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Zooplankton encounters in patchy particle distributions

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  • Cianelli, Daniela
  • Uttieri, Marco
  • Strickler, J. Rudi
  • Zambianchi, Enrico

Abstract

Zooplankton encounter rates are dependent not only on both sensory and swimming performances of the organisms, but also on the distribution pattern of food particles. Increasing evidences indicate that, in natural conditions, phytoplankton is often aggregated in thin layers. In the present contribution we investigate the concomitant effects of motion complexity and habitat fragmentation on the number of encounters realised by virtual continuously moving copepods adopting different motion strategies. Our simulated organisms move in an environment characterised by the presence of thin patches of phytoplankton, and their swim follows five motion rules (pure random walk, correlated random walk with three different time scales, self-avoiding random walk), each characterised by a typical value of the three-dimensional fractal dimension D3D. Compared to a uniform distribution, for a given motion rule the clustering of prey particles increases the variance of encounters, while no remarkable effect is reported in the average number of particles intercepted. These results broaden our understanding of the behavioural efficiency in freely swimming zooplankters and improve our knowledge of the functioning of aquatic systems.

Suggested Citation

  • Cianelli, Daniela & Uttieri, Marco & Strickler, J. Rudi & Zambianchi, Enrico, 2009. "Zooplankton encounters in patchy particle distributions," Ecological Modelling, Elsevier, vol. 220(5), pages 596-604.
  • Handle: RePEc:eee:ecomod:v:220:y:2009:i:5:p:596-604
    DOI: 10.1016/j.ecolmodel.2008.10.015
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    1. G. M. Viswanathan & Sergey V. Buldyrev & Shlomo Havlin & M. G. E. da Luz & E. P. Raposo & H. Eugene Stanley, 1999. "Optimizing the success of random searches," Nature, Nature, vol. 401(6756), pages 911-914, October.
    2. Saucier, Antoine & Soumis, François, 2006. "Fractal methods and the problem of estimating scaling exponents: A new approach based on upper and lower linear bounds," Chaos, Solitons & Fractals, Elsevier, vol. 28(5), pages 1337-1346.
    3. Nogués, J. & Costa-Krämer, J.L. & Rao, K.V., 1998. "Are random walks random?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 250(1), pages 327-334.
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