Evidence map›Paper›PMID 40670381›Full record

ArticleNature communications2025

Newly established forests dominated global carbon sequestration change induced by land cover conversions.

Dailiang Peng, Bing Zhang, Shijun Zheng, Weimin Ju, Jing M Chen, Philippe Ciais, Huadong Guo, Yuhao Pan, Le Yu, Yidi Xu and 10 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

20 authors.

Dailiang Peng *International Research Center of Big Data for Sustainable Development Goals, Beijing, China.ORCID http://orcid.org/0000-0003-1159-0723
Bing ZhangInternational Research Center of Big Data for Sustainable Development Goals, Beijing, China. zhangbing@aircas.ac.cn.ORCID http://orcid.org/0000-0003-0319-7753
Shijun Zheng *Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
Weimin Ju *Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0002-0010-7401
Jing M ChenDepartment of Geography and Program in Planning, University of Toronto, Ontario, Canada.
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ Orme des Merisiers, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0001-8560-4943
Huadong GuoInternational Research Center of Big Data for Sustainable Development Goals, Beijing, China.ORCID http://orcid.org/0000-0003-0337-1862
Yuhao PanInternational Research Center of Big Data for Sustainable Development Goals, Beijing, China.ORCID http://orcid.org/0000-0002-5384-4624
Le YuDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-3115-2042
Yidi XuLaboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ Orme des Merisiers, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0003-1528-4256
Bin ZhaoSchool of Information Science and Engineering, Shangdong Agricultural University, Taian, China.
Jón Atli BenediktssonFaculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland.ORCID http://orcid.org/0000-0003-0621-9647
Alfredo R HueteUniversity of Technology Sydney, Faculty of Science, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-2809-2376
Zhou ShiInstitute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-3914-5402
Yueming HuEcological Civilization Collaborative Innovation Center, Hainan University, Haikou, China.
Liangyun LiuInternational Research Center of Big Data for Sustainable Development Goals, Beijing, China.ORCID http://orcid.org/0000-0002-7987-037X
Fang ChenInternational Research Center of Big Data for Sustainable Development Goals, Beijing, China.
Miaogen ShenState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0001-5742-8807
Lei HuangInternational Research Center of Big Data for Sustainable Development Goals, Beijing, China.
Xiaoyang ZhangGeospatial Sciences Center of Excellence (GSCE), Department of Geography, South Dakota State University, Brookings, SD, USA.ORCID http://orcid.org/0000-0001-8456-0547

Funding

National Natural Science Foundation of China (National Science Foundation of China) Grant No.42030111 and 42471372
6 · The paper itself

Abstract

Land cover conversions (LCC) have substantially reshaped terrestrial carbon dynamics, yet their net impact on carbon sequestration remains uncertain. Here, we use the remote sensing-driven BEPS model and high-resolution HILDA+ data to quantify LCC-induced changes in net ecosystem productivity (NEP) from 1981 to 2019. Despite global forest loss and cropland/urban expansion, LCC led to a net carbon gain of 229 Tg C. Afforestation and reforestation increased NEP by 1559 Tg C, largely offsetting deforestation-driven losses (-1544 Tg C), with newly established forests in the Northern Hemisphere driving gains that counterbalanced emissions from tropical deforestation. Regional carbon gains were concentrated in East Asia, North America, and Europe, while losses occurred mainly in the Amazon and Southeast Asia. Although smaller in area, newly established forests exhibited higher sequestration efficiency than degraded older forests, emphasizing the role of forest age in shaping global carbon sink dynamics. These findings highlight the critical importance of afforestation, forest management, and spatially informed land-use strategies in strengthening carbon sinks and supporting global carbon neutrality goals.

Indexed as

Carbon SequestrationConservation of Natural ResourcesForestsCarbonEcosystemForestryNorth AmericaTreesCarbon

Identifiers

PMID40670381
PMCPMC12267845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.