Evidence map›Paper›PMID 35853904›Full record

ArticleScientific data2022

A global, historical database of tuna, billfish, and saury larval distributions.

Kristine Camille V Buenafe, Jason D Everett, Daniel C Dunn, James Mercer, Iain M Suthers, Hayden T Schilling, Charles Hinchliffe, Alvise Dabalà, Anthony J Richardson

Erratum issuedAbstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Kristine Camille V BuenafeSchool of Earth and Environmental Sciences, The University of Queensland, St Lucia, QLD, 4067, Australia. tinbuenafe@gmail.com.ORCID http://orcid.org/0000-0002-1643-5557
Jason D EverettSchool of Mathematics and Physics, The University of Queensland, St Lucia, QLD, 4067, Australia.ORCID http://orcid.org/0000-0002-6681-8054
Daniel C DunnSchool of Earth and Environmental Sciences, The University of Queensland, St Lucia, QLD, 4067, Australia.ORCID http://orcid.org/0000-0001-8932-0681
James MercerCentre for Marine Science and Innovation (CMSI), The University of New South Wales, Sydney, NSW, 2052, Australia.ORCID http://orcid.org/0000-0002-2197-5320
Iain M SuthersCentre for Marine Science and Innovation (CMSI), The University of New South Wales, Sydney, NSW, 2052, Australia.ORCID http://orcid.org/0000-0002-9340-7461
Hayden T SchillingCentre for Marine Science and Innovation (CMSI), The University of New South Wales, Sydney, NSW, 2052, Australia.ORCID http://orcid.org/0000-0002-7291-347X
Charles HinchliffeCentre for Marine Science and Innovation (CMSI), The University of New South Wales, Sydney, NSW, 2052, Australia.ORCID http://orcid.org/0000-0001-9625-4088
Alvise DabalàSchool of Earth and Environmental Sciences, The University of Queensland, St Lucia, QLD, 4067, Australia.ORCID http://orcid.org/0000-0001-7567-1181
Anthony J RichardsonSchool of Mathematics and Physics, The University of Queensland, St Lucia, QLD, 4067, Australia.ORCID http://orcid.org/0000-0002-9289-7366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowing the distribution of fish larvae can inform fisheries science and resource management in several ways, by: 1) providing information on spawning areas; 2) identifying key areas to manage and conserve; and 3) helping to understand how fish populations are affected by anthropogenic pressures, such as overfishing and climate change. With the expansion of industrial fishing activity after 1945, there was increased sampling of fish larvae to help better understand variation in fish stocks. However, large-scale larval records are rare and often unavailable. Here we digitize data from Nishikawa et al. (1985), which were collected from 1956-1981 and are near-global (50°N-50°S), seasonal distribution maps of fish larvae of 18 mainly commercial pelagic taxa of the families Scombridae, Xiphiidae, Istiophoridae, Scombrolabracidae, and Scomberesocidae. Data were collected from the Pacific, Atlantic, and Indian Oceans. We present four seasonal 1° × 1° resolution maps per taxa representing larval abundance per grid cell and highlight some of the main patterns. Data are made available as delimited text, raster, and vector files.

Indexed as

FisheriesTunaAnimalsClimate ChangeConservation of Natural ResourcesFishesLarva

Identifiers

PMID35853904
PMCPMC9296635

What OpenQuestion holds

Textmetadata
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.