Evidence map›Paper›PMID 36243729›Full record

ArticleScientific data2022

GABB: A global dataset of alpine breeding birds and their ecological traits.

Devin R de Zwaan, Davide Scridel, Tomás A Altamirano, Pranav Gokhale, R Suresh Kumar, Steven Sevillano-Ríos, Arnaud G Barras, Libertad Arredondo-Amezcua, Addisu Asefa, Ricardo A Carrillo and 11 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Devin R de ZwaanDepartment of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada. drdezwaan@gmail.com.ORCID 0000-0001-5418-0754
Davide ScridelCentro Nazionale delle Ricerche, Istituto di Ricerca sulle Acque, Brugherio, Monza e della Brianza, Italy.
Tomás A AltamiranoAudubon Americas, National Audubon Society, Santiago, Región Metropolitana, Chile.
Pranav GokhaleDepartment of Endangered Species Management, Wildlife Institute of India, Dehradun, Uttarakhand, India.ORCID 0000-0002-7986-1588
R Suresh KumarDepartment of Endangered Species Management, Wildlife Institute of India, Dehradun, Uttarakhand, India.
Steven Sevillano-RíosDepartment of Natural Resources, Cornell Lab of Ornithology, Cornell University, Ithaca, New York, USA.
Arnaud G BarrasDivision of Conservation Biology, Institute of Ecology and Evolution, University of Bern, Bern, Canton of Bern, Switzerland.
Libertad Arredondo-AmezcuaIndependent researcher, Morelia, Michoacán, Mexico.
Addisu AsefaDepartment of Conservation Ecology, Faculty of Biology, Philipps-University of Marburg, Marburg, Hessen, Germany.ORCID 0000-0002-6042-9592
Ricardo A CarrilloCentro de Ornitologia y Biodiversidad (CORBIDI), Santiago de Surco, Lima, Peru.ORCID 0000-0002-1727-0512
Ken GreenCollege of Asia and the Pacific, Australian National University, Canberra, Australian Capital Territory, Australia.
Carlos A Gutiérrez-ChávezIndependent researcher, Morelia, Michoacán, Mexico.
Aleksi LehikoinenHelsinki Lab of Ornithology, Finnish Museum of Natural History, University of Helsinki, Helsinki, Uusimaa, Finland.ORCID 0000-0002-1989-277X
Shaobin LiDepartment of Zoology, College of Life Sciences, Yangtze University, Jingzhou, Hubei, China.
Ruey-Shing LinHabitats and Ecosystems Division, Endemic Species Research Institute, Jiji, Nantou, Taiwan.
Christopher J NormentDepartment of Environmental Science and Ecology, State University of New York College at Brockport, Brockport, New York, USA.
Krista N OswaldMitrani Department of Desert Ecology, Jacob Blaustein Institute of Desert Research, Ben-Gurion University of the Negev, Be'er-Sheva, Israel.
Alexey A RomanovDepartment of Biogeography, Faculty of Geography, Lomonosov Moscow State University, Moscow, Podmoskovye, Russia.
Julio SalvadorCentro de Ornitologia y Biodiversidad (CORBIDI), Santiago de Surco, Lima, Peru.
Kerry A WestonBiodiversity Group, Department of Conservation, New Zealand Government, Christchurch, Canterbury, New Zealand.
Kathy MartinDepartment of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BirdsEcosystemAnimalsBiodiversityClimate ChangePhenotype

Identifiers

PMID36243729
PMCPMC9569320

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.