Evidence map›Paper›PMID 40196308›Full record

ArticlePeerJ2025

Contrast in the density and biomass of fish in a reef system with different fishing intensity in the Mexican Caribbean.

José Manuel Castro-Pérez, Carmen Amelia Villegas-Sánchez, Alejandro Medina-Quej, Rigoberto Rosas-Luis, Jesús E Arias-González

Abstract read
In one paragraph

Article in PeerJ, 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
–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.

José Manuel Castro-PérezDivisión de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Chetumal, Chetumal, Q.R., Mexico.
Carmen Amelia Villegas-SánchezDivisión de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Chetumal, Chetumal, Q.R., Mexico.
Alejandro Medina-QuejDivisión de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Chetumal, Chetumal, Q.R., Mexico.
Rigoberto Rosas-LuisCátedra CONACyT, Tecnologico Nacional de Mexico/Instituto Tecnológico de Chetumal, Chetumal Quintana Roo, México, Chetumal, Quintana Roo, Mexico.ORCID 0000-0002-7785-7120
Jesús E Arias-GonzálezCentro de Investigación y Estudios Avanzados del I.P.N-Unidad Mérida, Merida, Yucatán, Mexico.ORCID 0000-0002-9563-2064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wide range of fish species are caught in reef fisheries. However, fishing efforts tend to be highly selective in favor of large species, which generally have low population growth rates, making them more vulnerable to overfishing. When the decline of large predators occurs, fishing efforts start to focus on catching species from lower trophic levels, which can cause a trophic cascade effect. The objective of this research was to detect changes in the density and biomass of fish communities in areas with different fishing intensity in the study area. This study was carried out in the Banco Chinchorro Biosphere (BCBR) in the Mexican Caribbean and analyze the effect of fishing intensity on fish density and biomass, comparing data obtained from visual censuses with dependent information of the fishery. Evidence was found of a relationship between high fishing exploitation and low levels of density and biomass for

Indexed as

BiomassCoral ReefsFisheriesFishesAnimalsCaribbean RegionConservation of Natural ResourcesMexicoPopulation DensityArtisanal fishingBanco Chinchorro biosphere reserveCoral reefFish assemblage structure

Identifiers

PMID40196308
PMCPMC11974544

What OpenQuestion holds

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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.