Evidence map›Paper›PMID 42118801›Full record

ArticlePloS one2026

The urban green carbon index (UGCI): A spatial framework for suggesting urban carbon management.

Inhye Seo, Junge Hyun, Bokyung Son, Yeonsu Lee, Jungho Im, Jongho Kim, Sujong Jeong, Gayoung Yoo

Abstract read
In one paragraph

Article in PloS one, 2026. 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

8 authors.

Inhye SeoDepartment of Applied Environmental Science, Kyung Hee University, Yongin, Republic of Korea.ORCID https://orcid.org/0000-0002-0251-1299
Junge HyunDepartment of Environmental Science and Engineering, Kyung Hee University, Yongin, Republic of Korea.
Bokyung SonDepartment of Civil, Urban, Earth, and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.ORCID https://orcid.org/0000-0002-8410-731X
Yeonsu LeeDepartment of Civil, Urban, Earth, and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Jungho ImDepartment of Civil, Urban, Earth, and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Jongho KimDepartment of Environmental Planning, Graduate School of Environmental Studies, Seoul National University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0009-9740-4899
Sujong JeongDepartment of Environmental Planning, Graduate School of Environmental Studies, Seoul National University, Seoul, Republic of Korea.
Gayoung YooDepartment of Applied Environmental Science, Kyung Hee University, Yongin, Republic of Korea.ORCID https://orcid.org/0000-0002-5465-1584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing carbon (C) sequestration in urban green spaces is essential for urban carbon neutrality; yet the spatial heterogeneity and structural complexity of urban landscapes hinder the development of targeted, actionable management strategies. This study introduces a decision-support framework that integrates a novel Urban Green Carbon Index (UGCI) with a multi-dimensional analytical approach for assessing and guiding urban C management. The UGCI combines 30 m-resolution spatial data on vegetation C storage, soil C storage, net C uptake, and soil C storage potential, and identifies the three most influential components based on the weights derived from their spatial variability. The multi-dimensional approach depicts the relative importance among the three core UGCI components, thereby enabling site-specific and component-focused management directions. A case study in Suwon, South Korea, showed that the UGCI captured pronounced within-patch heterogeneity, recording 21-45% lower values at edges compared with interiors, thereby identifying specific locations within green patches where localized management to improve C conditions is most warranted. Based on the limited components revealed by the ternary analysis, tailored management practices, such as surface litter retention, soil decompaction, and multi-layered planting, were proposed to improve the weaker C components. This framework provides a scientifically grounded and policy-ready basis for spatially explicit diagnosis and management of urban C, supporting a transition from generalized greening efforts toward quantifiable, site-specific C enhancement strategies.

Indexed as

CarbonCarbon SequestrationConservation of Natural ResourcesCitiesRepublic of KoreaSoilCarbonSoil

Identifiers

PMID42118801
PMCPMC13166916

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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.