Evidence map›Paper›PMID 33847888›Full record

ArticleEnvironmental science and pollution research international2021

Assessing changes of carbon stock in dipterocarp forest due to hydro-electric dam construction in Malaysia.

Hayana Dullah, Marlinda Abdul Malek, Hamdan Omar, Sajjad Ali Mangi, Marlia Mohd Hanafiah

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Article in Environmental science and pollution research international, 2021. 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

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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

5 authors.

Hayana DullahCivil Engineering Department, College of Engineering, Universiti Tenaga Nasional, 43000, Kajang, Selangor, Malaysia. hayanadullah@gmail.com.ORCID http://orcid.org/0000-0002-0165-4538
Marlinda Abdul MalekInstitute of Sustainable Energy (ISE), Universiti Tenaga Nasional, 43000, Kajang, Selangor, Malaysia.
Hamdan OmarForest Research Institute Malaysia (FRIM), Kepong, Selangor, Malaysia.
Sajjad Ali MangiDepartment of Civil Engineering, Mehran University of Engineering and Technology, SZAB Campus Khairpur Mirs, Sindh, Pakistan.
Marlia Mohd HanafiahDepartment of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaaan Malaysia, UKM, 43600, Bangi, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deforestation and forest degradation are among the leading global concerns, as they could reduce the carbon sink and sequestration potential of the forest. The impoundment of Kenyir River, Hulu Terengganu, Malaysia, in 1985 due to the development of hydropower station has created a large area of water bodies following clearance of forested land. This study assessed the loss of forest carbon due to these activities within the period of 37 years, between 1972 and 2019. The study area consisted of Kenyir Lake catchment area, which consisted mainly of forests and the great Kenyir Lake. Remote sensing datasets have been used in this analysis. Satellite images from Landsat 1-5 MSS and Landsat 8 OLI/TRIS that were acquired between the years 1972 and 2019 were used to classify land uses in the entire landscape of Kenyir Lake catchment. Support vector machine (SVM) was adapted to generate the land-use classification map in the study area. The results show that the total study area includes 278,179 ha and forest covers dominated the area for before and after the impoundment of Kenyir Lake. The assessed loss of carbon between the years 1972 and 2019 was around 8.6 million Mg C with an annual rate of 0.36%. The main single cause attributing to the forest loss was due to clearing of forest for hydro-electric dam construction. However, the remaining forests surrounding the study area are still able to sequester carbon at a considerable rate and thus balance the carbon dynamics within the landscapes. The results highlight that carbon sequestration scenario in Kenyir Lake catchment area shows the potential of the carbon sink in the study area are acceptable with only 17% reduction of sequestration ability. The landscape of the study area is considered as highly vegetated area despite changes due to dam construction.

Indexed as

CarbonForestsCarbon SequestrationConservation of Natural ResourcesMalaysiaRiversCarbonCarbon estimationKenyir LakeLandsat datasetRemote sensing

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Registered trials

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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.