Simulation of seasonal variation of phytoplankton in the southern Huanghai (Yellow) Sea and analysis on its influential factors
Simulation of seasonal variation of phytoplankton in the southern Huanghai (Yellow) Sea and analysis on its influential factors
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DOI：
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发表时间：
2004
影响因子：
1.4
通讯作者：
Hu Hao-guo;Wan Zhen-wen;Yuan Ye-li
中科院分区：
文献类型：
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作者：
Hu Hao-guo;Wan Zhen-wen;Yuan Ye-li
利用一个三维物理 - 生物模型研究了南黄海浮游植物动态的年循环。物理模型是普林斯顿海洋模型（POM），生物模型涉及无机营养盐（氮、磷酸盐、硅酸盐）、浮游植物和食草性浮游动物生物量以及碎屑之间的相互作用。在已知物理强迫的情况下，该模型模拟了主要观测到的季节性特征，特别是浮游植物具有春季和秋季水华的年循环，以及夏季的次表层浮游植物最大层。结果表明，春季水华的开始严重依赖于水柱稳定性。它在对流混合过程减弱且表层季节性分层开始发展之前（4月上旬）就开始了。在5月至10月季节性温跃层形成时，混合层中的营养盐浓度低到足以限制南黄海中部的生产，而温跃层与真光层底部之间的水层提供了足够的光照和营养来支持次表层浮游植物的发育。秋季水华发生在9月至11月之间的某个时间，具体取决于环境条件。
The annual cycle of phytoplankton dynamics in the southern Huanghai Sea is studied by a three-dimensional physical-biological model. The physical model is Princeton ocean model (POM), the biological model involves interactions between the inorganic nutrients (nitrogen, phosphate, silicate), phytoplankton and herbivorous zooplankton biomass, and detritus. Given a knowledge of physical forcing, the model simulates main observed seasonal characteristic features, in particular, the annual cycle of phytoplankton with the spring and fall blooms, and the subsurface phytoplankton maximum layer in summer. Initiation of the spring bloom is shown to be critically dependent on the water column stability. It commences as soon as the convective mixing process weakens and before the seasonal stratification of surface begins to develop (in earlier April). At the time of establishment of the seasonal thermocline from May to October, the nutrient concentrations in the mixed layer are low enough to limit production in the center of the South Huanghai Sea, the layer between the thermocline and the base of the euphotic zone provides sufficient light and nutrients to support subsurface phytoplankton development. The fall bloom takes place sometime between September and November depending on environmental conditions.