Analysis of self-overlap reveals trade-offs in plankton swimming trajectories

Patrizio Mariani, Andre W. Visser, Maria Grazia Mazzocchi, Simone Pigolotti, Giuseppe Bianco

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Movement is a fundamental behaviour of organisms that not only brings about beneficial encounters with resources and mates, but also at the same time exposes the organism to dangerous encounters with predators. The movement patterns adopted by organisms should reflect a balance between these contrasting processes. This trade-off can be hypothesized as being evident in the behaviour of plankton, which inhabit a dilute three-dimensional environment with few refuges or orienting landmarks. We present an analysis of the swimming path geometries based on a volumetric Monte Carlo sampling approach, which is particularly adept at revealing such trade-offs by measuring the self-overlap of the trajectories. Application of this method to experimentally measured trajectories reveals that swimming patterns in copepods are shaped to efficiently explore volumes at small scales, while achieving a large overlap at larger scales. Regularities in the observed trajectories make the transition between these two regimes always sharper than in randomized trajectories or as predicted by randomwalk theory. Thus, real trajectories present a stronger separation between exploration for food and exposure to predators. The specific scale and features of this transition depend on species, gender and local environmental conditions, pointing at adaptation to state and stage-dependent evolutionary trade-offs. © 2014 The Author(s) Published by the Royal Society. All rights reserved.
Original languageEnglish
Article number20140164
JournalJournal of the Royal Society Interface
Volume11
Issue number96
ISSN1742-5689
DOIs
Publication statusPublished - 2014

Keywords

  • Encounter rate
  • Prey-predator interaction
  • Searching strategy
  • Self-overlap
  • Zooplankton
  • Biology
  • Economic and social effects
  • Monte Carlo methods
  • Plankton
  • Environmental conditions
  • Monte Carlo sampling
  • Swimming trajectories
  • Three-dimensional environment
  • Trajectories
  • Research articles

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