Evidence map›Paper›PMID 35441422›Full record

ArticleGlobal change biology2022

Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions.

Mattia Brambilla, Diego Rubolini, Ojan Appukuttan, Gianpiero Calvi, Dirk Nikolaus Karger, Primož Kmecl, Tomaž Mihelič, Thomas Sattler, Benjamin Seaman, Norbert Teufelbauer and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Global change biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
21.0field-weighted citation impact, top 1% of its field
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

18 citing papers in PubMed, 90 citations in OpenAlex.

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  14. Effects of Climate Change on the Distribution of Threatened Fishing BatAnimals : an open access journal from MDPI · 2023
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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

12 authors at 7 institutions in 5 countries.

Mattia BrambillaLipu/BirdLife Italia, Parma, Italy.ORCID 0000-0002-7643-4652
Diego RuboliniDipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy.ORCID 0000-0003-2703-5783
Ojan AppukuttanDipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy.
Gianpiero CalviStudio Pteryx, Basiano, Italy.ORCID 0000-0002-5145-3558
Dirk Nikolaus KargerSwiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland.ORCID 0000-0001-7770-6229
Primož KmeclDOPPS-BirdLife Slovenia, Ljubljana, Slovenia.ORCID 0000-0003-4247-2922
Tomaž MiheličDOPPS-BirdLife Slovenia, Ljubljana, Slovenia.
Thomas SattlerSchweizerische Vogelwarte, Sempach, Switzerland.ORCID 0000-0001-5359-6387
Benjamin SeamanBirdLife Austria, Vienna, Austria.ORCID 0000-0003-1328-210X
Norbert TeufelbauerBirdLife Austria, Vienna, Austria.
Johannes WahlDachverband Deutscher Avifaunisten (DDA), Münster, Germany.
Claudio CeladaLipu/BirdLife Italia, Parma, Italy.
BirdLife Australia · AUUniversity of Milan · ITBassano Bresciano Astronomical Observatory · ITFachverband SAPV Hessen · DELega Italiana Protezione Uccelli · ITSwiss Federal Institute for Forest, Snow and Landscape Research · CHSwiss Ornithological Institute · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying climate refugia is key to effective biodiversity conservation under a changing climate, especially for mountain-specialist species adapted to cold conditions and highly threatened by climate warming. We combined species distribution models (SDMs) with climate forecasts to identify climate refugia for high-elevation bird species (Lagopus muta, Anthus spinoletta, Prunella collaris, Montifringilla nivalis) in the European Alps, where the ecological effects of climate changes are particularly evident and predicted to intensify. We considered future (2041-2070) conditions (SSP585 scenario, four climate models) and identified three types of refugia: (1) in-situ refugia potentially suitable under both current and future climate conditions, ex-situ refugia suitable (2) only in the future according to all future conditions, or (3) under at least three out of four future conditions. SDMs were based on a very large, high-resolution occurrence dataset (2901-12,601 independent records for each species) collected by citizen scientists. SDMs were fitted using different algorithms, balancing statistical accuracy, ecological realism and predictive/extrapolation ability. We selected the most reliable ones based on consistency between training and testing data and extrapolation over distant areas. Future predictions revealed that all species (with the partial exception of A. spinoletta) will undergo a range contraction towards higher elevations, losing 17%-59% of their current range (larger losses in L. muta). We identified ~15,000 km

Indexed as

Climate ChangeRefugiumBiodiversityEcosystemForecastingHumansAlpsclimate changecommunity sciencedistributionecological realismprotected areasSDM extrapolation

Identifiers

PMID35441422
PMCPMC9546033
OpenAlexW4224210081

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.