Evidence map›Paper›PMID 35878279›Full record

ArticleToxics2022

Heavy Metal Contamination in Sediments from Wetlands Invaded by

Zaiwang Zhang, Tongrui Zhang, Wenhao Yu, Jikun Xu, Jialiang Li, Tao Wu, Suzhe Liu, Haiyang Wang, Yuxia Wang, Shuai Shang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Heliyon · 2025
    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

11 authors at 2 institutions in 1 country.

Zaiwang ZhangShandong Engineering and Technology Research Center for Ecological Fragile Belt of Yellow River Delta, School of Biological and Environmental Engineering, Binzhou University, Binzhou 256600, China.
Tongrui ZhangShandong Engineering and Technology Research Center for Ecological Fragile Belt of Yellow River Delta, School of Biological and Environmental Engineering, Binzhou University, Binzhou 256600, China.
Wenhao YuShandong Engineering and Technology Research Center for Ecological Fragile Belt of Yellow River Delta, School of Biological and Environmental Engineering, Binzhou University, Binzhou 256600, China.
Jikun XuShandong Engineering and Technology Research Center for Ecological Fragile Belt of Yellow River Delta, School of Biological and Environmental Engineering, Binzhou University, Binzhou 256600, China.
Jialiang LiShandong Engineering and Technology Research Center for Ecological Fragile Belt of Yellow River Delta, School of Biological and Environmental Engineering, Binzhou University, Binzhou 256600, China.
Tao WuShandong Engineering and Technology Research Center for Ecological Fragile Belt of Yellow River Delta, School of Biological and Environmental Engineering, Binzhou University, Binzhou 256600, China.ORCID 0000-0003-3620-4294
Suzhe LiuThe Second Hydrogeology Engineering Geology Brigade, Shandong Provincial Bureau of Geology and Mineral, Shandong Provincial Lubei Geo-Engineering Exploration Institute, Dezhou 253000, China.
Haiyang WangManagement Center of the Yellow River Delta Sustainable Development Research Institute, Dongying 257000, China.
Yuxia WangManagement Center of the Yellow River Delta Sustainable Development Research Institute, Dongying 257000, China.
Shuai ShangShandong Engineering and Technology Research Center for Ecological Fragile Belt of Yellow River Delta, School of Biological and Environmental Engineering, Binzhou University, Binzhou 256600, China.ORCID 0000-0003-4465-9758
Aiguo LinShandong Engineering and Technology Research Center for Ecological Fragile Belt of Yellow River Delta, School of Biological and Environmental Engineering, Binzhou University, Binzhou 256600, China.
Binzhou University · CNGeological Exploration Institute of Shandong Zhengyuan · CN

Funding

Natural Science Foundation of Shandong Province ZR2019QEE039Natural Science Foundation of Shandong Province ZR2021QD082Science and Technology Support Plan for Youth Innovation of Colleges and Universities in Shandong Province 2020KJD005the Experimental Technology Project of Binzhou University BZXYSYXM202101
6 · The paper itself

Abstract

Heavy metals are major pollutants that pose threats to wetland environments. In the present study, surface sediments from wetlands vegetated by invasive species Spartina alterniflora in the Yellow River Delta were collected and determined for the mass fractions of Co, Ni, As, Cd and Pb. Results showed mass fractions of Co, Ni, As, Cd and Pb in the sediments of the S. alterniflora communities ranged from 8.5 to 16.0, 13.9−27.9, 3.2−13.8, 0.08−0.24, and 17.6−37.5 mg/kg dw, respectively, generally presenting an order of Pb > Ni > Co > As > Cd. The levels of heavy metals in sediments in the S. alterniflora communities were higher than those in the wetland vegetated by the native plant species Suaeda heteroptera. Correlations among metal elements were highly significant, suggesting that they might have the same sources. Clay and TOC were important factors affecting the spatial distribution of metals. The Igeo values of the investigated elements in the sediments were frequently lower than 0, revealing the slight pollution status of these metals. Relatively slight values of Eri and RI suggested that the potential ecological risks caused by the 5 metals were low. Our findings could provide a better understanding of the correlation between metal pollution and bio-invasion in wetland ecosystems.

Indexed as

heavy metalsedimentSpartina alternifloraYellow River Delta

Identifiers

PMID35878279
PMCPMC9317303
OpenAlexW4283822543

What OpenQuestion 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 OpenQuestion graph.