Evidence map›Paper›PMID 36535998›Full record

ArticleScientific reports2022

Improvement of a coastal vulnerability index and its application along the Calabria Coastline, Italy.

Daniela Pantusa, Felice D'Alessandro, Ferdinando Frega, Antonio Francone, Giuseppe Roberto Tomasicchio

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Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

5 authors.

Daniela PantusaFaculty of Engineering, eCampus University, 22060, Novedrate, CO, Italy. daniela.pantusa@uniecampus.it.
Felice D'AlessandroDepartment of Environmental Science and Policy, University of Milan, 20122, Milan, Italy.
Ferdinando FregaDepartment of Civil Engineering, University of Calabria, 87036, Arcavacata di Rende, CS, Italy.
Antonio FranconeDepartment of Engineering for Innovation, University of Salento, 73100, Lecce, Italy.
Giuseppe Roberto TomasicchioDepartment of Engineering for Innovation, University of Salento, 73100, Lecce, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present paper further develops a coastal vulnerability index formulation (CVI) previously proposed by the authors by integrating a new variable and redefining three variables to improve the suitability of the index for low-lying coasts. Eleven variables are divided into three typological groups: geological, hydro-physical process and vegetation. The geological variables are: geomorphology, shoreline erosion/accretion rates, coastal slope, emerged beach width, and dune. The hydro-physical process group includes: river discharge, sea-level change, mean significant wave height and mean tide range. The vegetation variables are: vegetation behind the back-beach and coverage of Posidonia oceanica. The index was applied to a stretch of the Ionian coast in the province of Crotone in the Calabria region (Southern Italy), and a vulnerability map was produced. A geography information system (GIS) platform was used to better process the data. For the case study area, the most influential variables are shoreline erosion/accretion rates, coastal slope, emerged beach width, dune, vegetation behind the back-beach, and coverage of Posidonia oceanica. The most vulnerable transects are those near urban areas characterized by the absence of dunes and vegetation. Statistical and sensitivity analyses were performed, and the proposed CVI was compared with the previous formulation proposed by the authors and with two other CVI methods present in the literature.

Indexed as

Geographic Information SystemsRiversItaly

Identifiers

PMID36535998
PMCPMC9763354

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