GalliForm, a database of Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800–2008
Historical as well as current species distribution data are needed to track changes in biodiversity. Species distribution data are found in a variety of sources, each of which has its own distinct bias toward certain taxa, time periods or places. We present GalliForm, a database that comprises 18668...
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Veröffentlicht in: | Scientific data 2020-10, Vol.7 (1), p.344, Article 344 |
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Sprache: | eng |
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Zusammenfassung: | Historical as well as current species distribution data are needed to track changes in biodiversity. Species distribution data are found in a variety of sources, each of which has its own distinct bias toward certain taxa, time periods or places. We present GalliForm, a database that comprises 186687 galliform occurrence records linked to 118907 localities in Europe and Asia. Records were derived from museums, peer-reviewed and grey literature, unpublished field notes, diaries and correspondence, banding records, atlas records and online birding trip reports. We describe data collection processes, georeferencing methods and quality-control procedures. This database has underpinned several peer-reviewed studies, investigating spatial and temporal bias in biodiversity data, species’ geographic range changes and local extirpation patterns. In our rapidly changing world, an understanding of long-term change in species’ distributions is key to predicting future impacts of threatening processes such as land use change, over-exploitation of species and climate change. This database, its historical aspect in particular, provides a valuable source of information for further studies in macroecology and biodiversity conservation.
Measurement(s)
geographic location • Species • Occupancy
Technology Type(s)
georeferencing • digital curation
Sample Characteristic - Organism
Galliformes sp.
Sample Characteristic - Location
Palearctic Region • Indomalayan Region
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.12886931 |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-020-00690-0 |