Evidence map›Paper›PMID 41405791›Full record

ArticleCarbon balance and management2025

Spatiotemporal evolution of carbon sequestration and the impact of key drivers under multiple SSP-RCP scenarios in the Yangtze River economic belt.

Jin Sun, Xiangyang Liu, Youzhi An, Peng Zhao, Jiayun Li, Mengyi He, Huili Bao, Fengtai Zhang

Abstract read
In one paragraph

Article in Carbon balance and management, 2025. 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

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

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

8 authors.

Jin SunState Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xiangyang LiuState Key Laboratory of Efficient Utilization of Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. liuxiangyang@caas.cn.
Youzhi AnSchool of Management, Chongqing University of Technology, Chongqing, 400054, China.
Peng ZhaoState Key Laboratory of Mountain Hazards and Engineering Safety, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610299, China.
Jiayun LiSchool of Management, Chongqing University of Technology, Chongqing, 400054, China.
Mengyi HeSchool of Management, Chongqing University of Technology, Chongqing, 400054, China.
Huili BaoSchool of Management, Chongqing University of Technology, Chongqing, 400054, China.
Fengtai ZhangSchool of Management, Chongqing University of Technology, Chongqing, 400054, China.

Funding

Central Public-interest Scientific Institution Basal Research Fund Y2024QC17Chongqing Social Science Planning Project of China 2022PY37Humanities and Social Sciences Research Project of Chongqing Municipal Education Commission of China 23SKGH258National Natural Science Foundation of China 42101371
6 · The paper itself

Abstract

Carbon sequestration (CS), a key component of climate change mitigation and carbon neutrality efforts, is strongly influenced by land use/land cover change (LUCC). However, the spatiotemporal evolution of CS in response to future LUCC trajectories under urbanization remains underexplored. Therefore, this study focuses on the Yangtze River Economic Belt (YREB), a region characterized by rapid urbanization and high carbon emissions, and develops an integrated SD-PLUS-InVEST modelling framework to evaluate the impacts of LUCC under three SSP-RCP scenarios on regional CS dynamics. Results show that, cropland is projected to decline by 5%, 10%, and 3%, while forestland increases by 8%, 3%, and 5% under SSP1-2.6, SSP5-8.5, and SSP2-4.5, respectively. Correspondingly, CS shows a 12% increase under SSP1-2.6, an 8% decrease under SSP5-8.5, and a moderate enhancement under SSP2-4.5. The XGBoost-SHAP analysis quantified the impacts of key drivers, revealing that elevated temperature and population growth are strongly correlated with declines in CS, while economic growth is positively correlated with enhanced CS capacity. This research provides valuable insights into how LUCC affects CS under varying development scenarios, offering actionable guidance for formulating regional land-use policies that promote CS and contribute to climate mitigation.

Indexed as

Carbon neutrality targetCarbon sequestration (CS)Land use/land cover change (LUCC)Multi-scenariosYangtze river economic belt (YREB)

Identifiers

PMID41405791
PMCPMC12822308

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.