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GPS locations for mechanistic home range analysis reveals drivers of space use patterns for a non-territorial passerine

Citation

Ellison, Natasha et al. (2020), GPS locations for mechanistic home range analysis reveals drivers of space use patterns for a non-territorial passerine, Dryad, Dataset, https://doi.org/10.5061/dryad.fqz612jqj

Abstract

1. Home ranging is a near-ubiquitous phenomenon in the animal kingdom.  Understanding the behavioural mechanisms that give rise to observed home range patterns is thus an important general question, and mechanistic home range analysis (MHRA) provides the tools to address it.  However, such analysis has hitherto been restricted to scent-marking territorial animals, so its potential breadth of application has not been tested.

2. Here, we apply MHRA to a population of long-tailed tits Aegithalos caudatus a non- territorial passerine, in the non-breeding season where there is no clear "central place" near which birds need to remain.  The aim is to uncover the principal movement mechanisms underlying observed home range formation.

3. Our foundational models consist of memory-mediated conspecific avoidance between flocks, combined with attraction to woodland.  These are then modified to incorporate the effects of flock size and relatedness, to uncover the effect of these on the mechanisms of home range formation.

4.  We found that a simple model of spatial avoidance, together with attraction to the central parts of woodland areas, accurately captures long-tailed tit home range patterns.  Refining these models further, we show that the magnitude of spatial avoidance by a flock is negatively correlated to both the relative size of the flock (compared to its neighbour) and the relatedness of the flock with its neighbour.  

5. Our study applies MHRA beyond the confines of scent-marking, territorial animals, so paves the way for much broader taxonomic application.  These could potentially help uncover general properties underlying the emergence of animal space use patterns.  This is also the first study to apply MHRA to questions of relatedness and flock size, thus broadening the potential possible applications of this suite of analytic techniques.
 

Usage Notes

This file contains the GPS data for flocks of long-tailed tits in the non-breeding seasons of 2010-2013 and 2018-19.

Funding

Engineering and Physical Sciences Research Council, Award: 1798737

Natural Environment Research Council, Award: NE/R001669/1