The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Global long-term observations of coastal erosion and accretion
Open accessAbstract
Changes in coastal morphology have broad consequences for the sustainability of coastal communities, structures and ecosystems. Although coasts are monitored locally in many places, understanding long-term changes at a global scale remains a challenge. Here we present a global and consistent evaluation of coastal morphodynamics over 32 years (1984–2015) based on satellite observations. Land losses and gains were estimated from the changes in water presence along more than 2 million virtual transects. We find that the overall surface of eroded land is about 28,000 km 2, twice the surface of gained land, and that often the extent of erosion and accretion is in the order of km. Anthropogenic factors clearly emerge as the dominant driver of change, both as planned exploitation of coastal resources, such as building coastal structures, and as unforeseen side effects of human activities, for example the installment of dams, irrigation systems and structures that modify the flux of sediments, or the clearing of coastal ecosystems, such as mangrove forests. Another important driver is the occurrence of natural disasters such as tsunamis and extreme storms. The observed global trend in coastal erosion could be enhanced by Sea Level Rise and more frequent extreme events under a changing climate.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
High-resolution mapping of global surface water and its long-term changes
Pekel, J.-F., Cottam, A., Gorelick, N., & Belward, A. S. (2016) · Nature · doi:10.1038/nature20584 · Cited by 5,513
Self-citation
Cited by
Exploring the multiple land degradation pathways across the planet
Prăvălie, R. (2021) · Earth-Science Reviews · doi:10.1016/j.earscirev.2021.103689 · Cited by 322
Impact of mean sea-level rise on the long-term evolution of a mega-nourishment
Ribas, F., Portos-Amill, L., Falqués, A., Arriaga, J., Marcos, M., & Ruessink, G. (2023) · Climatic Change · doi:10.1007/s10584-023-03503-6 · Cited by 21
Ideki, O., & Ajoku, O. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12071081 · Cited by 10
Exploring the bio-geomorphological evolution of mega nourishments with a cellular automata model
Teixeira, M., Horstman, E. M., & Wijnberg, K. M. (2024) · Geomorphology · doi:10.1016/j.geomorph.2024.109371 · Cited by 4
Metadata
- Authors
- Mentaschi, L., Vousdoukas, M. I., Pekel, J.-F., Voukouvalas, E., & Feyen, L.
- Venue
- Scientific Reports
- Published
- 2018-08-27
- Volume
- 8
- Issue
- 1
- Pages
- 12876-12876
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2888493296
- Cited by
- 795
- References
- 1
- FWCI
- 43.66
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global long-term observations of coastal erosion and accretion. https://app.cochat.ai/papers/10.1038/s41598-018-30904-w
- The paper
- Mentaschi, L., Vousdoukas, M. I., Pekel, J.-F., Voukouvalas, E., & Feyen, L. (2018). Global long-term observations of coastal erosion and accretion. Scientific Reports. https://doi.org/10.1038/s41598-018-30904-w
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.