Evidence map›Paper›PMID 41735384›Full record

ArticleScientific reports2026

Coastlines retreat tipping point under storm climate changes.

Marius Aparicio, Rafael Almar, Laurent Lacaze, Nicolas Robin

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Marius AparicioUniv Toulouse, Toulouse INP, CNRS, IMFT, Toulouse, France. marius.aparicio@imft.fr.
Rafael AlmarLEGOS (CNRS-IRD-CNES-University of Toulouse), Toulouse, France.
Laurent LacazeUniv Toulouse, Toulouse INP, CNRS, IMFT, Toulouse, France.
Nicolas RobinCEFREM Université de Perpignan Via Domitia, 52 Avenue Paul Alduy, Perpignan, 66000, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Projected changes in ocean–atmosphere coupling under global warming suggest an intensification of storm climates, which, combined with sea-level rise, poses profound challenges to the resilience of sandy shorelines. Therefore, the definition of relevant indicators assessing beach response regimes to wave climate is crucial for future forecasts Here, we analyze 23 years of satellite-derived shoreline positions together with offshore wave data to quantify storm-induced erosion and post-storm recovery tendencies at synoptic scales. Our approach integrates statistically robust storm composites, compared against in situ observations from six sites worldwide, and demonstrates that daily storm-induced shoreline dynamics can be inferred from monthly global shoreline datasets. By extending the analysis using 60-year of wave reanalysis, we identify a critical threshold beyond which shoreline evolution shifts from a seasonal to a storm-dominated regime, leading to persistent erosion trajectories. Since the late 1950s, the proportion of storm-dominated beaches has increased by ∼2% globally, with pronounced hot-spots emerging. While local beach morphology remain essential to fully resolve coastal dynamics, our findings reveal coherent large-scale tendencies that complement site-specific surveys and provide a global framework to guide targeted field efforts. These results highlight the pivotal role of storm regime shifts in shaping the future evolution of sandy shorelines.

Identifiers

PMID41735384
PMCPMC13031857

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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.