A framework for understanding the architecture of collective movements using pairwise analyses of animal movement data.
The study of collective or group-level movement patterns can provide insight regarding the socio-ecological interface, the evolution of self-organization and mechanisms of inter-individual information exchange. The suite of drivers influencing coordinated movement trajectories occur across scales, resulting from regular annual, seasonal and circadian stimuli and irregular intra- or interspecific interactions and environmental encounters acting on individuals. Here, we promote a conceptual framework with an associated statistical machinery to quantify the type and degree of synchrony, spanning absence to complete, in pairwise movements. The application of this framework offers a foundation for detailed understanding of collective movement patterns and causes. We emphasize the use of Fourier and wavelet approaches of measuring pairwise movement properties and illustrate them with simulations that contain different types of complexity in individual movement, correlation in movement stochasticity, and transience in movement relatedness. Application of this framework to movements of free-ranging African elephants (Loxodonta africana) provides unique insight on the separate roles of sociality and ecology in the fission-fusion society of these animals, quantitatively characterizing the types of bonding that occur at different levels of social relatedness in a movement context. We conclude with a discussion about expanding this framework to the context of larger (greater than three) groups towards understanding broader population and interspecific collective movement patterns and their mechanisms.
Polansky
Leo
L
Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO 80523-1474, USA. leopolansky@gmail.com
Wittemyer
George
G
D000818:Animals; D001522:Behavior, Animal / Q000502:physiology*; D008954:Models, Biological; D009068:Movement / Q000502:physiology*; D012919:Social Behavior
Proc Natl Acad Sci U S A. 2008 Dec 9;105(49):19052-9
19060196
Ecology. 2007 Jul;88(7):1864-70
17645033
Proc Natl Acad Sci U S A. 2008 Dec 9;105(49):19108-13
19060207
Ecology. 2008 Dec;89(12):3336-48
19137941
Nature. 2007 Oct 25;449(7165):1044-8
17960243
Oecologia. 2008 May;156(2):287-304
18322705
Neuroimage. 2008 Mar 1;40(1):174-86
18158254
Proc Natl Acad Sci U S A. 2008 Dec 9;105(49):19066-71
19060192
Science. 1999 Apr 2;284(5411):99-101
10102827
Nature. 2005 Feb 3;433(7025):513-6
15690039
Oecologia. 1999 Oct;121(1):123-128
28307881
Ecol Lett. 2009 May;12(5):395-408
19379134
Ecology. 2010 May;91(5):1506-18
20503882
Proc Natl Acad Sci U S A. 2009 Apr 7;106(14):5464-9
19336580
Ecology. 2009 Dec;90(12):3546-53
20120821
J R Soc Interface. 2008 Aug 6;5(25):813-34
18426776
Biol Bull. 2002 Jun;202(3):296-305
12087003
J Theor Biol. 2005 Apr 21;233(4):573-88
15748917
Ecology. 2009 Dec;90(12):3536-45
20120820
Trends Ecol Evol. 2008 Feb;23(2):87-94
18191283