Evidence map›Paper›PMID 39881792›Full record

ArticleRoyal Society open science2025

Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (

Elizabeth A Mittell, Camille A Leblanc, Bjarni K Kristjánsson, Moira M Ferguson, Katja Räsänen, Michael B Morrissey

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Royal Society open science, 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.

Elizabeth A MittellDepartment of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, Iceland.ORCID https://orcid.org/0000-0002-5801-614X
Camille A LeblancDepartment of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, Iceland.
Bjarni K KristjánssonDepartment of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, Iceland.
Moira M FergusonDepartment of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.
Katja RäsänenDepartment of Aquatic Ecology, EAWAG and Institute of Integrative Biology, ETH-Zurich, Zurich, Switzerland.
Michael B MorrisseySchool of Biology, University of St Andrews, St Andrews, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a key life-history trait, growth rates are often used to measure individual performance and to inform parameters in demographic models. Furthermore, intraspecific trait variation generates diversity in nature. Therefore, partitioning out and understanding drivers of spatiotemporal variation in growth rate is of fundamental interest in ecology and evolution. However, this has rarely been attempted owing to the amount of individual-level data required through both time and space, and issues with missing data in important covariates. Here, we implemented a Bayesian state-space model using individual-level data from 20 populations of Arctic charr (

Indexed as

Bayesian state-space modellingcapture–mark–recapturelife-history traitsmissing dataspatial and temporal variation

Identifiers

PMID39881792
PMCPMC11774588

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.