Evidence map›Paper›PMID 38315340›Full record

ArticleEnvironmental science and pollution research international2024

Quantifying carbon pool in ex-mining lake-converted constructed wetlands of Paya Indah Wetlands, Selangor, Malaysia.

Nurul' Ain Jamion, Khai Ern Lee, Mazlin Mokhtar, Thian Lai Goh

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2024. 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
2.3field-weighted citation impact, top 14% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

4 authors at 3 institutions in 1 country.

Nurul' Ain JamionUniversiti Teknologi MARA, Cawangan Negeri Sembilan, Kampus Kuala Pilah, Kuala Pilah, Negeri Sembilan, Malaysia.
Khai Ern LeeInstitute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia. khaiernlee@ukm.edu.my.ORCID http://orcid.org/0000-0002-1463-3787
Mazlin MokhtarSustainable Development Solutions Network Asia (SDSN Asia), Sunway University, Bandar Sunway, Selangor, Malaysia.
Thian Lai GohFaculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
National University of Malaysia · MYMalaysia Theological Seminary · MYSunway University · MY

Funding

Ministry of Higher Education, Malaysia KKP/2021/UKM-UKM/1/1
6 · The paper itself

Abstract

Ex-mining lake-converted constructed wetlands play a significant role in the carbon cycle, offering a great potential to sequester carbon and mitigate climate change and global warming. Investigating the quantity of carbon storage capacity of ex-mining lake-converted constructed wetlands provides information and justification for restoration and conservation efforts. The present study aims to quantify the carbon pool of the ex-mining lake-converted constructed wetlands and characterise the physicochemical properties of the soil and sediment. Pearson's correlation and a one-way ANOVA were performed to compare the different sampling stations at Paya Indah Wetland, Selangor, Malaysia. An analysis of 23 years of ex-mining lake-converted constructed wetlands of Paya Indah Wetlands, Selangor, Malaysia, revealed that the estimated total carbon pool in soil and sediment accumulated to 1553.11 Mg C ha

Indexed as

LakesWetlandsCarbonMalaysiaSoilSpectroscopy, Fourier Transform InfraredCarbonSoilCarbon poolCarbon sinkConstructed wetlandsGlobal warmingNature valuesSoil organic carbon

Identifiers

PMID38315340
OpenAlexW4391540719

What OpenQuestion holds

Textmetadata
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.