Evidence map›Paper›PMID 42414320›Full record

ArticleNature communications2026

Declines in organic matter persistence with increased soil carbon.

Guang Zhao, Chao Liang, Zhihua Liu, Nan Cong, Zhoutao Zheng, Edith Bai, Juntao Zhu, Bo Zhao, Yixuan Zhu, Mengke Cai and 5 more

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

15 authors.

Guang ZhaoNaqu Alpine Grassland Ecosystem National Observation and Research Station, Key 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/0000-0002-2048-6461
Chao LiangCollege of Environmental and Resource Sciences, Zhejiang A&F University, Hangzhou, China.ORCID http://orcid.org/0000-0002-9089-6546
Zhihua LiuCAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.
Nan CongNaqu Alpine Grassland Ecosystem National Observation and Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Zhoutao ZhengNaqu Alpine Grassland Ecosystem National Observation and Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Edith BaiSchool of Geographical Sciences, Northeast Normal University, Changchun, China.
Juntao ZhuNaqu Alpine Grassland Ecosystem National Observation and Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Bo ZhaoNaqu Alpine Grassland Ecosystem National Observation and Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Yixuan ZhuNaqu Alpine Grassland Ecosystem National Observation and Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Mengke CaiNaqu Alpine Grassland Ecosystem National Observation and Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Xiaoqing DuanNaqu Alpine Grassland Ecosystem National Observation and Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Hui WangDepartment of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID http://orcid.org/0009-0004-9975-9419
Jianbei HuangDepartment of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID http://orcid.org/0000-0001-5286-5645
Yangjian ZhangSchool of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding, Hebei, China. zhangyj@igsnrr.ac.cn.ORCID http://orcid.org/0000-0001-6758-2453
Susan TrumboreDepartment of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID http://orcid.org/0000-0003-3885-6202

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32061143037
6 · The paper itself

Abstract

The persistence of soil organic matter (SOM) is critical for predicting carbon-climate feedbacks, yet how increasing soil organic carbon (SOC) relates to long-term SOM persistence across environmental gradients remains unclear. Soil radiocarbon, SOM physicochemical composition, and microbial carbon use efficiency (CUE) are analyzed along a precipitation-driven gradient integrated with global datasets. Here we show, as SOC content increases, its persistence as reflected by radiocarbon signatures declines at both the transect and global scales. This pattern indicates that higher SOC soils are increasingly dominated by younger, faster-cycling carbon rather than older, stabilized pools. Plant carbon inputs strongly predict SOM persistence and are associated with younger, less persistent SOC. While microbial CUE increases with SOC, higher CUE does not necessarily enhance long-term stabilization. Our findings suggest that SOC content alone provides limited insight into long-term soil carbon persistence and highlight the importance of explicitly representing plant carbon inputs and microbially mediated persistence in Earth system models.

Identifiers

PMID42414320
PMCPMC13482611

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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.