Home range shifts by breeding female Townsend's voles ( Microtus townsendii  ): a test of the territory bequeathal hypothesis

1997 ◽  
Vol 40 (6) ◽  
pp. 363-372 ◽  
Author(s):  
Xavier Lambin
Author(s):  
Rafael Mares ◽  
Ricardo S. Moreno ◽  
Roland W. Kays ◽  
Martin Wikelski

Home range shifts prior to natal dispersal have been rarely documented, yet the events that lead a subadult to abandon a portion of its home range and venture into unfamiliar territories, before eventually setting off to look for a site to reproduce, are probably related to the causes of dispersal itself. Here, we used a combination of manual radio-tracking and an Automated Radio Telemetry System to continuously study the movements of a subadult male ocelot (Leopardus pardalis), a solitary carnivore with sex-biased dispersal, on Barro Colorado Island, Panama, for 18 months from May 2003 through October 2004. The subadult ocelot?s parents were also radio-tracked to record possible parent-offspring interactions within their home ranges. At the age of ca. 21 months the subadult gradually began to shift its natal home range, establishing a new one used until the end of the study, in an area that had previously been used by another dispersing subadult male. Only three parent-offspring interactions were recorded during the four months around the time the range-shift occurred. The apparent peaceful nature of these encounters, along with the slow transition out of a portion of his natal home range, suggest the subadult was not evicted from his natal area by his parents. The timing of the shift, along with the subadult?s increase in weight into the weight range of adult ocelots four months after establishing the new territory, suggests that predispersal home range shifts could act as a low risk and opportunistic strategy for reaching adult size, while minimizing competition with parents and siblings, in preparation for an eventual dispersal into a new breeding territory.


2016 ◽  
Vol 101 (5-6) ◽  
pp. 147-159 ◽  
Author(s):  
Andrew Kaus ◽  
Olaf Büttner ◽  
Michael Schäffer ◽  
Gankhuyag Balbar ◽  
Purevdorj Surenkhorloo ◽  
...  

2018 ◽  
Author(s):  
Rémi Patin ◽  
Marie-Pierre Étienne ◽  
Émilie Lebarbier ◽  
Simon Chamaillé-Jammes ◽  
Simon Benhamou

AbstractRecent advances in bio-logging open promising perspectives in the study animal movements at numerous scales. It is now possible to record time-series of animal locations and ancillary data (e.g. activity level derived from on-board accelerometers) over extended areas and long durations with a high spatial and temporal resolution. Such time-series are often piecewise stationary, as the animal may alternate between different stationary phases (i.e. characterised by a specific mean and variance of some key parameter for limited periods). Identifying when these phases start and end is a critical first step to understand the dynamics of the underlying movement processes.We introduce a new segmentation-clustering method we called segclust2d. It can segment bi-(or more generally multi-) variate time-series and possibly cluster the various segments obtained, corresponding to phases assumed to be stationary. It is easy to use, as it only requires specifying the minimum length of a segment (to prevent over-segmentation) based on biological considerations.Although this method can be applied to time-series of any nature, we focus here on two-dimensional piecewise time-series whose phases correspond at small scale to the expressions of different behavioural modes such as transit, feeding and resting, as characterised by two joint metrics such as speed and turning angles or, at larger scale, to temporary home ranges, characterised by stationary distributions of bivariate coordinates.Using computer simulations, we show that segcust2d can rival and even outperform previous, more complex methods, which were specifically developed to highlight changes in movement modes or home range shifts (based on Hidden Markov or Ornstein-Uhlenbeck modelling, respectively), which, contrary to our method, require truly informative initial guesses to be efficient. Furthermore we demonstrate it on actual examples involving a zebra’s small scale movements and an elephant’s large scale movements, to illustrate the identification of various movement modes and of home range shifts, respectively.


2009 ◽  
Vol 30 (3) ◽  
pp. 443-466 ◽  
Author(s):  
Karline R. L. Janmaat ◽  
William Olupot ◽  
Rebecca L. Chancellor ◽  
Malgorzata E. Arlet ◽  
Peter M. Waser

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