Self-Organized Fish Schools: An Examination of Emergent Properties

@article{Parrish2002SelfOrganizedFS,
  title={Self-Organized Fish Schools: An Examination of Emergent Properties},
  author={Julia K. Parrish and Steven V. Viscido and Daniel Gr{\"u}nbaum},
  journal={The Biological Bulletin},
  year={2002},
  volume={202},
  pages={296 - 305}
}
Heterogeneous, “aggregated” patterns in the spatial distributions of individuals are almost universal across living organisms, from bacteria to higher vertebrates. Whereas specific features of aggregations are often visually striking to human eyes, a heuristic analysis based on human vision is usually not sufficient to answer fundamental questions about how and why organisms aggregate. What are the individual-level behavioral traits that give rise to these features? When qualitatively similar… 
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References

SHOWING 1-10 OF 46 REFERENCES
Complexity, pattern, and evolutionary trade-offs in animal aggregation.
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
Do Predators 'Shape' Fish Schools: Interactions Between Predators and Their Schooling Prey
TLDR
Whether safety accrues differentially among school members, and between school members and isolates, depends on: the size and shape of the school, the individual member's behaviour, the 'behaviour' of the group, and, most importantly, the relative frequency and abundance of each predator type.
The Dynamics of Herds: From Individuals to Aggregations
Abstract The dynamic behavior of small herds is investigated by means of simulations of two-dimensional discrete-stochastic models. An individual-based approach is used to relate collective behavior
SELFORGANIZATION OF FISH SCHOOLS : AN OBJECT-ORIENTED MODEL
Schooling as a strategy for taxis in a noisy environment
TLDR
Schooling behaviour can improve the ability of animals performing taxis to climb gradients, even under conditions when asocial taxis would be ineffective, and suggests an optimal level of schooling behaviour for given spatio-temporal scales of environmental variations.
An individual based model of fish school reactions: predicting antipredator behaviour as observed in nature
An object-orientated, two-dimensional, cellular automata (CA) model is developed to describe and predict the schooling behaviour of fish in general, with Norwegian spring-spawning herring, Clupea
MODELLING SOCIAL ANIMAL AGGREGATIONS
TLDR
This chapter reviews theoretical approaches to animal aggregation, concentrating on aggregations which are caused by social interactions, and emphasizes methods and limitations, and suggests what the authors think are the most promising avenues for future research.
Experimental and theoretical studies on schooling in fish. II. Internal dynamics of fish schools in relation to inter-fish distance.
Movies of schooling of Gnathopogon elongatus elongatus and small juvenile Mugil cephalus in a tandk were analyzed to examine the distance-dependent behavior which is a principle of the organiza-tion
Models for tuna school formation.
  • S. Stöcker
  • Environmental Science
    Mathematical biosciences
  • 1999
...
1
2
3
4
5
...