Literature DB >> 16924431

Modeling vortex swarming in Daphnia.

Robert Mach1, Frank Schweitzer.   

Abstract

Based on experimental observations in Daphnia, we introduce an agent-based model for the motion of single and swarms of animals. Each agent is described by a stochastic equation that also considers the conditions for active biological motion. An environmental potential further reflects local conditions for Daphnia, such as attraction to light sources. This model is sufficient to describe the observed cycling behavior of single Daphnia. To simulate vortex swarming of many Daphnia, i.e. the collective rotation of the swarm in one direction, we extend the model by considering avoidance of collisions. Two different ansatzes to model such a behavior are developed and compared. By means of computer simulations of a multi-agent system we show that local avoidance - as a special form of asymmetric repulsion between animals - leads to the emergence of a vortex swarm. The transition from uncorrelated rotation of single agents to the vortex swarming as a function of the swarm size is investigated. Eventually, some evidence of avoidance behavior in Daphnia is provided by comparing experimental and simulation results for two animals.

Mesh:

Year:  2006        PMID: 16924431     DOI: 10.1007/s11538-006-9135-3

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  5 in total

1.  Walking motion of an overdamped active particle in a ratchet potential.

Authors:  Kong-Ju-Bock Lee; Chul Koo Kim; Myung-Hoon Chung
Journal:  J Biol Phys       Date:  2011-12-02       Impact factor: 1.365

2.  Tumor invasion optimization by mesenchymal-amoeboid heterogeneity.

Authors:  Inbal Hecht; Yasmin Bar-El; Frederic Balmer; Sari Natan; Ilan Tsarfaty; Frank Schweitzer; Eshel Ben-Jacob
Journal:  Sci Rep       Date:  2015-05-27       Impact factor: 4.379

3.  How random is social behaviour? Disentangling social complexity through the study of a wild house mouse population.

Authors:  Nicolas Perony; Claudio J Tessone; Barbara König; Frank Schweitzer
Journal:  PLoS Comput Biol       Date:  2012-11-29       Impact factor: 4.475

4.  The epidemics of donations: logistic growth and power-laws.

Authors:  Frank Schweitzer; Robert Mach
Journal:  PLoS One       Date:  2008-01-23       Impact factor: 3.240

5.  Individual-to-resource landscape interaction strength can explain different collective feeding behaviours.

Authors:  Nikolai W F Bode; Johann Delcourt
Journal:  PLoS One       Date:  2013-10-09       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.