Evidence map›Paper›PMID 40603364›Full record

ArticleScientific reports2025

Seasonal cycles of snow algal blooms intensify surface melting on Antarctic ice shelves.

Dong Liang, Lu Zhang, Qing Cheng, Qi Zhu, Yiming Liu, Barjeece Bashir, Weidong Kong, Lingyi Kong

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

8 authors.

Dong LiangInternational Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.
Lu ZhangInternational Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China. zhanglu@aircas.ac.cn.
Qing ChengSchool of Computer Science, China University of Geoscience, Wuhan, 430074, China.
Qi ZhuKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Yiming LiuKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Barjeece BashirInternational Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.
Weidong KongUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Lingyi KongInternational Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.

Funding

International Research Center of Big Data for Sustainable Development Goals CBASYX0906National Natural Science Foundation of China 42376246
6 · The paper itself

Abstract

Antarctic ice shelves play a pivotal role in global sea-level regulation, yet their sensitivity to temperature variations, freeze-thaw cycles, and biotic factors such as snow algae remains under-explored. This study addresses the critical question: how do snow algae influence the melting dynamics of Antarctic ice shelves under changing climatic conditions? To answer this question, the study applies time-lag adjusted Pearson correlation and Granger causality tests to high-resolution Sentinel-1 and Sentinel-2 time-series data in Google Earth Engine. The findings demonstrate that algae biomass influences subsequent melting, underscoring snow algae's pivotal role in accelerating the melting of Antarctic ice shelves. This research emphasizes the need to integrate biotic factors in models of polar ice dynamics and climate change projections. The study also provides a workflow for snow algae and snowmelt analysis at high resolution over large areas, contributing to a deeper understanding of snowmelt and global sea-level rise.

Indexed as

EutrophicationIce CoverSeasonsSnowAntarctic RegionsBiomassClimate ChangeFreezingAntarctic ice shelfBig earth dataMSISARSnow algaeSnowmelt

Identifiers

PMID40603364
PMCPMC12222683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.