Evidence map›Paper›PMID 38605043›Full record

ArticleNature communications2024

Maximizing carbon sequestration potential in Chinese forests through optimal management.

Zhen Yu, Shirong Liu, Haikui Li, Jingjing Liang, Weiguo Liu, Shilong Piao, Hanqin Tian, Guoyi Zhou, Chaoqun Lu, Weibin You and 4 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Zhen YuKey Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China. zyu@nuist.edu.cn.ORCID http://orcid.org/0000-0002-7729-249X
Shirong LiuKey Laboratory of Forest Ecology and Environment, China's National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, 100091, Beijing, China. liusr@caf.ac.cn.ORCID http://orcid.org/0000-0002-1103-9803
Haikui LiKey Laboratory of Forest Management and Growth Modelling, China's National Forestry and Grassland Administration, Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, 100091, Beijing, China.
Jingjing LiangForest Advanced Computing and Artificial Intelligence Laboratory (FACAI), Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA.
Weiguo LiuCollege of Forestry, Northwest agriculture and Forestry University, Yangling, 712100, China.ORCID http://orcid.org/0000-0001-8176-2522
Shilong PiaoSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, 100871, Beijing, China.ORCID http://orcid.org/0000-0001-8057-2292
Hanqin TianSchiller Institute for Integrated Science and Society, Department of Earth and Environmental Sciences, Boston College, Chestnut Hill, Massachusetts, MA, 02467, USA.ORCID http://orcid.org/0000-0002-1806-4091
Guoyi ZhouKey Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.ORCID http://orcid.org/0000-0002-1115-0421
Chaoqun LuDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, 50011, USA.ORCID http://orcid.org/0000-0002-1526-0513
Weibin YouCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Pengsen SunKey Laboratory of Forest Ecology and Environment, China's National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, 100091, Beijing, China.
Yanli DongKey Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Stephen SitchCollege of Life and Environmental Sciences, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0003-1821-8561
Evgenios AgathokleousKey Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.ORCID http://orcid.org/0000-0002-0058-4857

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32001166National Natural Science Foundation of China (National Science Foundation of China) 32361143869National Natural Science Foundation of China (National Science Foundation of China) 32371663
6 · The paper itself

Abstract

Forest carbon sequestration capacity in China remains uncertain due to underrepresented tree demographic dynamics and overlooked of harvest impacts. In this study, we employ a process-based biogeochemical model to make projections by using national forest inventories, covering approximately 415,000 permanent plots, revealing an expansion in biomass carbon stock by 13.6 ± 1.5 Pg C from 2020 to 2100, with additional sink through augmentation of wood product pool (0.6-2.0 Pg C) and spatiotemporal optimization of forest management (2.3 ± 0.03 Pg C). We find that statistical model might cause large bias in long-term projection due to underrepresentation or neglect of wood harvest and forest demographic changes. Remarkably, disregarding the repercussions of harvesting on forest age can result in a premature shift in the timing of the carbon sink peak by 1-3 decades. Our findings emphasize the pressing necessity for the swift implementation of optimal forest management strategies for carbon sequestration enhancement.

Indexed as

Carbon SequestrationForestsBiomassCarbonChinaTreesCarbon

Identifiers

PMID38605043
PMCPMC11009231

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.