Evidence map›Paper›PMID 40624145›Full record

ArticleScientific reports2025

Combining USV ROV and multimetric indices to assess benthic habitat quality in coastal areas.

Daniele Piazzolla, Simone Bonamano, Marina Penna, Arianna Resnati, Sergio Scanu, Nicola Madonia, Alice Madonia, Giorgio Fersini, Giovanni Coppini, Marco Marcelli and 1 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Daniele PiazzollaCMCC Foundation-Euro-Mediterranean Center on Climate Change, Lecce, Italy. daniele.piazzolla@cmcc.it.
Simone BonamanoCMCC Foundation-Euro-Mediterranean Center on Climate Change, Lecce, Italy.
Marina PennaItalian National Institute for Environmental Protection and Research (ISPRA), Rome, 00144, Italy.
Arianna ResnatiLaboratory of Experimental Oceanology and Marine Ecology, Department of Ecological and Biological sciences DEB, University of Tuscia, Port of Civitavecchia, Civitavecchia, RM, Italy.
Sergio ScanuCMCC Foundation-Euro-Mediterranean Center on Climate Change, Lecce, Italy.
Nicola MadoniaLaboratory of Experimental Oceanology and Marine Ecology, Department of Ecological and Biological sciences DEB, University of Tuscia, Port of Civitavecchia, Civitavecchia, RM, Italy.
Alice MadoniaCMCC Foundation-Euro-Mediterranean Center on Climate Change, Lecce, Italy.
Giorgio FersiniPort Authority System of the Central Northern Tyrrhenian Sea, Civitavecchia, 00053, Italy.
Giovanni CoppiniCMCC Foundation-Euro-Mediterranean Center on Climate Change, Lecce, Italy.
Marco MarcelliCMCC Foundation-Euro-Mediterranean Center on Climate Change, Lecce, Italy.
Viviana PiermatteiCMCC Foundation-Euro-Mediterranean Center on Climate Change, Lecce, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coastal marine ecosystems are subject to interference from all human activities that develop on the coast and on the continental shelf. New monitoring methodologies involving innovative autonomous platforms and synthetic multimetric habitat quality indices could enhance our knowledge about coastal ecosystem responses and contribute to preventing habitat degradation. We assessed the coast-to-offshore extent and ecological status of benthic habitats in three coastal marine areas of the northeastern Tyrrhenian Sea (Italy), evaluating the effectiveness of an integrated remote sensing approach that combined autonomous (Unmanned Surface Vehicle - USV) and remotely operated (Remotely Operated Vehicle - ROV) technologies, along with the application of multimetric habitat quality indices. The results highlighted a moderate habitat quality of the study sites and the usefulness of the proposed methodology for broad application in other coastal areas worldwide, especially in very heterogeneous seabeds. This approach could enhance the capabilities of numerical models and of the Digital Twins of the Oceans (DTOs), providing high-resolution and near real-time accurate habitat quality data.

Identifiers

PMID40624145
PMCPMC12234650

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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.