Literature DB >> 14615202

A model of animal movements in a bounded space.

Raphaël Jeanson1, Stéphane Blanco, Richard Fournier, Jean Louis Deneubourg, Vincent Fourcassié, Guy Theraulaz.   

Abstract

Most studies describing animal movements have been developed in the framework of population dispersion or population dynamics, and have mainly focused on movements in open spaces. During their trips, however, animals are likely to encounter physical heterogeneities that guide their movements and, as a result, influence their spatial distribution. In this paper, we develop a statistical model of individual movement in a bounded space. We introduced cockroaches in a circular arena and quantified accurately the behaviors underlying their movement in a finite space. Close to the edges, we considered that the animals exhibit a linear movement mode with a constant probability per unit time to leave the edge and enter the central zone of the arena. Far from the walls cockroaches were assumed to move according to a diffusive random walk which enabled us to overcome the inherent problem of the quantification of the turning angle distribution. A numerical model implementing the behavioral rules derived from our experiments, confirms that the pattern of the spatial distribution of animals observed can be reliably accounted for by wall-following behaviors combined with a diffusive random walk. The approach developed in this study can be applied to model the movements of animals in various environment under consideration of spatial structure.

Mesh:

Year:  2003        PMID: 14615202     DOI: 10.1016/s0022-5193(03)00277-7

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  16 in total

1.  Active wall following by Mexican blind cavefish (Astyanax mexicanus).

Authors:  Paul Patton; Shane Windsor; Sheryl Coombs
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2010-08-21       Impact factor: 1.836

2.  Amplification of individual preferences in a social context: the case of wall-following in ants.

Authors:  Audrey Dussutour; Jean-Louis Deneubourg; Vincent Fourcassié
Journal:  Proc Biol Sci       Date:  2005-04-07       Impact factor: 5.349

Review 3.  From behavioural analyses to models of collective motion in fish schools.

Authors:  Ugo Lopez; Jacques Gautrais; Iain D Couzin; Guy Theraulaz
Journal:  Interface Focus       Date:  2012-10-03       Impact factor: 3.906

4.  Do blind cavefish have behavioral specializations for active flow-sensing?

Authors:  Delfinn Tan; Paul Patton; Sheryl Coombs
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2011-03-23       Impact factor: 1.836

5.  Resource distribution and internal factors interact to govern movement of a freshwater snail.

Authors:  Carl S Cloyed; Anthony I Dell
Journal:  Proc Biol Sci       Date:  2019-09-25       Impact factor: 5.349

6.  Wall following in Xenopus laevis is barrier-driven.

Authors:  Sara Hänzi; Hans Straka
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2017-11-08       Impact factor: 1.836

7.  Analyzing fish movement as a persistent turning walker.

Authors:  Jacques Gautrais; Christian Jost; Marc Soria; Alexandre Campo; Sébastien Motsch; Richard Fournier; Stéphane Blanco; Guy Theraulaz
Journal:  J Math Biol       Date:  2008-06-28       Impact factor: 2.259

8.  The function of wall-following behaviors in the Mexican blind cavefish and a sighted relative, the Mexican tetra (Astyanax).

Authors:  Saurabh Sharma; Sheryl Coombs; Paul Patton; Theresa Burt de Perera
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-12-18       Impact factor: 1.836

9.  Individual based and mean-field modeling of direct aggregation.

Authors:  Martin Burger; Jan Haškovec; Marie-Therese Wolfram
Journal:  Physica D       Date:  2013-10-01       Impact factor: 2.300

10.  The effect of changing topography on the coordinated marching of locust nymphs.

Authors:  Guy Amichay; Gil Ariel; Amir Ayali
Journal:  PeerJ       Date:  2016-12-13       Impact factor: 2.984

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