Evidence map›Paper›PMID 41748574›Full record

ArticleNature communications2026

Millennial land carbon emissions in China offset by carbon sinks of the past four decades.

Weizhe Chen, Philippe Ciais, Kailiang Yu, Nicolas Viovy, Shicheng Li, Liangcheng Tan

Abstract read
In one paragraph

Article in Nature communications, 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

6 authors.

Weizhe ChenState Key Laboratory of Geomicrobiology and Environmental Changes, Hubei Key Laboratory of Critical Zone Evolution, School of Earth and Planetary Sciences, China University of Geosciences, Wuhan, China. wzchen@cug.edu.cn.ORCID http://orcid.org/0000-0001-5126-3810
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0001-8560-4943
Kailiang YuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-0145-0356
Nicolas ViovyLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-9197-6417
Shicheng LiHubei Key Laboratory of Environment and Culture in Yangtze Regions, Department of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan, China.ORCID http://orcid.org/0000-0001-6296-636X
Liangcheng TanState Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China.ORCID http://orcid.org/0000-0003-1932-7102

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42307556, 42230208National Natural Science Foundation of China (National Science Foundation of China) 42325705
6 · The paper itself

Abstract

China experienced substantial millennial-scale climate and anthropogenic land use changes, yet their combined impacts on land carbon dynamics remain largely unexamined. Here, we quantify spatiotemporal changes in terrestrial organic carbon over 851-2022 using a land surface model driven by reconstructed climate and land cover forcings. Simulated results show China's pre-industrial millennial land carbon dynamics aligned with global carbon stock and atmospheric CO

Identifiers

PMID41748574
PMCPMC13061956

What OpenQuestion holds

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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.