Evidence map›Paper›PMID 39984586›Full record

ArticleScientific reports2025

Decoding carbon pathways of Shanghai megacity through historical land use patterns and urban ecosystem transitions.

Yangyang Wu, Jinli Yang, Siliang Li, Yang Zhao, Chunzi Guo, Xiaodong Yang, Yue Xu, Fujun Yue, Zhonghua Zhang, Songyu Yang and 4 more

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

14 authors.

Yangyang Wu *School of Geography and Resources, Guizhou Education University, Guiyang, 550018, China.
Jinli Yang *College of Ecology and Environment, Xinjiang University, Urumqi, 830017, China.
Siliang LiSchool of Earth System Science, Tianjin University, Tianjin, 300072, China.
Yang ZhaoSchool of Geography and Resources, Guizhou Education University, Guiyang, 550018, China.
Chunzi GuoSchool of Earth System Science, Tianjin University, Tianjin, 300072, China. guochunzi@hhbhjg.mee.gov.cn.
Xiaodong YangCollege of Ecology and Environment, Xinjiang University, Urumqi, 830017, China.
Yue XuState Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China.
Fujun YueSchool of Earth System Science, Tianjin University, Tianjin, 300072, China.
Zhonghua ZhangSchool of Environmental and Life Sciences, Nanning Normal University, Nanning, 530100, China.
Songyu YangState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
Guanghong ZhouSchool of Geography and Resources, Guizhou Education University, Guiyang, 550018, China.
Haobiao WuCollege of Ecology and Environment, Xinjiang University, Urumqi, 830017, China.
Panli YuanCollege of Ecology and Environment, Xinjiang University, Urumqi, 830017, China.
Guangjie LuoSchool of Geography and Resources, Guizhou Education University, Guiyang, 550018, China. luoguangjie@gznc.edu.cn.

Funding

Guizhou Provincial Digital Rural Innovation Team in Higher Education QJJ [2023] 076Guizhou Provincial Engineering Research Center in Higher Education QJJ [2023] 039Guizhou Provincial Science and Technology Projects QKHJC-ZK [2022] YB334Key Project of the Guizhou Provincial Philosophy and Social Sciences Planning Annual Program 24GZZD34
6 · The paper itself

Abstract

Urbanization induces significant land use changes that profoundly impact carbon stocks by altering terrestrial ecosystems' carbon storage capacity. This study employs integrated FLUS model and InVEST model alongside land use data to analyze the spatial and temporal dynamics of car-bon stocks in Shanghai from 2010 to 2020. We predict future land use change and carbon stock distribution patterns under various scenarios for Shanghai in 2030. Despite cultivated land representing the largest land use type in terms of area, rapid urbanization has drastically reduced it, largely converting it into construction land. Construction land expands most rapidly under the HUS scenario, prioritizing economic development, and least under the EPS scenario, emphasizing eco-logical protection. Annual carbon stocks declined by 165.06 × 10

Identifiers

PMID39984586
PMCPMC11845509

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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.