%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Bouderbala, I.
%A El Saadi, N.
%A Bah, A.
%A Auger, Pierre
%T A 3D individual-based model to study effects of chemotaxis, competition and diffusion on the motile-phytoplankton aggregation
%D 2018
%L fdi:010074400
%G ENG
%J Acta Biotheoretica
%@ 0001-5342
%K Individual-based model ; Phytoplankton aggregation ; Density-dependent ; mortality model ; Chemosensory ability ; Simulation ; Nearest-neighbor index ; Group belonging percentage
%M ISI:000449962200002
%N 4
%P 257-278
%R 10.1007/s10441-018-9318-y
%U https://www.documentation.ird.fr/hor/fdi:010074400
%> https://www.documentation.ird.fr/intranet/publi/2018/11/010074400.pdf
%V 66
%W Horizon (IRD)
%X 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.
%$ 020 ; 036