Evidence map›Paper›PMID 41272219›Full record

ReviewCarbon balance and management2025

Transparency, robustness, and consistency in aboveground forest carbon quantification methodologies used for tropical forest carbon projects: a review in Southeast Asia.

Yuchuan Zhou, Yingshan Lau, Zu Dienle Tan, Hao Tang, David Taylor

Abstract readReview
In one paragraph

Review in Carbon balance and management, 2025. 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
–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

0 citing papers in PubMed.

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

5 authors.

Yuchuan ZhouDepartment of Geography, National University of Singapore, Singapore, Singapore. yuchuanz@u.nus.edu.
Yingshan LauAsia Research Institute, National University of Singapore, Singapore, Singapore.
Zu Dienle TanThe Asian School of the Environment, Nanyang Technological University, Singapore, Singapore.
Hao TangDepartment of Geography, National University of Singapore, Singapore, Singapore.
David TaylorDepartment of Geography, National University of Singapore, Singapore, Singapore.

Funding

Singapore Ministry of Education MOE-T2EP50122-0006Singapore Social Science Research Council MOE2021-SSRTG-021
6 · The paper itself

Abstract

Forest carbon projects hold significant potential for mitigating greenhouse gas emissions. However, growing scrutiny has raised concerns about their climate integrity, particularly the gap between scientific knowledge and the practical implementation of carbon quantification methodologies. Southeast Asia, a rainforested tropical region, is a key focus for the development of forest carbon projects. This study critically reviewed the quantification methods and associated reporting of 69 forest carbon projects across Southeast Asia, guided by three essential and interrelated criteria: transparency, robustness, and consistency. The findings reveal limited disclosure in methodological reporting, the adoption of potentially unreliable quantification practices, and substantial variability due to the differing standards adopted by projects. These issues risk undermining the credibility of carbon credits and may hinder their alignment with national and international climate goals. By identifying key methodological gaps and proposing clear evaluation criteria, this study contributes to ongoing debates around forest carbon credit integrity and underscores the urgent need for more transparent, rigorous, and standardised carbon accounting practices within the sector.

Indexed as

Carbon accountingCarbon credit integrityCarbon offsetClimate changeGreen carbonMRVNatural climate solutionNature-based solutionsREDD+Science-practice gap

Identifiers

PMID41272219
PMCPMC12639751

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.