Evidence map›Paper›PMID 42502843›Full record

ArticleCommunications earth & environment2026

Ubiquitous and expanding glacier algal blooms modelled around the Greenland Ice Sheet.

Christopher J Williamson, Andrew J Tedstone

Abstract read
In one paragraph

Article in Communications earth & environment, 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

2 authors.

Christopher J Williamson *Bristol Glaciology Centre, University of Bristol, Bristol, UK.ORCID 0000-0002-8239-7368
Andrew J Tedstone *Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-9211-451X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glacier algal blooms occupying the melting surface of the Greenland Ice Sheet (GrIS) support diverse microbial communities and amplify ice melt through positive albedo feedback. Knowledge about the distribution and magnitude of these blooms has been limited to isolated field surveys or regional remote sensing and modelling studies to-date. Here, we present Greenland-wide simulations of glacier algal blooms over the past two decades (2000-2022) using a Quasi Monte Carlo (QMC) ensemble approach informed through sensitivity analysis of key model parameters. We show how conditions conducive for glacier algal growth are present around the entirety of the GrIS margins each year of our study regardless of the magnitude and duration of the melt season. Spatiotemporal heterogeneity in accumulated biomass is modelled across the ablation zone, between ice sheet sectors and relative to inter-annual variability in melt. Bloom magnitude maps to the availability of ablation zone area in each year and we identify northern sectors as potential harbingers of expansive blooms that remain to be sampled. A small increasing trend in total bloom extent (3724 km

Indexed as

Cryospheric scienceEcological modellingWater microbiology

Identifiers

PMID42502843
PMCPMC13400310

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.