10.5061/DRYAD.KT3109V7
Bode, Nikolai W. F.
University of York
Princeton University
Franks, Daniel W.
University of York
Wood, A. Jamie
University of York
Piercy, Julius J. B.
University of Essex
Croft, Darren P.
University of Exeter
Codling, Edward A.
University of Essex
Data from: Distinguishing social from nonsocial navigation in moving
animal groups
Dryad
dataset
2012
Behavior: social
Social structure
Poecilia reticulata
Modeling: ecological
Modeling: individual based
Ecology: behavioral
2012-01-10T19:55:25Z
2012-01-10T19:55:25Z
en
https://doi.org/10.1086/665005
198244 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Many animals, such as migrating shoals of fish, navigate in groups.
Knowing the mechanisms involved in animal navigation is important when it
comes to explaining navigation accuracy, dispersal patterns, population
and evolutionary dynamics and consequently the design of conservation
strategies. When navigating towards a common target, animals could
interact socially by sharing available information directly or indirectly,
or each individual could navigate by itself and aggregations may not
disperse because all animals are moving towards the same target. Here, we
present an analysis technique that uses individual movement trajectories
to determine the extent to which individuals in navigating groups interact
socially, given knowledge of their target. The basic idea of our approach
is that the movement direction of individuals arises from a combination of
responses to the environment and to other individuals. We estimate the
relative importance of these responses, distinguishing between social and
non-social interactions. We develop and test our method using simulated
groups and demonstrate its applicability to empirical data in a case study
on groups of guppies moving towards shelter in a tank. Our approach is
generic and can be extended to different scenarios of animal group
movement.
data