Evidence map›Paper›PMID 41304513›Full record

ArticleToxics2025

Assessment of Heavy Metal Pollution in Mangrove Sediments of Liusha Bay, Leizhou Peninsula, China.

Xianhui Yang, Huamei Huang, Ping Hu, Hong Luan, Bei Song, Zhaoyong Zheng, Cuiping Zhang, Ran Yan, Kang Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Combined Effects of Heat and CdAnimals : an open access journal from MDPI · 2026
    Article
  2. 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

9 authors.

Xianhui YangTechnology Innovation Center for South China Sea Remote Sensing, Surveying and Mapping Collaborative Application, Ministry of Natural Resources, Guangzhou 510300, China.
Huamei HuangTechnology Innovation Center for South China Sea Remote Sensing, Surveying and Mapping Collaborative Application, Ministry of Natural Resources, Guangzhou 510300, China.
Ping HuTechnology Innovation Center for South China Sea Remote Sensing, Surveying and Mapping Collaborative Application, Ministry of Natural Resources, Guangzhou 510300, China.
Hong LuanSouth China Sea Island Center, Ministry of Natural Resources, Guangzhou 510300, China.
Bei SongSchool of Ocean Sciences, China University of Geosciences, Beijing 100083, China.ORCID 0000-0003-4714-2068
Zhaoyong ZhengTechnology Innovation Center for South China Sea Remote Sensing, Surveying and Mapping Collaborative Application, Ministry of Natural Resources, Guangzhou 510300, China.
Cuiping ZhangTechnology Innovation Center for South China Sea Remote Sensing, Surveying and Mapping Collaborative Application, Ministry of Natural Resources, Guangzhou 510300, China.
Ran YanShenzhen Port Group Co., Ltd., Shenzhen 518081, China.
Kang LiTechnology Innovation Center for South China Sea Remote Sensing, Surveying and Mapping Collaborative Application, Ministry of Natural Resources, Guangzhou 510300, China.

Funding

Guangdong Province Modern Marine Fishery Industry Innovation Technology Project: Evaluation of the Carbon Sequestration Value of Typical Large Seaweeds and Demonstration of Artificial Carbon Sequestration Technology 2024-MRI-001-09Science and Technology Development Foundation of South China Sea Bureau, Ministry of Natural Resources 23YD01Special Project for Promoting High-Quality Economic Development in Guangdong Province GDNRC[2024]33
6 · The paper itself

Abstract

Heavy metal pollution threatens coastal ecosystems. Mangrove sediments, as transitional zones, are prone to contaminant accumulation. This study investigated eight heavy metals (Cu, Pb, Ni, As, Cr, Zn, Cd, Co) in Liusha Bay (Leizhou Peninsula, China). Field sampling, lab analysis, and multivariate statistics were used to assess pollution sources and ecological risks. The results show Al and Fe dominate sediment composition, with elevated P, Mn, and Sr. Arsenic (As) exhibiting the highest pollution severity (50% sites moderately contaminated by I

Indexed as

ecological risk assessmentheavy metal pollutionLiusha Baymangrove forestsmaterial source

Identifiers

PMID41304513
PMCPMC12655988

What Socratic holds

Textmetadata
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 Socratic graph.