Evidence map›Paper›PMID 39193898›Full record

ArticleJournal of fish biology2024

Predicting population-level impacts of projected climate heating on a temperate freshwater fish.

Kate S Mintram, A Ross Brown, Samuel K Maynard, Pernille Thorbek, Charles R Tyler

Abstract read
In one paragraph

Article in Journal of fish biology, 2024. 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

5 authors.

Kate S MintramDepartment of Computer Science, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK.ORCID https://orcid.org/0000-0001-7180-9200
A Ross BrownBiosciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Samuel K MaynardGlobal Safety, Health and Environment Astrazeneca, Cambridge, UK.
Pernille ThorbekAgricultural Solutions - Ecotoxicology, BASF SE, APD/EE, Limburgerhof, Germany.
Charles R TylerBiosciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate heating has the potential to drive changes in ecosystems at multiple levels of biological organization. Temperature directly affects the inherent physiology of plants and animals, resulting in changes in rates of photosynthesis and respiration, and trophic interactions. Predicting temperature-dependent changes in physiological and trophic processes, however, is challenging because environmental conditions and ecosystem structure vary across biogeographical regions of the globe. To realistically predict the effects of projected climate heating on wildlife populations, mechanistic tools are required to incorporate the inherent physiological effects of temperature changes, as well as the associated effects on food availability within and across comparable ecosystems. Here we applied an agent-based bioenergetics model to explore the combined effects of projected temperature increases for 2100 (1.4, 2.7, and 4.4°C), and associated changes in prey availability, on three-spined stickleback (Gasterosteus aculeatus) populations representing latitudes 50, 55, and 60°N. Our results showed a decline in population density after a simulated 1.4°C temperature increase at 50°N. In all other modeled scenarios there was an increase (inflation) in population density and biomass (per unit area) with climate heating, and this inflation increased with increasing latitude. We conclude that agent-based bioenergetics models are valuable tools in discerning the impacts of climate change on wild fish populations, which play important roles in aquatic food webs.

Indexed as

Climate ChangeAnimalsBiomassEcosystemEnergy MetabolismFood ChainFresh WaterModels, BiologicalPopulation DensitySmegmamorphaagent‐based modelingbioenergeticsIPCCmetabolic theorythree‐spined sticklebacktrophic interactions

Identifiers

PMID39193898
PMCPMC11650920

What OpenQuestion holds

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LicenceCC BY
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.