Evidence map›Paper›PMID 40260150›Full record

ArticleEcology and evolution2025

Spatial Change of Dominant Baltic Sea Demersal Fish Across Two Decades.

Liam MacNeil, Frane Madiraca, Saskia Otto, Marco Scotti

Abstract read
In one paragraph

Article in Ecology and evolution, 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.

Liam MacNeilMarine Ecology Research Division GEOMAR Helmholtz Centre for Ocean Research Kiel Kiel Germany.ORCID https://orcid.org/0000-0002-4125-5240
Frane MadiracaInstitute for Marine Ecosystem and Fisheries Science University of Hamburg Hamburg Germany.ORCID https://orcid.org/0009-0005-6482-5081
Saskia OttoInstitute for Marine Ecosystem and Fisheries Science University of Hamburg Hamburg Germany.
Marco ScottiMarine Ecology Research Division GEOMAR Helmholtz Centre for Ocean Research Kiel Kiel Germany.ORCID https://orcid.org/0000-0002-0775-6148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The arange and biomass distribution of marine fish species offer insights into their underlying niches. Quantitative data are rare compared to occurrences and remain underused in species distribution models (SDMs) to explore realized niches-the actual space occupied by a species shaped by abiotic and biotic factors. Local densities drive differences in species contributions to ecological processes and ecosystem function rather than through presence alone. If a species growth rate is strongly controlled by macro-environmental conditions, then predicting geographical abundance or densities should be possible. We collated 20 years (2001-2020) of standardized scientific bottom trawl data to fit several versions of hierarchical generalized additive models using biomass (kg km

Indexed as

biogeographybiomass distribution modelshierarchical generalized additive modelslarge marine ecosystem

Identifiers

PMID40260150
PMCPMC12011422

What OpenQuestion holds

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LicenceCC BY
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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.