Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, India.
School of Computing and Mathematical Sciences, University of Leicester, Leicester LE1 7RH, Leicester, UK.
J Math Biol. 2024 May 27;89(1):8. doi: 10.1007/s00285-024-02107-7.
Decline of the dissolved oxygen in the ocean is a growing concern, as it may eventually lead to global anoxia, an elevated mortality of marine fauna and even a mass extinction. Deoxygenation of the ocean often results in the formation of oxygen minimum zones (OMZ): large domains where the abundance of oxygen is much lower than that in the surrounding ocean environment. Factors and processes resulting in the OMZ formation remain controversial. We consider a conceptual model of coupled plankton-oxygen dynamics that, apart from the plankton growth and the oxygen production by phytoplankton, also accounts for the difference in the timescales for phyto- and zooplankton (making it a "slow-fast system") and for the implicit effect of upper trophic levels resulting in density dependent (nonlinear) zooplankton mortality. The model is investigated using a combination of analytical techniques and numerical simulations. The slow-fast system is decomposed into its slow and fast subsystems. The critical manifold of the slow-fast system and its stability is then studied by analyzing the bifurcation structure of the fast subsystem. We obtain the canard cycles of the slow-fast system for a range of parameter values. However, the system does not allow for persistent relaxation oscillations; instead, the blowup of the canard cycle results in plankton extinction and oxygen depletion. For the spatially explicit model, the earlier works in this direction did not take into account the density dependent mortality rate of the zooplankton, and thus could exhibit Turing pattern. However, the inclusion of the density dependent mortality into the system can lead to stationary Turing patterns. The dynamics of the system is then studied near the Turing bifurcation threshold. We further consider the effect of the self-movement of the zooplankton along with the turbulent mixing. We show that an initial non-uniform perturbation can lead to the formation of an OMZ, which then grows in size and spreads over space. For a sufficiently large timescale separation, the spread of the OMZ can result in global anoxia.
海洋中溶解氧的减少是一个日益严重的问题,因为它最终可能导致全球缺氧,海洋动物死亡率上升,甚至大规模灭绝。海洋脱氧通常会导致氧气最小区(OMZ)的形成:大量区域的氧气含量远低于周围海洋环境中的氧气含量。导致 OMZ 形成的因素和过程仍存在争议。我们考虑了一个浮游生物-氧气动力学的概念模型,除了浮游生物的生长和浮游植物的氧气产生之外,该模型还考虑了浮游植物和浮游动物之间的时间尺度差异(使其成为“慢-快系统”)以及上层营养级的隐含效应导致密度依赖(非线性)浮游动物死亡率。该模型使用分析技术和数值模拟的组合进行了研究。将慢-快系统分解为其慢和快子系统。然后通过分析快子系统的分岔结构来研究慢-快系统的临界流形及其稳定性。我们获得了一系列参数值下慢-快系统的鸭式周期。然而,该系统不允许持续的弛豫振荡;相反,鸭式周期的爆炸导致浮游生物灭绝和氧气耗尽。对于空间显式模型,该方向的早期工作没有考虑到浮游动物的密度依赖死亡率,因此可以表现出图灵模式。然而,将密度依赖死亡率纳入系统可能导致稳定的图灵模式。然后在图灵分岔阈值附近研究系统的动力学。我们进一步考虑了浮游动物自身运动与湍流混合的影响。我们表明,初始非均匀扰动可以导致 OMZ 的形成,然后 OMZ 的大小会增加并在空间中扩散。对于足够大的时间尺度分离,OMZ 的扩散可能导致全球缺氧。