GABB: A global dataset of alpine breeding birds and their ecological traits.
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...
Published in: | Scientific Data |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Nature Publishing Group
2022
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Subjects: | |
Online Access: | https://boris.unibe.ch/173784/1/s41597-022-01723-6.pdf https://boris.unibe.ch/173784/ |
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author | 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 Martin, Kathy |
author_facet | 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 Martin, Kathy |
author_sort | de Zwaan, Devin R |
collection | BORIS (Bern Open Repository and Information System, University of Bern) |
container_issue | 1 |
container_title | Scientific Data |
container_volume | 9 |
description | 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. |
format | Article in Journal/Newspaper |
genre | Antarc* Antarctica |
genre_facet | Antarc* Antarctica |
id | ftunivbern:oai:boris.unibe.ch:173784 |
institution | Open Polar |
language | English |
op_collection_id | ftunivbern |
op_doi | https://doi.org/10.1038/s41597-022-01723-6 |
op_relation | https://boris.unibe.ch/173784/ |
op_rights | info:eu-repo/semantics/openAccess |
op_source | 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 <http://dx.doi.org/10.1038/s41597-022-01723-6> |
publishDate | 2022 |
publisher | Nature Publishing Group |
record_format | openpolar |
spelling | ftunivbern:oai:boris.unibe.ch:173784 2025-05-25T13:45:43+00:00 GABB: A global dataset of alpine breeding birds and their ecological traits. 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 Martin, Kathy 2022-10-15 application/pdf https://boris.unibe.ch/173784/1/s41597-022-01723-6.pdf https://boris.unibe.ch/173784/ eng eng Nature Publishing Group https://boris.unibe.ch/173784/ info:eu-repo/semantics/openAccess 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 <http://dx.doi.org/10.1038/s41597-022-01723-6> 570 Life sciences biology info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion PeerReviewed 2022 ftunivbern https://doi.org/10.1038/s41597-022-01723-6 2025-04-28T06:49:49Z 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. Article in Journal/Newspaper Antarc* Antarctica BORIS (Bern Open Repository and Information System, University of Bern) Scientific Data 9 1 |
spellingShingle | 570 Life sciences biology 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 Martin, Kathy GABB: A global dataset of alpine breeding birds and their ecological traits. |
title | GABB: A global dataset of alpine breeding birds and their ecological traits. |
title_full | GABB: A global dataset of alpine breeding birds and their ecological traits. |
title_fullStr | GABB: A global dataset of alpine breeding birds and their ecological traits. |
title_full_unstemmed | GABB: A global dataset of alpine breeding birds and their ecological traits. |
title_short | GABB: A global dataset of alpine breeding birds and their ecological traits. |
title_sort | gabb: a global dataset of alpine breeding birds and their ecological traits. |
topic | 570 Life sciences biology |
topic_facet | 570 Life sciences biology |
url | https://boris.unibe.ch/173784/1/s41597-022-01723-6.pdf https://boris.unibe.ch/173784/ |