Evidence map›Paper›PMID 40234654›Full record

ArticleScientific reports2025

Spatiotemporal evolution and influencing factors of carbon stock in the water receiving areas from the perspective of carbon neutrality.

Zhuoyue Peng, Mengting Li, Yaming Liu, Junxian Yin, Hongyuan Fang, Jiawei Wen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Zhuoyue PengState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100048, China. pengzy@yzu.edu.cn.
Mengting LiEngineering Research Center of High-Efficiency and Energy-Saving Large Axial Flow Pumping Station, Yangzhou University, Yangzhou, 225009, Jiangsu Province, China.
Yaming LiuEngineering Research Center of High-Efficiency and Energy-Saving Large Axial Flow Pumping Station, Yangzhou University, Yangzhou, 225009, Jiangsu Province, China.
Junxian YinState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100048, China.
Hongyuan FangEngineering Research Center of High-Efficiency and Energy-Saving Large Axial Flow Pumping Station, Yangzhou University, Yangzhou, 225009, Jiangsu Province, China.
Jiawei WenJiangsu Province Engineering Research Center of Knowledge Management and Intelligent Service, Yangzhou University, Yangzhou, 225127, Jiangsu, China.

Funding

National Natural Science Foundation of China 52379027Open Project Program of Engineering Research Center of High-efficiency and Energy-saving Large Axial Flow Pumping Station, Jiangsu Province, Yangzhou University ECHEAP024Open Project Program of Jiangsu Province Engineering Research Center of Knowledge Management and Intelligent Service, Yangzhou University KMIS202204Open Project Program of Yangtze River Cultural Research Institute CJ2316Yangzhou Science and Technology Plan Project YZ2023069
6 · The paper itself

Abstract

Water resources of water transfer projects are not only used to solve the water scarcity problem in the water-receiving area but also to change the regional carbon absorption capacity. Using the water-receiving area of the Jiangsu-Shandong section of the East Route of the South-to-North Water Diversion Project (ER-SNWDP) of China as a case study, this study explored the dynamic variation in carbon stocks in response to water diversion project in the context of carbon neutrality. The results showed that (1) After the ER-SNWDP came into operation, there was a trend of growth in water area. Based on multi-scenario simulation, under the ER-SNWDP scenario, built-up land expansion would be curbed, forest and grassland reductions would be alleviated, and water areas would increase significantly compared to the natural variation scenario. (2) Due to the implementation of the project, the research area had better carbon sequestration capacity. Under the natural variation scenario from 2015 to 2025, the carbon stock would decrease by 1228.35 × 10

Identifiers

PMID40234654
PMCPMC12000607

What Socratic 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 Socratic graph.