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Scaling of swimming sequences in copepod behavior: Data analysis and simulation

Author

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  • Schmitt, François G.
  • Seuront, Laurent
  • Hwang, Jiang-Shiou
  • Souissi, Sami
  • Tseng, Li-Chun

Abstract

We consider symbolic sequences of copepod behavior, classified as “break” and “slow swimming” states. Successive residence times for each state have been recorded for 327 symbolic times series obtained from 52 different trajectories. We performed a symbolic dynamics analysis of the succession of states and showed that the probability densities of the duration of each state obey power-laws for large times. We analyzed the transition between states and showed as expected, the non-Markovian properties of this dynamics. We further simulate a copepod trajectory using an alternate renewal process for the generation of the sequence time series, and using a Brownian motion for the copepod motion during swimming periods.

Suggested Citation

  • Schmitt, François G. & Seuront, Laurent & Hwang, Jiang-Shiou & Souissi, Sami & Tseng, Li-Chun, 2006. "Scaling of swimming sequences in copepod behavior: Data analysis and simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 287-296.
    • Handle: RePEc:eee:phsmap:v:364:y:2006:i:c:p:287-296
    DOI: 10.1016/j.physa.2005.09.041
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    Cited by:

    1. Kembro, Jackelyn M. & Flesia, Ana Georgina & Gleiser, Raquel M. & Perillo, María A. & Marin, Raul H., 2013. "Assessment of long-range correlation in animal behavior time series: The temporal pattern of locomotor activity of Japanese quail (Coturnix coturnix) and mosquito larva (Culex quinquefasciatus)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6400-6413.

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