Testing alternative methods for estimation of bird migration phenology from GPS tracking data

The development and miniaturization of GPS tracking devices has enabled a better understanding of migration phenology, but it can be challenging to identify where and when migration starts and ends, and researchers rely on multiple methods to infer it. Here, we use GPS tracks of 18 trans‐Saharan mig...

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Bibliographic Details
Published in:Ibis (London, England) England), 2020-04, Vol.162 (2), p.581-588
Main Authors: Soriano‐Redondo, Andrea, Acácio, Marta, Franco, Aldina M. A., Herlander Martins, Bruno, Moreira, Francisco, Rogerson, Katharine, Catry, Inês
Format: Article
Language:English
Subjects:
Aquatic birds
biologging
Bird migration
Birds
Displacement
Global positioning systems
GPS
GSM loggers
Migration
migration phenology
Migrations
migratory timing
Miniaturization
Phenology
Production methods
Spatial analysis
Test procedures
Tracking devices
Tracking equipment
Waterfowl
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Summary:The development and miniaturization of GPS tracking devices has enabled a better understanding of migration phenology, but it can be challenging to identify where and when migration starts and ends, and researchers rely on multiple methods to infer it. Here, we use GPS tracks of 18 trans‐Saharan migrant White Storks Ciconia ciconia to determine how the choice of method influences the estimation of migratory timing and discuss its implications. We evaluate and provide R code for the implementation of five alternative methods: spatial threshold, absolute displacement, spatio‐temporal displacement, net squared displacement and change point analysis. Spatial threshold, absolute displacement and spatio‐temporal displacement methods produce, in most cases, significantly different estimates of migration timing and duration as compared with net squared displacement and change point analysis.
ISSN:0019-1019
1474-919X
DOI:10.1111/ibi.12809