Evidence map›Paper›PMID 42404068›Full record

ArticleBiodiversity data journal2026

First database of invasive crayfish in north-western Italian lakes.

Lyudmila Kamburska, Silvia Zaupa, Marco Orlandi, Laura Garzoli, Angela Boggero

Abstract read
In one paragraph

Article in Biodiversity data journal, 2026. 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

5 authors.

Lyudmila KamburskaNational Research Council (CNR) - Water Research Institute (IRSA), Verbania, Italy National Research Council (CNR) - Water Research Institute (IRSA) Verbania Italy.ORCID https://orcid.org/0000-0001-5071-6953
Silvia ZaupaNational Research Council (CNR) - Water Research Institute (IRSA), Taranto, Italy National Research Council (CNR) - Water Research Institute (IRSA) Taranto Italy.
Marco OrlandiNational Research Council (CNR) - Water Research Institute (IRSA), Benthic Invertebrates Group (BIG), Verbania, Italy National Research Council (CNR) - Water Research Institute (IRSA), Benthic Invertebrates Group (BIG) Verbania Italy.
Laura GarzoliNational Research Council (CNR) - Water Research Institute (IRSA), Verbania, Italy National Research Council (CNR) - Water Research Institute (IRSA) Verbania Italy.ORCID https://orcid.org/0000-0003-1353-9120
Angela BoggeroNational Research Council (CNR) - Water Research Institute (IRSA), Benthic Invertebrates Group (BIG), Verbania, Italy National Research Council (CNR) - Water Research Institute (IRSA), Benthic Invertebrates Group (BIG) Verbania Italy.ORCID https://orcid.org/0000-0002-7534-3126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This data paper presents 367 georeferenced occurrence records of invasive crayfish collected from 17 lakes in north-western Italy between 2017 and 2025. The database comprises four datasets in the standardised Darwin Core Archive format (DwC-A) and is openly accessible through the Global Biodiversity Information Facility (GBIF). We document the datasets, associated metadata, and the projects supporting data acquisition, rather than presenting research findings. All records derive from sampling conducted in submontane lakes in two Italian regions (Piedmont and Lombardy). The lakes represent different origins (fluvial, glacial and tectonic) and typologies, ranging from large, deep systems to small, shallow waterbodies. Two study lakes (Maggiore and Orta) are part of the national Long-Term Ecological Research network (LTER Italy), while the remaining lakes are designated as Special Areas of Conservation, Special Protection Areas or belong to the European Union's Natura 2000 network under the Birds Directive. By making these data publicly available, this work supports global efforts to mobilise FAIR (Findable, Accessible, Interoperable and Reusable) biodiversity data on invasive species, facilitating regional-scale monitoring and management. New information: Newly georeferenced records of three invasive crayfish species -

Indexed as

distributionDwC-AGBIFinvasive crayfishItalyoccurrenceplain lakes

Identifiers

PMID42404068
PMCPMC13332391

What OpenQuestion holds

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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.