Literature DB >> 12957117

Power-law versus exponential distributions of animal group sizes.

Hiro-Sato Niwa1.   

Abstract

There has been some confusion concerning the animal group size: an exponential distribution was deduced by maximizing the entropy; lognormal distributions were practically used; as power-law decay with exponent 3/2 was proposed in physical analogy to aerosol condensation. Here I show that the animal group-size distribution follows a power-law decay with exponent 1, and is truncated at a cut-off size which is the expected size of the groups an arbitrary individual engages in. An elementary model of animal aggregation based on binary splitting and coalescing on contingent encounter is presented. The model predicted size distribution holds for various data from pelagic fishes and mammalian herbivores in the wild.

Entities:  

Mesh:

Year:  2003        PMID: 12957117     DOI: 10.1016/s0022-5193(03)00192-9

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


  8 in total

1.  Self-phoretic active particles interacting by diffusiophoresis: A numerical study of the collapsed state and dynamic clustering.

Authors:  Oliver Pohl; Holger Stark
Journal:  Eur Phys J E Soft Matter       Date:  2015-08-31       Impact factor: 1.890

2.  Mutualism and evolutionary multiplayer games: revisiting the Red King.

Authors:  Chaitanya S Gokhale; Arne Traulsen
Journal:  Proc Biol Sci       Date:  2012-09-12       Impact factor: 5.349

3.  Understanding animal group-size distributions.

Authors:  Michael Griesser; Qi Ma; Simone Webber; Katharine Bowgen; David J T Sumpter
Journal:  PLoS One       Date:  2011-08-30       Impact factor: 3.240

4.  The entropic basis of collective behaviour.

Authors:  Richard P Mann; Roman Garnett
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

5.  Regulatory mechanisms of group distributions in a gregarious arthropod.

Authors:  Pierre Broly; Romain Mullier; Cédric Devigne; Jean-Louis Deneubourg
Journal:  R Soc Open Sci       Date:  2015-11-25       Impact factor: 2.963

6.  Statistical Analysis of Bus Networks in India.

Authors:  Atanu Chatterjee; Manju Manohar; Gitakrishnan Ramadurai
Journal:  PLoS One       Date:  2016-12-19       Impact factor: 3.240

7.  Strength-mass scaling law governs mass distribution inside honey bee swarms.

Authors:  Olga Shishkov; Claudia Chen; Claire Allison Madonna; Kaushik Jayaram; Orit Peleg
Journal:  Sci Rep       Date:  2022-10-17       Impact factor: 4.996

8.  Using activity and sociability to characterize collective motion.

Authors:  David J T Sumpter; Alex Szorkovszky; Alexander Kotrschal; Niclas Kolm; James E Herbert-Read
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-05-19       Impact factor: 6.237

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.