Evidence map›Paper›PMID 39639017›Full record

ArticleNature communications2024

Coastal hardening and what it means for the world's sandy beaches.

Khin Nawarat, Johan Reyns, Michalis I Vousdoukas, Trang Minh Duong, Etiënne Kras, Roshanka Ranasinghe

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Khin NawaratDepartment of Coastal and Urban Risk & Resilience, IHE Delft Institute for Water Education, Delft, The Netherlands. k.nawarat@un-ihe.org.ORCID http://orcid.org/0009-0003-2741-8896
Johan ReynsDepartment of Coastal and Urban Risk & Resilience, IHE Delft Institute for Water Education, Delft, The Netherlands.ORCID http://orcid.org/0000-0002-0849-1532
Michalis I VousdoukasDepartment of Marine Sciences, University of Aegean, University Hill, Mytilene, Greece.ORCID http://orcid.org/0000-0003-2655-6181
Trang Minh DuongDepartment of Coastal and Urban Risk & Resilience, IHE Delft Institute for Water Education, Delft, The Netherlands.ORCID http://orcid.org/0000-0003-4193-0653
Etiënne KrasResilient Ports and Coasts, Deltares, Delft, The Netherlands.ORCID http://orcid.org/0000-0001-7507-5128
Roshanka RanasingheDepartment of Coastal and Urban Risk & Resilience, IHE Delft Institute for Water Education, Delft, The Netherlands.ORCID http://orcid.org/0000-0001-6234-2063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea level rise is expected to cause chronic shoreline retreat, affecting over 10% of the world's population in low-elevation coastal zones (LECZ). Sandy beaches supported by man-made structures are more vulnerable to substantial beach area loss due to restricted landward migration, affecting ecosystem services. However, the global extent of 'hardened' sandy coastlines at risk of 'severe beach loss' has not been comprehensively quantified. Here, using products and geospatial datasets derived from satellite imagery, we find that, 33% of the world's sandy coastline is currently hardened. Analysis of the results by IPCC AR6 regions show that the most hardened coastal regions are the Bay of Bengal, Western & Central Europe, the Mediterranean, Western North America, and East Asia. Linking coastal hardening information with existing shoreline retreat projections, we find that under SSP5-8.5, up to 26% of the world's sandy coastline (~52,100 km) is likely to face severe beach loss by the end of the 21

Identifiers

PMID39639017
PMCPMC11621560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.