Light-level geolocator analyses: A user's guide

Simeon Lisovski; Silke Bauer; Martins Briedis; Sarah C. Davidson; Kiran L. Dhanjal-Adams; Michael T. Hallworth; Julia Karagicheva; Christoph M. Meier; Benjamin Merkel; Janne Ouwehand; Lykke Pedersen; Eldar Rakhimberdiev; Amélie Roberto-Charron; Nathaniel E. Seavy; Michael D. Sumner; Caz M. Taylor; Simon J. Wotherspoon; Eli S. Bridge

doi:10.1111/1365-2656.13036

Light-level geolocator analyses: A user's guide

Simeon Lisovski^*, Silke Bauer, Martins Briedis, Sarah C. Davidson, Kiran L. Dhanjal-Adams, Michael T. Hallworth, Julia Karagicheva, Christoph M. Meier, Benjamin Merkel, Janne Ouwehand, Lykke Pedersen, Eldar Rakhimberdiev, Amélie Roberto-Charron, Nathaniel E. Seavy, Michael D. Sumner, Caz M. Taylor, Simon J. Wotherspoon, Eli S. Bridge

^*Corresponding author af dette arbejde

23 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	Journal of Animal Ecology
ISSN	0021-8790
DOI	https://doi.org/10.1111/1365-2656.13036
Status	Udgivet - 1 jan. 2020

Adgang til dokumentet

10.1111/1365-2656.13036

Lisovski_et_al-2019-JAnimEcol.pdfForlagets udgivne version, 4,81 MB

Andre filer og links

Link to publication in Scopus

Citationsformater

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. https://doi.org/10.1111/1365-2656.13036

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. https://doi.org/10.1111/1365-2656.13036

@article{62f3a46bb09d4b78abc2c39a91e14d7b,

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.",

keywords = "animal tracking, archival tags, FLightR, GeoLight, Movebank, probGLS, SGAT, solar geolocation",

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.}",

year = "2020",

month = jan,

day = "1",

doi = "10.1111/1365-2656.13036",

language = "English",

journal = "Journal of Animal Ecology",

issn = "0021-8790",

publisher = "Wiley-Blackwell",

}

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.

PY - 2020/1/1

Y1 - 2020/1/1

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.

KW - animal tracking

KW - archival tags

KW - FLightR

KW - GeoLight

KW - Movebank

KW - probGLS

KW - SGAT

KW - solar geolocation

UR - http://www.scopus.com/inward/record.url?scp=85068119355&partnerID=8YFLogxK

U2 - 10.1111/1365-2656.13036

DO - 10.1111/1365-2656.13036

M3 - Journal article

C2 - 31190329

AN - SCOPUS:85068119355

SN - 0021-8790

JO - Journal of Animal Ecology

JF - Journal of Animal Ecology

ER -

Light-level geolocator analyses: A user's guide

Abstract

Adgang til dokumentet

Andre filer og links

Fingeraftryk

Citationsformater