Evidence map›Paper›PMID 42337261›Full record

ArticleNature communications2026

National pathways of land-use CO₂ emissions in the 21

Danni Zhang, Bo Zheng, Yue He, Tianyi Wang, Gaurav P Shrivastav, Philippe Ciais, Thomas Gasser

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

7 authors.

Danni ZhangShenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration, Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.ORCID http://orcid.org/0000-0002-6356-1601
Bo ZhengShenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration, Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China. bozheng@sz.tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-8344-3445
Yue HeInstitute of Carbon Neutrality, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7754-7026
Tianyi WangShenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration, Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
Gaurav P ShrivastavInternational Institute for Applied Systems Analysis, Laxenburg, Austria.
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, IPSL, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0001-8560-4943
Thomas GasserInternational Institute for Applied Systems Analysis, Laxenburg, Austria. gasser@iiasa.ac.at.ORCID http://orcid.org/0000-0003-4882-2647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Land-use and land-cover change (LULCC) is a major source of anthropogenic CO₂ emissions, yet projections remain scarce. Here, we use the reduced-complexity Earth system model OSCAR to generate national LULCC carbon emission trajectories through 2100, across 150 socioeconomic and policy-relevant scenarios. Deforestation and forest regrowth dominate variability in LULCC carbon emission, with policy timing and ambition exerting strong control. Ending gross deforestation by 2030 yields large, persistent removals (about -30 Pg C by 2100), whereas net forest area balance still emits 4-9 Pg C. The strongest sinks are projected to emerge in China and Indonesia, while Brazil and the Democratic Republic of the Congo dominate global sources. The accompanying open dataset enables country-level scenario assembly and policy evaluation. Our findings underscore that early and ambitious land governance, particularly in tropical regions, is essential for transforming the land sector into a durable carbon sink aligned with global temperature goals.

Identifiers

PMID42337261
PMCPMC13443099

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.