Evidence map›Paper›PMID 40199899›Full record

ArticleScientific reports2025

Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service assessment.

Massimiliano Marino, Martin J Baptist, Ahmad I K Alkharoubi, Sofia Nasca, Luca Cavallaro, Enrico Foti, Rosaria Ester Musumeci

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. 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

7 authors.

Massimiliano MarinoDepartment of Civil Engineering and Architecture, University of Catania, Via Santa Sofia 64, Catania, Italy. massimiliano.marino@unict.it.
Martin J BaptistWageningen Marine Research, Wageningen University and Research, Den Helder, The Netherlands.
Ahmad I K AlkharoubiDepartment of Civil Engineering and Architecture, University of Catania, Via Santa Sofia 64, Catania, Italy.
Sofia NascaDepartment of Civil Engineering and Architecture, University of Catania, Via Santa Sofia 64, Catania, Italy.
Luca CavallaroDepartment of Civil Engineering and Architecture, University of Catania, Via Santa Sofia 64, Catania, Italy.
Enrico FotiDepartment of Civil Engineering and Architecture, University of Catania, Via Santa Sofia 64, Catania, Italy.
Rosaria Ester MusumeciDepartment of Civil Engineering and Architecture, University of Catania, Via Santa Sofia 64, Catania, Italy.

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) H2020-LC-GD-2020; Proposal no. 101037097
6 · The paper itself

Abstract

Nature-based Solutions (NbS) are increasingly recognized as effective measures for mitigating flood risks and enhancing climate change adaptation. However, evaluating their efficacy in delivering flood risk reduction ecosystem service (FRR-ESS) is usually limited by reliance on qualitative, expert-based "quick-scan" scoring methods. While already challenging for present-day evaluations, this limitation becomes even more significant when addressing future climate scenarios, introducing deep uncertainties in the evaluation. The present study introduces a model-based framework to quantify FRR-ESS provided by coastal NbS, which integrates expert-based assessments with quantitative results from an eco-hydro-morphodynamic numerical model. The model enables a comparative evaluation of individual and combined effects of NbS following a Building Blocks approach. By integrating habitat map change prediction in the evaluation, NbS flood reduction response to present and future storm scenarios (i.e. wave climate and sea level rise) are investigated. The methodology is applied to a Mediterranean coastal lagoon in Sicily (Italy), and can be easily adapted to diverse coastal ecosystems. Our findings underscore the significant role of coastal habitats in reducing flood risk and highlight the importance of integrating physically-based modelling into FRR-ESS evaluation. This approach provides a robust and flexible tool for policymakers and stakeholders to make informed decisions that support both ecological sustainability and disaster risk reduction.

Identifiers

PMID40199899
PMCPMC11978945

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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.