Evidence map›Paper›PMID 37508376›Full record

ArticleBiology2023

Impacts of Strong ENSO Events on Fish Communities in an Overexploited Ecosystem in the South China Sea.

Miao Li, Youwei Xu, Mingshuai Sun, Jiajun Li, Xingxing Zhou, Zuozhi Chen, Kui Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Miao LiSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.
Youwei XuSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.
Mingshuai SunSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.
Jiajun LiSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.
Xingxing ZhouSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.
Zuozhi ChenSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.
Kui ZhangSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.ORCID 0000-0002-7576-350X

Funding

Central Public-Interest Scientific Institution Basal Research Fund, CAFS 2020TD05Central Public Interest Scientific Institution Basal Research Fund, South China Sea Fisheries Research Institute, CAFS 2021SD01Guangzhou Basic and Applied Basic Research Project 202201010639
6 · The paper itself

Abstract

To better understand how fish communities respond to environmental changes under extreme climate events, we examine changes in fish communities in Beibu Gulf during strong El Niño and La Niña events. Strong La Niña and El Niño events affect the composition, abundance, and distribution of fish communities in Beibu Gulf. Fish community distribution and composition change before and after La Niña and El Niño events, and dominant species within them change with stable fishing intensity. The abundance and distribution of small pelagic fish such as Japanese jack mackerel (

Indexed as

Beibu GulfbiodiversityDecapterus maruadsifish communityGAMTrachurus japonicus

Identifiers

PMID37508376
PMCPMC10376808

What OpenQuestion holds

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LicenceCC BY
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.