Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractVacuum-packed ripened sausages: evolution of volatile compounds during storage    Next Abstract"Primary evaluation of nine volatile N-nitrosamines in raw red meat from Tianjin, China, by HS-SPME-GC-MS" »

Philos Trans R Soc Lond B Biol Sci


Title:The principles of collective animal behaviour
Author(s):Sumpter DJ;
Address:"Department of zoology, South Parks Road, Oxford, OX1 3PS, UK. david.sumpter@zoo.ox.ac.uk"
Journal Title:Philos Trans R Soc Lond B Biol Sci
Year:2006
Volume:361
Issue:1465
Page Number:5 - 22
DOI: 10.1098/rstb.2005.1733
ISSN/ISBN:0962-8436 (Print) 1471-2970 (Electronic) 0962-8436 (Linking)
Abstract:"In recent years, the concept of self-organization has been used to understand collective behaviour of animals. The central tenet of self-organization is that simple repeated interactions between individuals can produce complex adaptive patterns at the level of the group. Inspiration comes from patterns seen in physical systems, such as spiralling chemical waves, which arise without complexity at the level of the individual units of which the system is composed. The suggestion is that biological structures such as termite mounds, ant trail networks and even human crowds can be explained in terms of repeated interactions between the animals and their environment, without invoking individual complexity. Here, I review cases in which the self-organization approach has been successful in explaining collective behaviour of animal groups and societies. Ant pheromone trail networks, aggregation of cockroaches, the applause of opera audiences and the migration of fish schools have all been accurately described in terms of individuals following simple sets of rules. Unlike the simple units composing physical systems, however, animals are themselves complex entities, and other examples of collective behaviour, such as honey bee foraging with its myriad of dance signals and behavioural cues, cannot be fully understood in terms of simple individuals alone. I argue that the key to understanding collective behaviour lies in identifying the principles of the behavioural algorithms followed by individual animals and of how information flows between the animals. These principles, such as positive feedback, response thresholds and individual integrity, are repeatedly observed in very different animal societies. The future of collective behaviour research lies in classifying these principles, establishing the properties they produce at a group level and asking why they have evolved in so many different and distinct natural systems. Ultimately, this research could inform not only our understanding of animal societies, but also the principles by which we organize our own society"
Keywords:"Animals *Behavior, Animal Humans *Social Behavior;"
Notes:"MedlineSumpter, D J T eng Research Support, Non-U.S. Gov't Review England 2006/03/24 Philos Trans R Soc Lond B Biol Sci. 2006 Jan 29; 361(1465):5-22. doi: 10.1098/rstb.2005.1733"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 22-11-2024