Publication

Light-level geolocator analyses: A user's guide

Lisovski, S., Bauer, S., Briedis, M., Davidson, S. C., Dhanjal-Adams, K. L., Hallworth, M. T., Karagicheva, J., Meier, C. M., Merkel, B., Ouwehand, J., Pedersen, L., Rakhimberdiev, E., Roberto-Charron, A., Seavy, N. E., Sumner, M. D., Taylor, C. M., Wotherspoon, S. J. & Bridge, E. S., Jan-2020, In : Journal of Animal Ecology. 89, 1, p. 221-236 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Lisovski, S., Bauer, S., Briedis, M., Davidson, S. C., Dhanjal-Adams, K. L., Hallworth, M. T., Karagicheva, J., Meier, C. M., Merkel, B., Ouwehand, J., Pedersen, L., Rakhimberdiev, E., Roberto-Charron, A., Seavy, N. E., Sumner, M. D., Taylor, C. M., Wotherspoon, S. J., & Bridge, E. S. (2020). Light-level geolocator analyses: A user's guide. Journal of Animal Ecology, 89(1), 221-236. https://doi.org/10.1111/1365-2656.13036

Author

Lisovski, Simeon ; Bauer, Silke ; Briedis, Martins ; Davidson, Sarah C. ; Dhanjal-Adams, Kiran L. ; Hallworth, Michael T. ; Karagicheva, Julia ; Meier, Christoph M. ; Merkel, Benjamin ; Ouwehand, Janne ; Pedersen, Lykke ; Rakhimberdiev, Eldar ; Roberto-Charron, Amélie ; Seavy, Nathaniel E. ; Sumner, Michael D. ; Taylor, Caz M. ; Wotherspoon, Simon J. ; Bridge, Eli S. / Light-level geolocator analyses : A user's guide. In: Journal of Animal Ecology. 2020 ; Vol. 89, No. 1. pp. 221-236.

Harvard

Lisovski, S, Bauer, S, Briedis, M, Davidson, SC, Dhanjal-Adams, KL, Hallworth, MT, Karagicheva, J, Meier, CM, Merkel, B, Ouwehand, J, Pedersen, L, Rakhimberdiev, E, Roberto-Charron, A, Seavy, NE, Sumner, MD, Taylor, CM, Wotherspoon, SJ & Bridge, ES 2020, 'Light-level geolocator analyses: A user's guide', Journal of Animal Ecology, vol. 89, no. 1, pp. 221-236. https://doi.org/10.1111/1365-2656.13036

Standard

Light-level geolocator analyses : A user's guide. / Lisovski, Simeon; Bauer, Silke; Briedis, Martins; Davidson, Sarah C.; Dhanjal-Adams, Kiran L.; Hallworth, Michael T.; Karagicheva, Julia; Meier, Christoph M.; Merkel, Benjamin; Ouwehand, Janne; Pedersen, Lykke; Rakhimberdiev, Eldar; Roberto-Charron, Amélie; Seavy, Nathaniel E.; Sumner, Michael D.; Taylor, Caz M.; Wotherspoon, Simon J.; Bridge, Eli S.

In: Journal of Animal Ecology, Vol. 89, No. 1, 01.2020, p. 221-236.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Lisovski S, Bauer S, Briedis M, Davidson SC, Dhanjal-Adams KL, Hallworth MT et al. Light-level geolocator analyses: A user's guide. Journal of Animal Ecology. 2020 Jan;89(1):221-236. https://doi.org/10.1111/1365-2656.13036


BibTeX

@article{a4242d3a1d914af1ae375946a4201d5f,
title = "Light-level geolocator analyses: A user's guide",
abstract = "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. 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. 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. 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. We provide advice for how to interpret and report results, highlighting parameters that should be reported in publications and included in data archiving. 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.",
author = "Simeon Lisovski and Silke Bauer and Martins Briedis and Davidson, {Sarah C.} and Dhanjal-Adams, {Kiran L.} and Hallworth, {Michael T.} and Julia Karagicheva and Meier, {Christoph M.} and Benjamin Merkel and Janne Ouwehand and Lykke Pedersen and Eldar Rakhimberdiev and Am{\'e}lie Roberto-Charron and Seavy, {Nathaniel E.} and Sumner, {Michael D.} and Taylor, {Caz M.} and Wotherspoon, {Simon J.} and Bridge, {Eli S.}",
note = "This article is protected by copyright. All rights reserved.",
year = "2020",
month = jan,
doi = "10.1111/1365-2656.13036",
language = "English",
volume = "89",
pages = "221--236",
journal = "Journal of Animal Ecology",
issn = "1365-2656",
publisher = "Wiley",
number = "1",

}

RIS

TY - JOUR

T1 - Light-level geolocator analyses

T2 - A user's guide

AU - Lisovski, Simeon

AU - Bauer, Silke

AU - Briedis, Martins

AU - Davidson, Sarah C.

AU - Dhanjal-Adams, Kiran L.

AU - Hallworth, Michael T.

AU - Karagicheva, Julia

AU - Meier, Christoph M.

AU - Merkel, Benjamin

AU - Ouwehand, Janne

AU - Pedersen, Lykke

AU - Rakhimberdiev, Eldar

AU - Roberto-Charron, Amélie

AU - Seavy, Nathaniel E.

AU - Sumner, Michael D.

AU - Taylor, Caz M.

AU - Wotherspoon, Simon J.

AU - Bridge, Eli S.

N1 - This article is protected by copyright. All rights reserved.

PY - 2020/1

Y1 - 2020/1

N2 - 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. 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. 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. 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. We provide advice for how to interpret and report results, highlighting parameters that should be reported in publications and included in data archiving. 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.

AB - 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. 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. 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. 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. We provide advice for how to interpret and report results, highlighting parameters that should be reported in publications and included in data archiving. 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.

U2 - 10.1111/1365-2656.13036

DO - 10.1111/1365-2656.13036

M3 - Article

C2 - 31190329

VL - 89

SP - 221

EP - 236

JO - Journal of Animal Ecology

JF - Journal of Animal Ecology

SN - 1365-2656

IS - 1

ER -

ID: 85664280