de Zwaan, Devin R; Scridel, Davide; Altamirano, Tomás A; Gokhale, Pranav; Kumar, R Suresh; Sevillano-Ríos, Steven; Barras, Arnaud G; Arredondo-Amezcua, Libertad; Asefa, Addisu; Carrillo, Ricardo A; Green, Ken; Gutiérrez-Chávez, Carlos A; Lehikoinen, Aleksi; Li, Shaobin; Lin, Ruey-Shing; Norment, Christopher J; Oswald, Krista N; Romanov, Alexey A; Salvador, Julio; Weston, Kerry A; ... (2022). GABB: A global dataset of alpine breeding birds and their ecological traits. Scientific data, 9(1), p. 627. Nature Publishing Group 10.1038/s41597-022-01723-6
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Alpine ecosystems represent varied climates and vegetation structures globally, with the potential to support rich and functionally diverse avian communities. High mountain habitats and species are under significant threat from climate change and other anthropogenic factors. Yet, no global database of alpine birds exists, with most mountain systems lacking basic information on species breeding in alpine habitats, their status and trends, or potential cryptic diversity (i.e., sub-species distributions). To address these critical knowledge gaps, we combined published literature, regional monitoring schemes, and expert knowledge from often inaccessible, data-deficient mountain ranges to develop a global list of alpine breeding bird species with their associated distributions and select ecological traits. This dataset compiles alpine breeding records for 1,310 birds, representing 12.0% of extant species and covering all major mountain regions across each continent, excluding Antarctica. The Global Alpine Breeding Bird dataset (GABB) is an essential resource for research on the ecological and evolutionary factors shaping alpine communities, as well as documenting the value of these high elevation, climate-sensitive habitats for conserving biodiversity.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) |
UniBE Contributor: |
Barras, Arnaud Gian |
Subjects: |
500 Science > 570 Life sciences; biology |
ISSN: |
2052-4463 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
17 Oct 2022 10:20 |
Last Modified: |
05 Dec 2022 16:26 |
Publisher DOI: |
10.1038/s41597-022-01723-6 |
PubMed ID: |
36243729 |
BORIS DOI: |
10.48350/173784 |
URI: |
https://boris.unibe.ch/id/eprint/173784 |
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