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Different location sampling frequencies by satellite tags yield different estimates of migration performance: pooling
Alessandro Tanferna1, Lidia López-Jiménez, Julio Blas
1Department of Conservation Biology, Estación Biológica de Doñana, Consejo Superior de Investigación Científica, Sevilla, Spain. a.tanferna@ebd.csic.es
Satellite tracking data from Black kites reveal that location sampling frequency significantly impacts migration route length and speed estimates. Researchers need standardized protocols for compatible meta-analyses.
Area of Science:
- Ecology
- Zoology
- Bioinformatics
Background:
- Migration research relies heavily on satellite-tracking devices, but data compatibility issues hinder meta-analyses.
- Varying location sampling frequencies and spatial accuracy of tracking devices raise concerns about data comparability.
Purpose of the Study:
- To test the compatibility of satellite-tracking data with different location sampling frequencies and subsampling methods.
- To identify solutions for enhancing data compatibility to enable future meta-analyses in migration research.
Main Methods:
- Analyzed satellite-tracking data from 36 Black kites (Milvus migrans) using linear mixed models.
- Compared migration track speed and route length estimates from devices with different position sampling frequencies (Argos vs. GPS tags).
Main Results:
- Different location sampling frequencies and data subsampling approaches caused significant differences (up to 33%) in estimated migration route length and speed.
- The abundance of available locations influences the tortuosity and realism of migration path estimations.
Conclusions:
- Standardized data presentation protocols are crucial for reliable meta-analyses in animal migration studies.
- Transmitter-based studies may underestimate actual animal travel distances; analytical capacity must match technological advancements for data compatibility.
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