Evidence map›Paper›PMID 32080189›Full record

ArticleNature communications2020

Impact of two of the world's largest protected areas on longline fishery catch rates.

John Lynham, Anton Nikolaev, Jennifer Raynor, Thaís Vilela, Juan Carlos Villaseñor-Derbez

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Fully protected Marine Protected Areas do not displace fisheries.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Global expansion of marine protected areas and the redistribution of fishing effort.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

5 authors.

John LynhamDepartment of Economics, University of Hawai'i at Mānoa, Saunders Hall 532, 2424 Maile Way, Honolulu, HI, 96822, USA. lynham@hawaii.edu.ORCID http://orcid.org/0000-0002-5816-9648
Anton NikolaevInformation and Computer Sciences, University of Hawai'i at Mānoa, 103 Keller Hall, Honolulu, HI, 96822, USA.
Jennifer RaynorDepartment of Economics, Wesleyan University, Public Affairs Center 204, 238 Church Street, Middletown, CT, 06459, USA.
Thaís VilelaConservation Strategy Fund, 1636 R St. NW, Suite 3, Washington, DC, 20009, USA.
Juan Carlos Villaseñor-DerbezBren School of Environmental Science and Management, University of California, 2400 Bren Hall, Santa Barbara, CA, 93106, USA.ORCID http://orcid.org/0000-0003-1245-589X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two of the largest protected areas on earth are U.S. National Monuments in the Pacific Ocean. Numerous claims have been made about the impacts of these protected areas on the fishing industry, but there has been no ex post empirical evaluation of their effects. We use administrative data documenting individual fishing events to evaluate the economic impact of the expansion of these two monuments on the Hawaii longline fishing fleet. Surprisingly, catch and catch-per-unit-effort are higher since the expansions began. To disentangle the causal effect of the expansions from confounding factors, we use unaffected control fisheries to perform a difference-in-differences analysis. We find that the monument expansions had little, if any, negative impacts on the fishing industry, corroborating ecological models that have predicted minimal impacts from closing large parts of the Pacific Ocean to fishing.

Identifiers

PMID32080189
PMCPMC7033108

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.