Lu Wang, Jonathan Gula, Jérémy Collin, Laurent Mémery, Xiaolong Yu
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引用次数: 0
Abstract
A major pathway in the biological carbon pump is the gravitational sinking of organic particles from the sunlit ocean (0–200 m) to the deep ocean. Variability in particle fluxes measured by sediment traps is often attributed to variability in primary production in the surface ocean. However, particle fluxes are also influenced by physical processes such as mesoscale eddies and fronts. In this study, we assess the impact of upper-ocean dynamical structures on the variability of particle collection in the deep ocean. This is achieved by forward tracking the trajectories of 51.9 million virtual particles that were homogeneously released at a depth of 200 m with a constant sinking velocity of 50 m in the Northeast Atlantic basin. We found that, despite a homogeneous particle source without biological effects, purely dynamical changes can induce heterogeneity in particle density and origin at depth. The position of sediment traps can thus significantly influence the weekly to seasonal particle collection in the deep ocean. Additionally, we identify and characterize nine particle clusters using a machine-learning approach. The results show that the seasonality of particle collection at depth can be induced by seasonal variations in upper-ocean flow structures. Clusters associated with eddy and frontal structures are found to intermittently contribute more than 50% of the particle amount during winter and spring, with smaller secondary peaks in the summer months. This study highlights the connection between mesoscale ocean dynamics and the spatio-temporal pattern of conservative (non-biological) particle collection in the deep ocean.
生物碳泵的一个主要途径是有机颗粒从阳光照射的海洋(0-200米)重力下沉到深海。沉积物捕集器测量的颗粒通量的变异性通常归因于海洋表面初级产量的变异性。然而,粒子通量也受到诸如中尺度涡旋和锋面等物理过程的影响。在这项研究中,我们评估了上层海洋动力结构对深海颗粒收集变异性的影响。这是通过正向跟踪5190万个虚拟粒子的轨迹来实现的,这些粒子以50 m d -1 ${\ mathm {d}}}^{-1}$的恒定下沉速度在东北大西洋盆地的200 m深度均匀释放。我们发现,尽管没有生物效应的粒子源是均匀的,但纯粹的动力学变化可以引起粒子密度和深度起源的异质性。因此,沉积物圈闭的位置可以显著地影响深海每周到季节性的颗粒收集。此外,我们使用机器学习方法识别和表征九个粒子簇。结果表明,海洋上层流结构的季节性变化可以诱导深度颗粒收集的季节性。在冬季和春季,与涡旋和锋面结构相关的团簇间歇性地贡献了50%以上的颗粒量,夏季的次峰较小。这项研究强调了中尺度海洋动力学与深海保守(非生物)粒子收集的时空格局之间的联系。