Evidence map›Paper›PMID 35551195›Full record

ArticleNature communications2022

Skilful decadal-scale prediction of fish habitat and distribution shifts.

Mark R Payne, Gokhan Danabasoglu, Noel Keenlyside, Daniela Matei, Anna K Miesner, Shuting Yang, Stephen G Yeager

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

7 authors.

Mark R PayneDanish Meteorological Institute, Copenhagen, Denmark. mapa@dmi.dk.ORCID 0000-0001-5795-2481
Gokhan DanabasogluNational Center for Atmospheric Research, Boulder, CO, USA.
Noel KeenlysideGeophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway.ORCID 0000-0002-8708-6868
Daniela MateiMax Planck Institute for Meteorology, Hamburg, Germany.
Anna K MiesnerHelmholtz-Zentrum Hereon, Institute of Coastal Systems - Analysis and Modeling, Geesthacht, Germany.ORCID 0000-0002-2213-4312
Shuting YangDanish Meteorological Institute, Copenhagen, Denmark.ORCID 0000-0002-0147-2056
Stephen G YeagerNational Center for Atmospheric Research, Boulder, CO, USA.ORCID 0000-0003-0268-9895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many fish and marine organisms are responding to our planet's changing climate by shifting their distribution. Such shifts can drive international conflicts and are highly problematic for the communities and businesses that depend on these living marine resources. Advances in climate prediction mean that in some regions the drivers of these shifts can be forecast up to a decade ahead, although forecasts of distribution shifts on this critical time-scale, while highly sought after by stakeholders, have yet to materialise. Here, we demonstrate the application of decadal-scale climate predictions to the habitat and distribution of marine fish species. We show statistically significant forecast skill of individual years that outperform baseline forecasts 3-10 years ahead; forecasts of multi-year averages perform even better, yielding correlation coefficients in excess of 0.90 in some cases. We also demonstrate that the habitat shifts underlying conflicts over Atlantic mackerel fishing rights could have been foreseen. Our results show that climate predictions can provide information of direct relevance to stakeholders on the decadal-scale. This tool will be critical in foreseeing, adapting to and coping with the challenges of a changing future climate, particularly in the most ocean-dependent nations and communities.

Indexed as

Climate ChangePerciformesAnimalsAquatic OrganismsClimateEcosystem

Identifiers

PMID35551195
PMCPMC9098506

What OpenQuestion holds

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LicenceCC BY
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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.