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...
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ftpubmed:oai:pubmedcentral.nih.gov:9569320 2023-05-15T13:44:28+02:00 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 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569320/ http://www.ncbi.nlm.nih.gov/pubmed/36243729 https://doi.org/10.1038/s41597-022-01723-6 en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569320/ http://www.ncbi.nlm.nih.gov/pubmed/36243729 http://dx.doi.org/10.1038/s41597-022-01723-6 © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access 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/ (https://creativecommons.org/licenses/by/4.0/) . CC-BY Sci Data Data Descriptor Text 2022 ftpubmed https://doi.org/10.1038/s41597-022-01723-6 2022-10-23T00:44:50Z 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. Text Antarc* Antarctica PubMed Central (PMC) Scientific Data 9 1 |
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Data Descriptor 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 |
topic_facet |
Data Descriptor |
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 |
Text |
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. |
title |
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_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_sort |
gabb: a global dataset of alpine breeding birds and their ecological traits |
publisher |
Nature Publishing Group UK |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569320/ http://www.ncbi.nlm.nih.gov/pubmed/36243729 https://doi.org/10.1038/s41597-022-01723-6 |
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Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Sci Data |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569320/ http://www.ncbi.nlm.nih.gov/pubmed/36243729 http://dx.doi.org/10.1038/s41597-022-01723-6 |
op_rights |
© The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access 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/ (https://creativecommons.org/licenses/by/4.0/) . |
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CC-BY |
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https://doi.org/10.1038/s41597-022-01723-6 |
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Scientific Data |
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