Evidence map›Paper›PMID 42886271›Full record

ArticleInternational journal of biometeorology2026

Changes in temperature, rainfall and snow cover during the reproductive season of Arctic-breeding birds.

Nomikos Skyllas, Nicoleta Tsakali, Hans Linssen, Thomas K Lameris, Bart A Nolet, Richard Bintanja

Abstract read
In one paragraph

Article in International journal of biometeorology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Nomikos SkyllasEnergy and Sustainability Research Institute Groningen (ESRIG), University of Groningen, Groningen, the Netherlands. n.skyllas@rug.nl.ORCID http://orcid.org/0000-0003-2273-2280
Nicoleta TsakaliRoyal Netherlands Meteorological Institute (KNMI), De Bilt, Utrecht, the Netherlands.
Hans LinssenDepartment of Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.
Thomas K LamerisGroningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, the Netherlands.
Bart A NoletDepartment of Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.
Richard BintanjaEnergy and Sustainability Research Institute Groningen (ESRIG), University of Groningen, Groningen, the Netherlands.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek ALWPP.2019.002
6 · The paper itself

Abstract

Arctic warming is rapidly altering hydroclimatic conditions, yet its implications for the timing and reliability of terrestrial breeding environments remain poorly quantified. This study assesses how changes in temperature, snow dynamics, and rainfall extremes affect the snow-free reproductive window across Arctic tundra systems. We combined ERA5 reanalysis (1940-2024), daily output from ten CMIP6 Earth System Models, and long-term equilibrium simulations (400 years) from EC-Earth3 under present-day and doubled CO₂ conditions. Analyses focused on lowland tundra regions and quantified changes in snow cover, timing and duration of the productive period, and the frequency and magnitude of extreme rainfall events. Results show substantial Arctic warming under SSP2-4.5 (approximately 4.9 °C by 2081-2100 relative to 1995-2014), reductions in snowfall, and declining snow cover across the Arctic. Separately, the idealized EC-Earth equilibrium experiment, representing approximately 6 °C of global-mean warming relative to pre-industrial conditions in the 2×CO₂ state, shows how reproductive-season hydroclimate responds under strong sustained warming. Between the 1×CO₂ and 2×CO₂ equilibrium states, the snow-free period lengthens substantially due to earlier snowmelt (-28 days) and delayed snow onset (+36 days), while rainfall extremes intensify sharply. Extremely wet days become up to sixteen times more frequent, and rainfall events with a 100-year return period in the 1×CO₂ climate recur every 2-9 years in the 2×CO₂ climate, with particularly large relative changes in historically dry regions. These results show that a longer snow-free season under strong warming can coincide with substantially greater exposure to rainfall extremes, highlighting the importance of hydroclimatic extremes when assessing ecological responses to Arctic climate change.

Indexed as

BirdsRainSnowAnimalsArctic RegionsClimate ChangeReproductionSeasonsTemperatureTundraArctic tundraClimate projectionsCMIP6EC-EarthExtreme eventsMigratory birdsPhenologyProductive periodSnowmelt

Identifiers

PMID42886271
PMCPMC13675148

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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.