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The Aranzadi bird Ringing Scheme data bank
Juan Arizaga1, Agurtzane Iraeta1, Ariñe Crespo1
1Aranzadi Ringing Scheme, Aranzadi Sciences Society, Zorroagagaina 11, 20014 Donostia, Spain Aranzadi Sciences Society Donostia Spain.
Zookeys
|May 19, 2025
Summary
The Aranzadi Ringing Scheme (ARS) provides extensive bird migration data from 1950 to present. This dataset, including 1.8 million georeferenced records, aids biodiversity research and conservation efforts.
Area of Science:
- Ornithology
- Biodiversity Science
- Conservation Biology
Background:
- The Aranzadi Ringing Scheme (ARS), established in 1949 by the Aranzadi Sciences Society, is Spain's official bird-ringing program.
- ARS data, spanning from 1950 to the present, is partially published on the Global Biodiversity Information Facility (GBIF).
- Data digitalization is ongoing, with some records from before the 1970s still pending.
Purpose of the Study:
- To present the comprehensive dataset of the Aranzadi Ringing Scheme.
- To highlight the scope and geographical coverage of bird ringing and recovery data.
- To provide a valuable resource for ornithological research and biodiversity monitoring.
Main Methods:
- Bird ringing activities conducted primarily in Spain and exceptionally in other countries.
- Collection of recovery data from birds bearing Aranzadi rings, potentially worldwide.
- Georeferencing of all ringing and recovery records for spatial analysis.
Main Results:
- The dataset contains 1.8 million records as of December 31, 2024, covering both ringings and recoveries.
- Records span from 1950 to the present, with ongoing digitalization efforts.
- Recoveries have been reported from all continents except Oceania and Antarctica, with over 90% of records within Europe.
- The dataset includes 479 taxa, comprising 430 species, subspecies, hybrids, and genus-level identifications across 24 orders.
Conclusions:
- The Aranzadi Ringing Scheme dataset is a significant, long-term resource for understanding bird distribution and migration patterns.
- The extensive georeferenced data supports global biodiversity assessments and conservation strategies.
- Continued data digitalization and expansion will further enhance the dataset's utility for scientific research.
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