Using an ecosystem model, we simulated the spatiotemporal distribution of phytoplankton and studied its spring bloom (SPB) in the South Yellow Sea, aiming to gain a comprehensive understanding of the physical-biological mechanism, in particular the role of wave-induced mixing in the SPB. By incorporating wave mixing into the model, patterns of the SPB are obtained that are consistent with observations. The significant bloom occurs in April, supported by favorable conditions of nutrients, temperature, transparency, solar radiation, and wind speed that favor rapid algal growth in the upper mixed water. The peak of the SPB typically occurs in mid to late April. Subsequently, phytoplankton biomass declines rapidly as nutrients are depleted in the upper water, leading to subsurface maxima. Wave-induced mixing delays the timing of the SPB, creating a more favorable environment that prolongs rapid algal growth and accumulation in the upper mixed water. Consequently, mixing enhances the SPB and increases phytoplankton standing stocks during spring. When modeling SPB in basin-scale seas, it is important not to overlook the role of wave-induced mixing.

中文翻译：

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波浪诱导混交对南黄海春季浮游植物大量繁殖的作用


利用生态系统模型，我们模拟了浮游植物的时空分布，并研究了其在南黄海的春花 （SPB），旨在全面了解其物理-生物机制，特别是波浪诱导混合在 SPB 中的作用。通过将波混入模型，可以获得与观测结果一致的 SPB 模式。显着的藻华发生在 4 月，这得益于营养物质、温度、透明度、太阳辐射和风速的有利条件，这些条件有利于藻类在上层混合水中快速生长。SPB 的高峰通常发生在 4 月中下旬。随后，随着上层水域营养物质的耗尽，浮游植物生物量迅速下降，导致地下最大值。波浪诱导的混合延迟了 SPB 的时间，创造了一个更有利的环境，延长了藻类在上层混合水中的快速生长和积累。因此，混合增强了 SPB 并增加了春季浮游植物的立木。在盆地规模的海域中模拟 SPB 时，重要的是不要忽视波浪诱导混合的作用。