Evidence map›Paper›PMID 38446890›Full record

ArticleScience advances2024

Unseen overlap between fishing vessels and top predators in the northeast Pacific.

Heather Welch, Tyler Clavelle, Timothy D White, Megan A Cimino, David Kroodsma, Elliott L Hazen

Abstract read
In one paragraph

Article in Science advances, 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. Fishing fleets as ecosystem sentinels.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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.

Heather WelchInstitute of Marine Science, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0002-5464-1140
Tyler ClavelleGlobal Fishing Watch, Washington, DC, USA.ORCID 0000-0002-2155-2459
Timothy D WhiteGlobal Fishing Watch, Washington, DC, USA.ORCID 0000-0001-8711-7698
Megan A CiminoInstitute of Marine Science, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0002-1715-2903
David KroodsmaGlobal Fishing Watch, Washington, DC, USA.ORCID 0000-0002-1752-9141
Elliott L HazenInstitute of Marine Science, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID 0000-0002-0412-7178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessments of human-wildlife risk associated with industrial fishing are critical for the conservation of marine top predators. Automatic Identification System (AIS) data provide a means of mapping fishing and estimating human-wildlife risk; however, risk can be obscured by gaps in the AIS record due to technical issues and intentional disabling. We assessed the extent to which unseen fishing vessel activity due to AIS gaps obscured estimates of overlap between fishing vessel activity and 14 marine predators including sharks, tunas, mammals, seabirds, and critically endangered leatherback turtles. Among vessels equipped with AIS in the northeast Pacific, up to 24% of total predator overlap with fishing vessel activity was unseen, and up to 36% was unseen for some individual species. Waters near 10°N had high unseen overlap with sharks yet low reported shark catch, revealing potential discrepancies in self-reported datasets. Accounting for unseen fishing vessel activity illuminates hidden human-wildlife risk, demonstrating challenges and solutions for transparent and sustainable marine fisheries.

Indexed as

HuntingSharksAnimalsAnimals, WildFisheriesHumansIndustryMammalsSelf Report

Identifiers

PMID38446890
PMCPMC10917345

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.