Evidence map›Paper›PMID 33199620›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Consequences of seafood mislabeling for marine populations and fisheries management.

Kailin Kroetz, Gloria M Luque, Jessica A Gephart, Sunny L Jardine, Patrick Lee, Katrina Chicojay Moore, Cassandra Cole, Andrew Steinkruger, C Josh Donlan

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.1field-weighted citation impact, top 3% of its field
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

22 citing papers in PubMed, 109 citations in OpenAlex.

  1. Article
  2. Article
  3. The UK's expanding global reach for seafood over 120-years.Reviews in fish biology and fisheries · 2025
    Article
  4. A probabilistic approach to estimating timber harvest location.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

9 authors at 5 institutions in 1 country.

Kailin KroetzSchool of Sustainability, Arizona State University, Tempe, AZ 85287-5502; kailin.kroetz@asu.edu.
Gloria M LuqueAdvanced Conservation Strategies, Midway, UT 84049.
Jessica A GephartEnvironmental Science, American University, Washington, DC 20016.ORCID 0000-0001-6836-9291
Sunny L JardineSchool of Marine & Environmental Affairs, University of Washington, Seattle, WA 98105.
Patrick LeeResources for the Future, Washington, DC 20036.
Katrina Chicojay MooreResources for the Future, Washington, DC 20036.
Cassandra ColeDepartment of Economics, Harvard University, Cambridge, MA 02138.
Andrew SteinkrugerResources for the Future, Washington, DC 20036.
C Josh DonlanAdvanced Conservation Strategies, Midway, UT 84049.
Resources For The Future · USAmerican University · USCornell University · USHarvard University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, seafood mislabeling has been increasingly documented, raising public concern over the identity, safety, and sustainability of seafood. Negative outcomes from seafood mislabeling are suspected to be substantial and pervasive as seafood is the world's most highly traded food commodity. Here we provide empirical systems-level evidence that enabling conditions exist for seafood mislabeling in the United States (US) to lead to negative impacts on marine populations and support consumption of products from poorly managed fisheries. Using trade, production, and mislabeling data, we determine that substituted products are more likely to be imported than the product listed on the label. We also estimate that about 60% of US mislabeled apparent consumption associated with the established pairs involves products that are exclusively wild caught. We use these wild-caught pairs to explore population and management consequences of mislabeling. We find that, compared to the product on the label, substituted products come from fisheries with less healthy stocks and greater impacts of fishing on other species. Additionally, substituted products are from fisheries with less effective management and with management policies less likely to mitigate impacts of fishing on habitats and ecosystems compared with the label product. While we provide systematic evidence of environmental impacts from food fraud, our results also highlight the current challenges with production, trade, and mislabeling data, which increase the uncertainty surrounding seafood mislabeling consequences. More integrated, holistic, and collaborative approaches are needed to understand mislabeling impacts and design interventions to minimize mislabeling.

Indexed as

FisheriesFood LabelingSeafoodAquatic OrganismsFood SupplyGeographyUnited Statesfood fraudseafood mislabelingseafood tradespecies substitution

Identifiers

PMID33199620
PMCPMC7720233
OpenAlexW3100675598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.