Literature DB >> 10204392

Models for tuna school formation.

S Stöcker1.   

Abstract

Schooling behavior is a challenging topic in the context of animal aggregation. It is also of economic importance for the estimation and conservation of stock sizes. An individual based movement model will be developed, taking into account energetic advantages of schooling. This model is a cellular automaton with a hexagonal grid. The latter considers the geometry of a school, where fish swim in a diamond-shape configuration in order to take advantage of the velocity, induced by the tail strokes of preceding fish. Furthermore, knowing the induced velocity field makes it possible to consider the energetic needs of fish swimming in that school and to describe the break up of schools due to oxygen depletion. This allows us to estimate maximum school sizes.

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Year:  1999        PMID: 10204392     DOI: 10.1016/s0025-5564(98)10065-2

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  7 in total

Review 1.  Biological factors underlying regularity and chaos in aquatic ecosystems: simple models of complex dynamics.

Authors:  A B Medvinsky; S V Petrovskii; D A Tikhonov; I A Tikhonova; G R Ivanitsky; H Malchow
Journal:  J Biosci       Date:  2001-03       Impact factor: 1.826

2.  Inherent noise can facilitate coherence in collective swarm motion.

Authors:  Christian A Yates; Radek Erban; Carlos Escudero; Iain D Couzin; Jerome Buhl; Ioannis G Kevrekidis; Philip K Maini; David J T Sumpter
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-31       Impact factor: 11.205

3.  Modeling Selective Local Interactions with Memory: Motion on a 2D Lattice.

Authors:  Daniel Weinberg; Doron Levy
Journal:  Physica D       Date:  2014-06-15       Impact factor: 2.300

Review 4.  The effect of hypoxia on fish schooling.

Authors:  Paolo Domenici; John F Steffensen; Stefano Marras
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-08-19       Impact factor: 6.237

5.  Switching dynamics in an interpersonal competition brings about "deadlock" synchronization of players.

Authors:  Akifumi Kijima; Koji Kadota; Keiko Yokoyama; Motoki Okumura; Hiroo Suzuki; R C Schmidt; Yuji Yamamoto
Journal:  PLoS One       Date:  2012-11-05       Impact factor: 3.240

6.  Individual preferences and social interactions determine the aggregation of woodlice.

Authors:  Cédric Devigne; Pierre Broly; Jean-Louis Deneubourg
Journal:  PLoS One       Date:  2011-02-25       Impact factor: 3.240

7.  Self-assemblage and quorum in the earthworm Eisenia fetida (Oligochaete, Lumbricidae).

Authors:  Lara Zirbes; Yves Brostaux; Mark Mescher; Maxime Jason; Eric Haubruge; Jean-Louis Deneubourg
Journal:  PLoS One       Date:  2012-03-01       Impact factor: 3.240

  7 in total

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