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How diffusivity, thermocline and incident light intensity modulate the dynamics of Deep Chlorophyll Maximum in Tyrrhenian Sea

机译:扩散,温跃线和入射光强度如何调节第勒尼安海深层叶绿素最大值的动力学

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摘要

During the last few years theoretical works have shed new light and proposed new hypotheses on the mechanisms which regulate the spatio-temporal behaviour of phytoplankton communities in marineudpelagic ecosystems. Despite this, relevant physical and biological issues, such as effects of the time-uddependent mixing in the upper layer, competition between groups, and dynamics of non-stationary deepudchlorophyll maxima, are still open questions. In this work, we analyze the spatio-temporal behaviour ofudfive phytoplankton populations in a real marine ecosystem by using a one-dimensional reaction-diffusion-taxis model. The study is performed, taking into account the seasonal variations of environmental variables, such as light intensity, thickness of upper mixed layer and profiles of vertical turbulent diffusivity, obtained starting from experimental findings. Theoretical distributions of phytoplankton cell concentration was converted in chlorophyll concentration, and compared with the experimental profiles measured in a site of the Tyrrhenian Sea at four different times (seasons) of the year, during four different oceanographic cruises. As a result we find a good agreement between theoretical and experimental distributions of chlorophyll concentration. In particular, theoretical results reveal that the seasonal changes ofudenvironmental variables play a key role in the phytoplankton distribution and determine the properties of the deep chlorophyll maximum. This study could be extended to other marine ecosystems to predict future changes in the phytoplankton biomass due to global warming, in view of devising strategies to prevent the decline of the primary production and the consequent decrease of fish species.
机译:在过去的几年中,理论研究为调节海洋上层带生态系统中浮游植物群落的时空行为机理提供了新的思路,并提出了新的假设。尽管如此,相关的物理和生物学问题,如上层中时间依赖性的影响,群体之间的竞争以及非平稳的深层/叶绿素最大值的动态,仍是未解决的问题。在这项工作中,我们使用一维反应-扩散-出租车模型分析了一个真实的海洋生态系统中 d五个浮游植物种群的时空行为。进行这项研究时要考虑到环境变量的季节性变化,例如根据实验结果获得的光强度,上混合层的厚度以及垂直湍流扩散率的分布。浮游植物细胞浓度的理论分布转换为叶绿素浓度,并与一年中的四个不同时间(季节)在第四次海洋航行期间在第勒尼安海站点测得的实验曲线进行了比较。结果,我们在叶绿素浓度的理论和实验分布之间找到了很好的一致性。特别是,理论结果表明,环境变量的季节性变化在浮游植物的分布中起着关键作用,并决定了深层叶绿素最大值的性质。这项研究可扩展到其他海洋生态系统,以预测由于全球变暖而导致的浮游植物生物量的未来变化,以期制定防止初级产量下降和由此造成的鱼类数量减少的战略。

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