Data from: Is pre-breeding prospecting behaviour affected by snow cover in the irruptive snowy owl? A test using state-space modelling and environmental data annotated via Movebank

When using this dataset, please cite the original article.

Therrien J-F, Pinaud D, Gauthier G, Lecomte N, Bildstein KL, Bety J (2015) Is pre-breeding prospecting behaviour affected by snow cover in the irruptive snowy owl? A test using state-space modelling and environmental data annotated via Movebank. Movement Ecology 3:1. doi:10.1186/s40462-015-0028-7

Additionally, please cite the Movebank data package:

Therrien J, Pinaud D, Gauthier G, Lecomte N, Bildstein KL, Bety J (2015) Data from: Is pre-breeding prospecting behaviour affected by snow cover in the irruptive snowy owl? A test using state-space modelling and environmental data annotated via Movebank. Movebank Data Repository. doi:10.5441/001/1.32rf091b
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Package Identifier doi:10.5441/001/1.32rf091b  
 
Abstract Background: Tracking individual animals using satellite telemetry has improved our understanding of animal movements considerably. Nonetheless, thorough statistical treatment of Argos datasets is often jeopardized by their coarse temporal resolution. State-space modelling can circumvent some of the inherent limitations of Argos datasets, such as the limited temporal resolution of locations and the lack of information pertaining to the behavioural state of the tracked individuals at each location. We coupled state-space modelling with environmental characterisation of modelled locations on a 3-year Argos dataset of 9 breeding snowy owls to assess whether searching behaviour for breeding sites was affected by snow cover and depth in an arctic predator that shows a lack of breeding site fidelity. Results: The state-space modelling approach allowed the discrimination of two behavioural states (searching and moving) during pre-breeding movements. Tracked snowy owls constantly switched from moving to searching behaviour during pre-breeding movements from mid-March to early June. Searching events were more likely where snow cover and depth was low. This suggests that snowy owls adapt their searching effort to environmental conditions encountered along their path. Conclusions: This modelling technique increases our understanding of movement ecology and behavioural decisions of individual animals both locally and globally according to environmental variables.
Keywords animal tracking, Argos, Bubo scandiacus, dispersal, Env-DATA, Movebank, NCEP NARR, pre-breeding movements, snow, satellite telemetry, snowy owl, state-space model,

Pre-breeding prospecting behaviour of snowy owls (data from Therrien et al. 2015) View File Details
Download: README.txt ( 12.29Kb )
Download: Pre-breeding prospecting behaviour of snowy owls (data from Therrien et al. 2015).csv ( 302.4Kb )
To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data.  



Pre-breeding prospecting behaviour of snowy owls (data from Therrien et al. 2015)-reference-data View File Details
Download: README.txt ( 12.29Kb )
Download: Pre-breeding prospecting behaviour of snowy owls (data from Therrien et al. 2015)-reference-data.csv ( 4.911Kb )
To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data.  


Submission