Evidence map›Paper›PMID 41022775›Full record

ArticleScientific data2025

A spatiotemporal dataset of invasive Anadara kagoshimensis and Anadara transversa in the Adriatic Sea.

Marina Chiappi, Cristina Di Muri, Ernesto Azzurro, Francesca Luzi, Ilaria Rosati, Marija Despalatović, Ivan Cvitković, Giuseppe Scarcella

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Marina ChiappiDepartment of Biological, Geological and Environmental Sciences (BIGEA), University of Bologna (UNIBO), Bologna, Italy. marinachiappi@gmail.com.ORCID 0000-0002-9401-2509
Cristina Di MuriNational Research Council (CNR), Research Institute on Terrestrial Ecosystems (IRET), Lecce, Italy.ORCID 0000-0003-4072-0662
Ernesto AzzurroNational Research Council (CNR), Institute for Biological Resources and Marine Biotechnologies (IRBIM), Ancona, Italy.
Francesca LuziDepartment of Biological, Geological and Environmental Sciences (BIGEA), University of Bologna (UNIBO), Bologna, Italy.
Ilaria RosatiNBFC, National Biodiversity Future Center, Palermo, Italy.
Marija DespalatovićInstitute of Oceanography and Fisheries (IOF), Split, Croatia.
Ivan CvitkovićInstitute of Oceanography and Fisheries (IOF), Split, Croatia.
Giuseppe ScarcellaNational Research Council (CNR), Institute for Biological Resources and Marine Biotechnologies (IRBIM), Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to the growing demand for accurate spatial and temporal information on the abundance and distribution of invasive species as required by EU regulations, data on two invasive bivalves have been collected annually through beam trawl surveys in the Adriatic Sea, as part of an international, fishery-independent monitoring programme. The compiled dataset comprises 1,998 records of Anadara kagoshimensis and Anadara transversa located in the Italian and international waters of the Northern and Central Adriatic Sea, and collected from 2008 to 2023. The records from this dataset represent georeferenced information on detections/non-detections including abundance and biomass information per sampled sites. This initiative highlights the potential of leveraging existing spatiotemporal data on invasive species to support their commercial harvesting and inform sustainable management practices, ultimately helping to mitigate their impact on native ecosystems.

Indexed as

BivalviaIntroduced SpeciesAnimalsEcosystemItalyOceans and SeasSpatio-Temporal Analysis

Identifiers

PMID41022775
PMCPMC12480118

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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.