NDLI: Lagrangian model of copepod dynamics: Clustering by escape jumps in turbulence

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Lagrangian model of copepod dynamics: Clustering by escape jumps in turbulence

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Lagrangian model of copepod dynamics: Clustering by escape jumps in turbulence

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Ardeshiri, H. Benkeddad, I. Schmitt, F. G. Souissi, S. Toschi, F. Calzavarini, E.
Description	Country affiliation: France Author Affiliation: Ardeshiri H ( Université de Lille, CNRS, FRE 3723, LML, Laboratoire de Mécanique de Lille, F 59000 Lille, France.); Benkeddad I ( Université de Lille, CNRS, Université de Littoral Cote d'Opale, UMR 8187, LOG, Laboratoire d'Océanologie et de Géoscience, F 62930 Wimereux, France.); Schmitt FG ( Université de Lille, CNRS, Université de Littoral Cote d'Opale, UMR 8187, LOG, Laboratoire d'Océanologie et de Géoscience, F 62930 Wimereux, France.); Souissi S ( Université de Lille, CNRS, Université de Littoral Cote d'Opale, UMR 8187, LOG, Laboratoire d'Océanologie et de Géoscience, F 62930 Wimereux, France.); Toschi F ( Université de Lille, CNRS, Université de Littoral Cote d'Opale, UMR 8187, LOG, Laboratoire d'Océanologie et de Géoscience, F 62930 Wimereux, France.); Calzavarini E ( Department of Applied Physics and Department of Mathematics and Computer Science, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands.)
Abstract	Planktonic copepods are small crustaceans that have the ability to swim by quick powerful jumps. Such an aptness is used to escape from high shear regions, which may be caused either by flow perturbations, produced by a large predator (i.e., fish larvae), or by the inherent highly turbulent dynamics of the ocean. Through a combined experimental and numerical study, we investigate the impact of jumping behavior on the small-scale patchiness of copepods in a turbulent environment. Recorded velocity tracks of copepods displaying escape response jumps in still water are here used to define and tune a Lagrangian copepod (LC) model. The model is further employed to simulate the behavior of thousands of copepods in a fully developed hydrodynamic turbulent flow obtained by direct numerical simulation of the Navier-Stokes equations. First, we show that the LC velocity statistics is in qualitative agreement with available experimental observations of copepods in turbulence. Second, we quantify the clustering of LC, via the fractal dimension $ D _{ 2 } $ . We show that $ D _{ 2 } $ can be as low as $ ∼ 2.3 $ and that it critically depends on the shear-rate sensitivity of the proposed LC model, in particular it exhibits a minimum in a narrow range of shear-rate values. We further investigate the effect of jump intensity, jump orientation, and geometrical aspect ratio of the copepods on the small-scale spatial distribution. At last, possible ecological implications of the observed clustering on encounter rates and mating success are discussed.
File Format	HTM / HTML
ISSN	24700045
e-ISSN	24700053
Journal	Physical Review E
Volume Number	93
Language	English
Publisher	American Physical Society
Publisher Date	2016-04-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Statistical and Nonlinear Physics many-body systems Condensed Matter Physics
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistical and Nonlinear Physics Condensed Matter Physics

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