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A 3D Individual-Based Model to Study Effects of Chemotaxis, Competition and Diffusion on the Motile-Phytoplankton Aggregation

机译:基于3D个体的模型,用于研究趋化性,竞争和扩散对动机 - 浮游植物聚集的影响

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摘要

In this paper, we develop a 3D-individual-based model (IBM) to understand effect of various small-scale mechanisms in phytoplankton cells, on the cellular aggregation process. These mechanisms are: spatial interactions between cells due to their chemosensory abilities (chemotaxis), a molecular diffusion and a demographical process. The latter is considered as a branching process with a density-dependent death rate to take into account the local competition on resources. We implement the IBM and simulate various scenarios under real parameter values for phytoplankton cells. To quantify the effects of the different processes quoted above on the spatial and temporal distribution of phytoplankton, we used two spatial statistics: the Clark–Evans index and the group belonging percentage. Our simulation study highlights the role of the branching process with a weak-to-medium competition in reinforcing the aggregating structure that forms from attraction mechanisms (under suitable conditions for diffusion and attraction forces), and shows by contrast that aggregations cannot form when competition is high.
机译:在本文中,我们开发了一种基于3D个体的模型(IBM),以了解植物聚集过程中各种小规模机制的效果。这些机制是:由于其化学感受能力(趋化性),分子扩散和人口统计过程,细胞之间的空间相互作用。后者被视为具有密度依赖性死亡率的分支过程,以考虑到当地资源竞争。我们实现IBM并在Phytoplankton细胞的真实参数值下模拟各种场景。为了量化上面引用的不同过程的影响,我们使用了两种空间统计:克拉克evans指数和归属百分比的群体。我们的仿真研究突出了分支过程的作用,以加强从吸引机制(在扩散和吸引力的适当条件下)的骨弱势竞争中的作用,并以竞争而形成的聚集不能形成聚集高的。

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