Literature DB >> 10102827

Complexity, pattern, and evolutionary trade-offs in animal aggregation.

J K Parrish1, L Edelstein-Keshet.   

Abstract

One of the most striking patterns in biology is the formation of animal aggregations. Classically, aggregation has been viewed as an evolutionarily advantageous state, in which members derive the benefits of protection, mate choice, and centralized information, balanced by the costs of limiting resources. Consisting of individual members, aggregations nevertheless function as an integrated whole, displaying a complex set of behaviors not possible at the level of the individual organism. Complexity theory indicates that large populations of units can self-organize into aggregations that generate pattern, store information, and engage in collective decision-making. This begs the question, are all emergent properties of animal aggregations functional or are some simply pattern? Solutions to this dilemma will necessitate a closer marriage of theoretical and modeling studies linked to empirical work addressing the choices, and trajectories, of individuals constrained by membership in the group.

Mesh:

Year:  1999        PMID: 10102827     DOI: 10.1126/science.284.5411.99

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  171 in total

1.  Fire ants self-assemble into waterproof rafts to survive floods.

Authors:  Nathan J Mlot; Craig A Tovey; David L Hu
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-25       Impact factor: 11.205

2.  Mutual interactions, potentials, and individual distance in a social aggregation.

Authors:  A Mogilner; L Edelstein-Keshet; L Bent; A Spiros
Journal:  J Math Biol       Date:  2003-05-15       Impact factor: 2.259

3.  Spatial patterns in ant colonies.

Authors:  Guy Theraulaz; Eric Bonabeau; Stamatios C Nicolis; Ricard V Solé; Vincent Fourcassié; Stéphane Blanco; Richard Fournier; Jean-Louis Joly; Pau Fernández; Anne Grimal; Patrice Dalle; Jean-Louis Deneubourg
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-11       Impact factor: 11.205

4.  Collective decision through self-assembling.

Authors:  Arnaud Lioni; Jean-Louis Deneubourg
Journal:  Naturwissenschaften       Date:  2004-04-08

5.  Cellular self-organization by autocatalytic alignment feedback.

Authors:  Michael Junkin; Siu Ling Leung; Samantha Whitman; Carol C Gregorio; Pak Kin Wong
Journal:  J Cell Sci       Date:  2011-12-22       Impact factor: 5.285

6.  Noise, Bifurcations, and Modeling of Interacting Particle Systems.

Authors:  Luis Mier-Y-Teran-Romero; Eric Forgoston; Ira B Schwartz
Journal:  Rep U S       Date:  2011

7.  Macroscopic behavior of systems with an axial dynamic preferred direction.

Authors:  H R Brand; H Pleiner; D Svenšek
Journal:  Eur Phys J E Soft Matter       Date:  2011-11-28       Impact factor: 1.890

8.  Cytoskeletal organization: whirling to the beat.

Authors:  William O Hancock
Journal:  Curr Biol       Date:  2012-06-19       Impact factor: 10.834

9.  Limited interactions in flocks: relating model simulations to empirical data.

Authors:  Nikolai W F Bode; Daniel W Franks; A Jamie Wood
Journal:  J R Soc Interface       Date:  2010-09-08       Impact factor: 4.118

10.  Behavioral and energetic costs of group membership in a coral reef fish.

Authors:  J Wilson White; Robert R Warner
Journal:  Oecologia       Date:  2007-08-23       Impact factor: 3.225

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