Document Detail


Predicting oscillatory dynamics in the movement of territorial animals.
MedLine Citation:
PMID:  22262814     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Understanding ecological processes relies upon the knowledge of the dynamics of each individual component. In the context of animal population ecology, the way animals move and interact is of fundamental importance in explaining a variety of observed patterns. Here, we present a theoretical investigation on the movement dynamics of interacting scent-marking animals. We study how the movement statistics of territorial animals is responsible for the appearance of damped oscillations in the mean square displacement (MSD) of the animals. This non-monotonicity is shown to depend on one dimensionless parameter, given by the ratio of the correlation distance between successive steps to the size of the territory. As that parameter increases, the time dependence of the animal's MSD displays a transition from monotonic, characteristic of Brownian walks, to non-monotonic, characteristic of highly correlated walks. The results presented here represent a novel way of determining the degree of persistence in animal movement processes within confined regions.
Authors:
L Giuggioli; J R Potts; S Harris
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-01-19
Journal Detail:
Title:  Journal of the Royal Society, Interface / the Royal Society     Volume:  9     ISSN:  1742-5662     ISO Abbreviation:  J R Soc Interface     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-05-25     Completed Date:  2012-09-24     Revised Date:  2013-07-17    
Medline Journal Info:
Nlm Unique ID:  101217269     Medline TA:  J R Soc Interface     Country:  England    
Other Details:
Languages:  eng     Pagination:  1529-43     Citation Subset:  IM    
Affiliation:
Bristol Centre for Complexity Sciences, University of Bristol, Bristol, UK. luca.giuggioli@bristol.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Animals
Biological Clocks*
Locomotion*
Models, Biological*
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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