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arXiv 2610.10204physics.ao-phnlin.CDphysics.geo-ph

三维拉格朗日生态系统:碳动态与人工施肥的潜力

Three-dimensional Lagrangian ecosystems: carbon dynamics and potential for artificial fertilization

Stefano Campagnola, Stephanie Dutkiewicz, Michael J. Follows, Enrico Ser-Giacomi

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中文总结 AI 辅助

本研究提出一个理想化三维拉格朗日模型,模拟海洋斑块内生物量生产与碳动态,再现人工施肥实验模式,并揭示稀释、注入面积、辐散和扩散对碳吸收的影响,为海洋施肥策略评估提供定量工具。

中文摘要 AI 辅助

向海洋表层短暂供应营养物质,无论是自然的还是人工的,都会刺激浮游植物大量繁殖和有机物的形成,从而驱动海气梯度及CO$_2$的吸收。然而,量化相关的碳预算仍然具有挑战性,因为这需要追踪水团在被输送、拉伸和稀释过程中的耦合生物物理演化。在此,我们提出了一个理想化的三维模型,用于描述海洋中拉格朗日斑块内的生物量生产和碳动态。该框架再现了人工施肥实验中观测到的生物地球化学模式,并为局部碳预算提供了综合指标。利用大规模模拟集合,我们考察了斑块尺度初级生产和碳吸收对生物化学和物理因素的敏感性。结果表明,斑块稀释可以增强生态系统响应,并揭示了碳吸收对初始注入面积、水平辐散和垂直扩散率的敏感性。在气候减缓背景下对海洋施肥策略兴趣重燃的当下,我们的方法可以提供定量工具来评估其有效性和潜力。

英文摘要

Transient supplies of nutrients to the surface ocean, both natural and artificial, stimulate blooms of phytoplankton and the formation of organic matter, driving air-sea gradients and uptake of CO$_2$. However, quantifying the associated carbon budget remains challenging, as it requires tracking the coupled biophysical evolution of water masses while they are transported, stretched and diluted. Here, we present an idealized three-dimensional model that describes biomass production and carbon dynamics within a Lagrangian patch in the ocean. The framework reproduces observed biogeochemical patterns from an artificial fertilization experiment and provides integrated metrics for the local carbon budget. Utilizing large ensembles of simulations, we examine the sensitivity of patch-scale primary production and carbon uptake to biochemical and physical factors. Our results show that patch dilution can enhance the ecosystem response, and how carbon uptake is sensitive to initial injected area, horizontal divergence and vertical diffusivity. In the context of renewed interest in ocean fertilization strategies for climate mitigation, our approach can thus provide quantitative tools to assess their efficacy and potential.

发表机构

  • IFISC (CSIC-UIB), Institute for Cross-Disciplinary Physics and Complex Systems(IFISC(西班牙国家研究委员会-马略卡岛帕尔马大学),跨学科物理与复杂系统研究所)
  • Massachusetts Institute of Technology(麻省理工学院)

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