Evidence map›Paper›PMID 42898236›Full record

ReviewiScience2026

Offshore wind farm impacts on marine fauna across taxa and ecological levels: A global review.

Gabriella La Manna, Mariangela Moro Merella, Alessia Crobu, Arianna Pansini, Giulia Ceccherelli

Abstract readReview
In one paragraph

Review in iScience, 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.

Gabriella La MannaUniversità di Sassari, Dipartimento di Scienze Chimiche, Fisiche, Matematiche e Naturali, Via Vienna 4, 07100 Sassari, Italy.
Mariangela Moro MerellaUniversità di Sassari, Dipartimento di Scienze Chimiche, Fisiche, Matematiche e Naturali, Via Vienna 4, 07100 Sassari, Italy.
Alessia CrobuUniversità di Sassari, Dipartimento di Scienze Chimiche, Fisiche, Matematiche e Naturali, Via Vienna 4, 07100 Sassari, Italy.
Arianna PansiniUniversità di Sassari, Dipartimento di Scienze Chimiche, Fisiche, Matematiche e Naturali, Via Vienna 4, 07100 Sassari, Italy.
Giulia CeccherelliUniversità di Sassari, Dipartimento di Scienze Chimiche, Fisiche, Matematiche e Naturali, Via Vienna 4, 07100 Sassari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expansion of offshore wind farms (OWFs) is central to global decarbonization strategies, yet their effects on marine biodiversity are only partially understood. This systematic review synthesizes 221 publications up to June 2025 to assess the ecological impacts of OWFs on marine fauna living below the sea surface. The evidence base is uneven, heavily focused on North European waters, fish, and invertebrates, while expanding OWF regions and marine mammals remain underrepresented. Most studies examine short-term, individual-level responses, limiting inference on long-term effects. Impacts vary widely by stressor, taxon, and biological outcome. Invertebrates often show positive responses linked to reef effects, though key functional traits are vulnerable. Fish responses are largely neutral except under noise, while marine mammals exhibit the most consistent negative impacts. The impact score developed here highlights taxon-specific vulnerability and offers a scalable risk-assessment tool for data-poor regions. The review calls for standardized, long-term field monitoring to support OWF expansion while safeguarding biodiversity.

Indexed as

global reviewimpactimpact scorerenewable energywind farmwind power

Identifiers

PMID42898236
PMCPMC13677416

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.