Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34651
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: GalliForm, a database of Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800–2008
Author(s): Boakes, Elizabeth H
Fuller, Richard A
Mace, Georgina M
Ding, Changqing
Tze Ang, Tzo
Auffret, Alistair G
Clark, Natalie E
Dunn, Jonathon
Gilbert, Jennifer
Golovnyuk, Viktor
Gupta, Garima
Irlich, Ulrike
Joachim, Emily
O’ Connor, Kim
Potapov, Eugene
Contact Email: garima.gupta@stir.ac.uk
Keywords: Biodiversity
Conservation biology
Ecological modelling
Macroecology
Issue Date: 2020
Date Deposited: 9-Nov-2022
Citation: Boakes EH, Fuller RA, Mace GM, Ding C, Tze Ang T, Auffret AG, Clark NE, Dunn J, Gilbert J, Golovnyuk V, Gupta G, Irlich U, Joachim E, O’ Connor K & Potapov E (2020) GalliForm, a database of Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800–2008. <i>Scientific Data</i>, 7, Art. No.: 344. https://doi.org/10.1038/s41597-020-00690-0
Abstract: 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 Records were derived from museums, peer-reviewed and grey literature, unpublished field notes, diaries and correspondence, banding records, atlas records and online birding trip reports.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.
DOI Link: 10.1038/s41597-020-00690-0
Rights: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Notes: Additional co-authors: Roald Potapov, Judith Schleicher, Sarah Stebbing, Terry Townshend & Philip J. K. McGowan
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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