Evidence map›Paper›PMID 38844510›Full record

ArticleScientific reports2024

Satellite-derived sandy shoreline trends and interannual variability along the Atlantic coast of Europe.

Bruno Castelle, Etiënne Kras, Gerd Masselink, Tim Scott, Aikaterini Konstantinou, Arjen Luijendijk

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

6 authors.

Bruno CastelleUniv. Bordeaux, CNRS, Bordeaux INP, EPOC UMR 5805, 33600, Pessac, France. bruno.castelle@u-bordeaux.fr.
Etiënne KrasDeltares, Boussinesqweg, 2629 HV, Delft, The Netherlands.
Gerd MasselinkCoastal Processes Research Group, School of Biological and Marine Sciences, University of Plymouth, Plymouth, PL4 8AA, UK.
Tim ScottCoastal Processes Research Group, School of Biological and Marine Sciences, University of Plymouth, Plymouth, PL4 8AA, UK.
Aikaterini KonstantinouCoastal Processes Research Group, School of Biological and Marine Sciences, University of Plymouth, Plymouth, PL4 8AA, UK.
Arjen LuijendijkDeltares, Boussinesqweg, 2629 HV, Delft, The Netherlands.

Funding

Agence Nationale de la Recherche,France ANR-21-CE01-0015Deltares Strategic Research Programme 'Seas and Coastal Zones'UK Natural Environment Research Council NE/M004996/1
6 · The paper itself

Abstract

Monitoring sandy shoreline evolution from years to decades is critical to understand the past and predict the future of our coasts. Optical satellite imagery can now infer such datasets globally, but sometimes with large uncertainties, poor spatial resolution, and thus debatable outcomes. Here we validate and analyse satellite-derived-shoreline positions (1984-2021) along the Atlantic coast of Europe using a moving-averaged approach based on coastline characteristics, indicating conservative uncertainties of long-term trends around 0.4 m/year and a potential bias towards accretion. We show that west-facing open coasts are more prone to long-term erosion, whereas relatively closed coasts favor accretion, although most of computed trends fall within the range of uncertainty. Interannual shoreline variability is influenced by regionally dominant atmospheric climate indices. Quasi-straight open coastlines typically show the strongest and more alongshore-uniform links, while embayed coastlines, especially those not exposed to the dominant wave climate, show weaker and more variable correlation with the indices. Our results provide a spatial continuum between previous local-scale studies, while emphasizing the necessity to further reduce satellite-derived shoreline trend uncertainties. They also call for applications based on a relevant averaging approach and the inclusion of coastal setting parameters to unravel the forcing-response spectrum of sandy shorelines globally.

Indexed as

Climate indicesCoastal settingsInterannual variabilityLong-term erosionSandy coastSatellite-derived shoreline

Identifiers

PMID38844510
PMCPMC11637074

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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.