Evidence map›Paper›PMID 40249544›Full record

ArticleEnvironmental management2025

Using Corpus Linguistics to Investigate Approaches to Oyster Fishery Management Across Political Boundaries.

Shannon Fitzsimmons-Doolan, Jennifer Beseres Pollack

Abstract read
In one paragraph

Article in Environmental management, 2025. 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
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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

2 authors.

Shannon Fitzsimmons-DoolanEnglish Department, Texas A&M-Corpus Christi, Corpus Christi, TX, USA. shannon.fitzsimmons-doolan@tamucc.edu.
Jennifer Beseres PollackHarte Research Institute, Texas A&M-Corpus Christi, Corpus Christi, TX, USA.

Funding

National Oceanic and Atmospheric Administration, Office of Education Educational Partnership Program with Minority Serving Institutions award NA21SEC4810004
6 · The paper itself

Abstract

Oysters are critical resources that filter water, generate habitat, and safeguard shorelines in coastal and marine ecosystems. Balancing conservation needs with sustainable oyster fisheries is essential for maintaining oyster health and stocks. In the U.S. Gulf of Mexico, oyster resources are managed by five states (Texas, Louisiana, Mississippi, Alabama, and Florida), each with unique approaches and priorities. This study analyzes the most current oyster management guidance document for each state using corpus linguistics techniques-including keyword and concordance analyses-to identify linguistic distinctions that reflect state-specific management priorities. Findings reveal that Florida's document is the most distinctive, emphasizing oyster stressors and habitat. Louisiana's document reflects its role as a major oyster producer. Mississippi's document uniquely highlighted aquaculture as a strategy for recovering from environmental stressors. The theme of oyster restoration is robust in Alabama's 2021 document but absent in Texas's 1988 document, highlighting temporal differences in management priorities. In addition, common themes such as state-specific oyster stressors emerged among the distinctions. These results demonstrate how management priorities vary across political boundaries and provide insights for improving regional coordination. This approach offers a framework that can inform natural resource management strategies in other contexts and in other regions globally.

Indexed as

Conservation of Natural ResourcesFisheriesOstreidaeAlabamaAnimalsAquacultureEcosystemGulf of AmericaPoliticsUnited StatesCoastal managementCorpus linguisticsGulf of MexicoKeyword analysisOyster fisheries

Identifiers

PMID40249544
PMCPMC12228653

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.