Evidence map›Paper›PMID 41367947›Full record

ArticleEcology and evolution2025

Improving Large-Scale Population Estimates and Assessments of the Ecological Importance of Three Epifaunal Bivalve Species by Combining Distribution and Abundance Models.

Youk Greeve, Molly C Reamon, Per Bergström, Åsa Strand, Ane T Laugen, Mats Lindegarth

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Youk GreeveDepartment of Marine Sciences - Tjärnö University of Gothenburg Tjärnö Strömstad Sweden.ORCID https://orcid.org/0000-0002-8563-3792
Molly C ReamonDepartment of Natural Sciences, Centre for Coastal Research (CCR) University of Adger Kristiansand Norway.
Per BergströmDepartment of Marine Sciences - Tjärnö University of Gothenburg Tjärnö Strömstad Sweden.ORCID https://orcid.org/0000-0002-3737-6541
Åsa StrandDepartment of Environmental Intelligence IVL Swedish Environmental Research Institute Fiskebäckskil Sweden.
Ane T LaugenDepartment of Natural Sciences, Centre for Coastal Research (CCR) University of Adger Kristiansand Norway.ORCID https://orcid.org/0000-0001-6196-8304
Mats LindegarthDepartment of Marine Sciences - Tjärnö University of Gothenburg Tjärnö Strömstad Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epifaunal bivalves include reef-building organisms that provide several important ecological functions in coastal marine environments. Evaluating the distributional patterns and population sizes is key in assessing the total and relative contribution of species toward these functions and can aid in improving spatial planning and management. In this paper, the use of species distribution and abundance models as a means to improve population size estimates compared to more simplistic methods (i.e., extrapolation of mean densities) was investigated. Gradient boosting models were fitted to predict occurrences and densities of three, both native and invasive, ecologically important bivalve species (blue mussel,

Indexed as

musselsoystersSDMSkagerrakspecies abundance modelsspecies distribution modelsSweden

Identifiers

PMID41367947
PMCPMC12683372

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.