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Light-level geolocator analyses: a user's guide


Lisovski, S and Bauer, S and Briedis, M and Davidson, SC and Dhanjal-Adams, KL and Hallworth, MT and Karagicheva, J and Meier, CM and Merkel, B and Ouwehand, J and Pedersen, L and Rakhimberdiev, E and Roberto-Charron, A and Seavy, NE and Sumner, MD and Taylor, CM and Wotherspoon, SJ and Bridge, ES, Light-level geolocator analyses: a user's guide, Journal of Animal Ecology, 89, (1) pp. 221-236. ISSN 0021-8790 (2019) [Refereed Article]

Copyright Statement

Copyright 2019 The Authors

DOI: doi:10.1111/1365-2656.13036


  1. Light‐level geolocator tags use ambient light recordings to estimate the whereabouts of an individual over the time it carried the device. Over the past decade, these tags have emerged as an important tool and have been used extensively for tracking animal migrations, most commonly small birds.
  2. Analysing geolocator data can be daunting to new and experienced scientists alike. Over the past decades, several methods with fundamental differences in the analytical approach have been developed to cope with the various caveats and the often complicated data.
  3. Here, we explain the concepts behind the analyses of geolocator data and provide a practical guide for the common steps encompassing most analyses annotation of twilights, calibration, estimating and refining locations, and extraction of movement patterns describing good practices and common pitfalls for each step.
  4. We discuss criteria for deciding whether or not geolocators can answer proposed research questions, provide guidance in choosing an appropriate analysis method and introduce key features of the newest open‐source analysis tools.
  5. We provide advice for how to interpret and report results, highlighting parameters that should be reported in publications and included in data archiving.
  6. Finally, we introduce a comprehensive supplementary online manual that applies the concepts to several datasets, demonstrates the use of open‐source analysis tools with step‐by‐step instructions and code and details our recommendations for interpreting, reporting and archiving.

Item Details

Item Type:Refereed Article
Keywords:animal tracking, archival tags, FLightR, GeoLight, Movebank, probGLS, SGAT, solar geolocation
Research Division:Mathematical Sciences
Research Group:Statistics
Research Field:Biostatistics
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the biological sciences
UTAS Author:Wotherspoon, SJ (Dr Simon Wotherspoon)
ID Code:137546
Year Published:2019
Web of Science® Times Cited:68
Deposited By:Ecology and Biodiversity
Deposited On:2020-02-19
Last Modified:2020-06-10

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