Valenti Davide, Denaro Giovanni, Spagnolo Bernardo, Conversano Fabio, Brunet Christophe
Dipartimento di Fisica e Chimica, Università di Palermo, Group of Interdisciplinary Theoretical Physics and Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia, Unità di Palermo, Palermo, Italy.
Dipartimento di Fisica e Chimica, Università di Palermo, Group of Interdisciplinary Theoretical Physics and Consorzio Nazionale Interuniversitario per le Scienze Fisiche della Materia, Unità di Palermo, Palermo, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Catania, Catania, Italy; Radiophysics Department, Lobachevsky State University, Nizhniy Novgorod, Russia.
PLoS One. 2015 Jan 28;10(1):e0115468. doi: 10.1371/journal.pone.0115468. eCollection 2015.
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 marine pelagic ecosystems. Despite this, relevant physical and biological issues, such as effects of the time-dependent mixing in the upper layer, competition between groups, and dynamics of non-stationary deep chlorophyll maxima, are still open questions. In this work, we analyze the spatio-temporal behaviour of five 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 of environmental 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.
在过去几年中,理论研究为调节海洋浮游生态系统中浮游植物群落时空行为的机制带来了新的见解并提出了新的假设。尽管如此,一些相关的物理和生物学问题,如上层随时间变化的混合作用的影响、不同群体之间的竞争以及非稳态深层叶绿素最大值的动态变化,仍然是悬而未决的问题。在这项工作中,我们通过使用一维反应扩散趋化模型来分析一个真实海洋生态系统中五个浮游植物种群的时空行为。该研究考虑了环境变量的季节变化,如光照强度、上层混合层厚度和垂直湍流扩散率剖面,这些是从实验结果中获得的。浮游植物细胞浓度的理论分布被转换为叶绿素浓度,并与在第勒尼安海一个地点在一年的四个不同时间(季节)、四次不同海洋学巡航期间测量的实验剖面进行比较。结果我们发现叶绿素浓度的理论分布和实验分布之间有很好的一致性。特别是,理论结果表明环境变量的季节变化在浮游植物分布中起关键作用,并决定了深层叶绿素最大值的特性。鉴于制定防止初级生产力下降以及随之而来的鱼类物种减少的策略,这项研究可以扩展到其他海洋生态系统,以预测由于全球变暖导致的浮游植物生物量的未来变化。