Evidence map›Paper›PMID 38750031›Full record

ArticleNature communications2024

Carbon storage through China's planted forest expansion.

Kai Cheng, Haitao Yang, Shengli Tao, Yanjun Su, Hongcan Guan, Yu Ren, Tianyu Hu, Wenkai Li, Guangcai Xu, Mengxi Chen and 6 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  16. Article
  17. Storage Potential of Soil Functional Carbon Fractions in the World's Largest Plantations.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Kai Cheng *Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0009-0001-2398-4626
Haitao Yang *Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-6053-9505
Shengli TaoInstitute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-2145-4736
Yanjun SuState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.ORCID http://orcid.org/0000-0001-7931-339X
Hongcan GuanSchool of Tropical Agriculture and Forestry, Hainan University, Haikou, 571737, China.ORCID http://orcid.org/0000-0003-0457-7395
Yu RenInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0001-6042-396X
Tianyu HuState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Wenkai LiSchool of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510275, China.
Guangcai XuBeijing GreenValleyTechnology Co. Ltd, Beijing, 100091, China.
Mengxi ChenInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, 100871, China.
Xiancheng LuInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0009-0007-7643-6256
Zekun YangInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, 100871, China.
Yanhong TangInstitute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Keping MaState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.ORCID http://orcid.org/0000-0001-9112-5340
Jingyun FangInstitute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
Qinghua GuoInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, 100871, China. guo.qinghua@pku.edu.cn.ORCID http://orcid.org/0000-0002-1065-0838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's extensive planted forests play a crucial role in carbon storage, vital for climate change mitigation. However, the complex spatiotemporal dynamics of China's planted forest area and its carbon storage remain uncaptured. Here we reveal such changes in China's planted forests from 1990 to 2020 using satellite and field data. Results show a doubling of planted forest area, a trend that intensified post-2000. These changes lead to China's planted forest carbon storage increasing from 675.6 ± 12.5 Tg C in 1990 to 1,873.1 ± 16.2 Tg C in 2020, with an average rate of ~ 40 Tg C yr

Identifiers

PMID38750031
PMCPMC11096308

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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.