Evidence map›Paper›PMID 42599930›Full record

ArticlePloS one2026

Navigating complexity: Evaluating management measures for multispecies snapper-grouper fisheries in the Southeast U.S. Atlantic.

Jie Cao, Kyle Shertzer, Scott Crosson, Erik Williams, Rick DeVictor

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jie CaoDepartment of Applied Ecology, Center for Marine Sciences and Technology, North Carolina State University, Morehead City, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-6250-586X
Kyle ShertzerSoutheast Fisheries Science Center, Beaufort Laboratory, National Oceanic & Atmospheric Administration, National Marine Fisheries Service, Beaufort, North Carolina, United States of America.
Scott CrossonSoutheast Fisheries Science Center, Miami Laboratory, National Oceanic & Atmospheric Administration, National Marine Fisheries Service, Miami, Florida, United States of America.ORCID https://orcid.org/0000-0002-8126-1282
Erik WilliamsSoutheast Fisheries Science Center, Beaufort Laboratory, National Oceanic & Atmospheric Administration, National Marine Fisheries Service, Beaufort, North Carolina, United States of America.ORCID https://orcid.org/0000-0001-6623-4254
Rick DeVictorSoutheast Regional Office, National Oceanic & Atmospheric Administration, St. Petersburg, Florida, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multispecies fisheries are globally common, but typically managed through single-species controls. This situation can result in wasteful discarding, when fish of some species cannot be retained, but fishing effort toward the complex continues. In contrast, managing multispecies fisheries through effort controls can address this shortcoming. In this study, we used a simulation model to examine the effectiveness of various temporal and spatial effort controls applied to the multispecies snapper-grouper fishery in the southeast United States Atlantic. To represent the complex, we chose six species that are most commonly caught by the commercial and recreational sectors. We evaluated the various management scenarios based on performance metrics that quantify effects on spawning biomass, commercial and recreational landings, commercial and recreational discards, and economic indicators for both fishing sectors. These performance metrics were applied to both the species individually and in aggregate. We found that some management approaches were more effective than others, but that no single approach worked best for all species and both sectors. The optimal strategy depends on policy priorities, balancing potential tradeoffs between conservation goals (e.g., increased spawning biomass), harvest objectives (e.g., increased landings, decreased discards), and economic outcomes. Our modeling framework quantifies those tradeoffs.

Indexed as

Conservation of Natural ResourcesFisheriesFishesAnimalsAtlantic OceanBiomassSoutheastern United States

Identifiers

PMID42599930
PMCPMC13475873

What OpenQuestion holds

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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.