to pelagic phytoplankton. In addition, sea-ice algae also make a contribution and play an important role in food web dynamics. A proper representation of sea-ice algae phenology and the linkage with the pelagic and benthic systems is needed, so as to better understand the ecosystem response to warming and shrinking ice cover. Here we describe the extension of the biogeochemical model ECOSMO II to include a sympagic system in the model formulation, illustrated by implementation in the Barents Sea. The new sympagic system formulation includes four nutrients (NO3, NH4, PO4, and SiO2), one functional group for sea-ice algae and one detritus pool, and exchanges with the surface ocean layer. We investigated the effects of linkage between the three systems (sympagic, pelagic, and benthic) on the ecosystem dynamic; the contribution of the ice algae to total primary production; and how the changes in ice coverage will affect the lower trophic level Arctic food-web dynamics. To solve the scientific and technical challenges related to the coupling, the model was implemented in a 1D application of the General Ocean Turbulence Model (GOTM). Results showed that the model simulated the seasonal pattern of the sympagic components realistically when compared to the current knowledge of the Barents Sea. Our results show that the sympagic system influences the timing and the amplitude of the pelagic primary and secondary production in the water column. We also demonstrated that sea-ice algae production leads to seeding of pelagic diatoms and an enhancement of the zooplankton production. Finally, we used the model to explain how the interaction between zooplankton and ice algae can control the pelagic primary production in the Barents Sea.