Evidence map›Paper›PMID 41253822›Full record

ArticleScientific data2025

One-year high-frequency environmental and behavioral data from ALAN experience in a French coastal area.

Damien Tran, Audrey Botté, Yannick Geerebaert, Laura Payton

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

4 authors.

Damien TranUniv. Bordeaux, CNRS, Bordeaux INP, EPOC, UMR 5805, F-33120, Arcachon, France. damien.tran@u-bordeaux.fr.ORCID 0000-0002-7432-7765
Audrey BottéUniv. Bordeaux, CNRS, Bordeaux INP, EPOC, UMR 5805, F-33120, Arcachon, France.
Yannick GeerebaertUniv. Bordeaux, CNRS, Bordeaux INP, EPOC, UMR 5805, F-33120, Arcachon, France.
Laura PaytonUniv. Bordeaux, CNRS, Bordeaux INP, EPOC, UMR 5805, F-33120, Arcachon, France.ORCID 0000-0001-5090-0929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the widespread exposure to artificial light at night (ALAN) on coastal ecosystems, its effects are poorly studied, and data remain scarce compared to terrestrial ecosystems. Coastal areas are critical for ecosystem services, providing biodiversity, social, and commercial benefits. To acquire high-quality data on ALAN impacts on coastal ecosystems, we conducted a one-year in situ study in the "Ile aux Oiseaux" site, part of the Arcachon Bay (France), from December 2023 to November 2024. The experimental platforms consisted of two oyster tables: one for the control condition exposed to natural light and one exposed to a skyglow ALAN intensity using underwater LEDs. The impacts of ALAN were assessed using two oyster species (Crassostrea gigas and Ostrea edulis) as sentinel organisms, recording continuously their valve behavior using high-frequency non-invasive valvometer biosensors. To characterize the local environment, the experimental platform was also equipped with multiple sensors for the long-term measurement of light irradiance and additional physical parameters (temperature, water level, salinity, turbidity, conductivity, and low-frequency sound).

Indexed as

CrassostreaEcosystemLightLightingAnimalsFranceOstrea

Identifiers

PMID41253822
PMCPMC12627416

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.