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Signatures of chaos in animal search patterns

Authors: Reynolds, Andy M; Bartumeus, Frederic; Kölzsch, Andrea; van de Koppel, Johan;

Signatures of chaos in animal search patterns

Abstract

AbstractOne key objective of the emerging discipline of movement ecology is to link animal movement patterns to underlying biological processes, including those operating at the neurobiological level. Nonetheless, little is known about the physiological basis of animal movement patterns, and the underlying search behaviour. Here we demonstrate the hallmarks of chaotic dynamics in the movement patterns of mud snails (Hydrobia ulvae) moving in controlled experimental conditions, observed in the temporal dynamics of turning behaviour. Chaotic temporal dynamics are known to occur in pacemaker neurons in molluscs, but there have been no studies reporting on whether chaotic properties are manifest in the movement patterns of molluscs. Our results suggest that complex search patterns, like the Lévy walks made by mud snails, can have their mechanistic origins in chaotic neuronal processes. This possibility calls for new research on the coupling between neurobiology and motor properties.

Countries
Germany, Netherlands, Spain, United Kingdom
Keywords

DYNAMICS, Time Factors, Behavioural ecology, Snails, Models, Biological, Article, MOVEMENT, DISTRIBUTIONS, Animals, Ecosystem, info:eu-repo/classification/ddc/570, Neurons, RANDOM-WALKS, LEVY WALKS, FLIGHTS, Evolutionary theory, POWER SPECTRA, Feeding Behavior, DIFFUSION, international, INTERMITTENCY, ddc:570, BEHAVIOR, Algorithms, Locomotion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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31
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25
40
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