Evidence map›Paper›PMID 39478107›Full record

ArticleScientific reports2024

The predictability of fluctuating environments shapes the thermal tolerance of marine ectotherms and compensates narrow safety margins.

Marco Fusi, Alberto Barausse, Jenny Marie Booth, Erica Chapman, Daniele Daffonchio, William Sanderson, Karen Diele, Folco Giomi

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Marco Fusi *Dove Marine Laboratory, School of Natural and Environmental Sciences, Newcastle University, Newcastle, NE1 7RU, UK. marco.fusi@newcastle.ac.uk.
Alberto BarausseDepartment of Biology, University of Padua, Via U. Bassi 58/B, 35131, Padua, Italy.
Jenny Marie BoothJoint Nature Conservation Committee, Quay House, 2 East Station Road, Fletton Quays, Peterborough, PE2 8YY, UK.
Erica ChapmanSt Abbs Marine Station, St Abbs, UK.
Daniele DaffonchioKing Abdullah University of Science and Technology (KAUST), Red Sea Research Center (RSRC), 23955-6900, Thuwal, Saudi Arabia.
William SandersonCentre for Marine Biodiversity and Biotechnology, ILES, EGIS, Heriot-Watt University, Edinburgh, UK.
Karen DieleCentre for Conservation and Restoration Science, Edinburgh Napier University, Sighthill Campus, Edinburgh, UK.
Folco Giomi *Department of Biology, University of Rome Tor Vergata, Rome, Italy. folcog@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquatic species living in productive coastal habitats with abundant primary producers have evolved in highly dynamic diel and seasonally fluctuating environments in terms of, for example, water temperature and dissolved oxygen. However, how environmental fluctuations shape the thermal tolerance of marine species is still poorly understood. Here we hypothesize that the degree of predictability of the diel environmental fluctuations in the coastal area can explain the thermal response of marine species. To test this hypothesis, we measured the thermal tolerance of 17 species of marine ectotherm from tropical, warm temperate and cold temperate latitudes under two levels of oxygen (around saturation and at supersaturation), and relate the results to their site-specific temperature and oxygen fluctuation and their environmental predictability. We demonstrate that oxygen and temperature fluctuations at tropical latitudes have a higher predictability than those at warm and cold temperate latitudes. Further, we show that marine species that are adapted to high predictability have the potential to tune their thermal performance when exposed to oxygen supersaturation, despite being constrained within a narrow safety margin. We advocate that the predictability of the environmental fluctuation needs to be considered when measuring and forecasting the response of marine animals to global warming.

Indexed as

Aquatic OrganismsEcosystemAnimalsGlobal WarmingOxygenTemperatureThermotoleranceOxygenBiogeographyCircadian cycleClimate sensitivityMacro-physiologyPhenotypic plasticity

Identifiers

PMID39478107
PMCPMC11526141

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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.