Evidence map›Paper›PMID 40473650›Full record

ArticleNature communications2025

Patterns and drivers of soil microbial carbon use efficiency across soil depths in forest ecosystems.

Junmin Pei, Jinquan Li, Yiqi Luo, Matthias C Rillig, Pete Smith, Wenjing Gao, Bo Li, Changming Fang, Ming Nie

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Junmin PeiState Key Laboratory of Wetland Conservation and Restoration, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China.
Jinquan LiState Key Laboratory of Wetland Conservation and Restoration, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China. jinquanli@fudan.edu.cn.ORCID http://orcid.org/0000-0002-2219-2571
Yiqi LuoSchool of Integrative Plant Science, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-4556-0218
Matthias C RilligInstitute of Biology, Freie Universität Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-3541-7853
Pete SmithInstitute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen, UK.ORCID http://orcid.org/0000-0002-3784-1124
Wenjing GaoState Key Laboratory of Wetland Conservation and Restoration, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China.
Bo LiState Key Laboratory of Wetland Conservation and Restoration, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-0439-5666
Changming FangState Key Laboratory of Wetland Conservation and Restoration, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China.
Ming NieState Key Laboratory of Wetland Conservation and Restoration, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-0702-8009

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32430065National Natural Science Foundation of China (National Science Foundation of China) 32471831Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 23ZR1404400
6 · The paper itself

Abstract

Subsoils below 30 cm store more than half of global soil carbon. Microbial carbon use efficiency (CUE) serves as a key indicator of microbial control over soil carbon turnover, but the general patterns and drivers of microbial CUE across soil depths remain poorly understood. Here, we report a decreasing trend in microbial CUE with increasing soil depths through large-scale soil sampling across 60 sites spanning tropical to boreal forests. Using multiple analytical and statistical approaches complemented by experiments, we further identify depth-dependent drivers of microbial CUE. In the topsoil (0-10 cm), microbial CUE is primarily regulated by microbial diversity, whereas in deep subsoil (70-100 cm), it is predominantly driven by soil physicochemical protections. Our findings underscore the need to incorporate depth-specific microbial CUE drivers into carbon cycle models for more accurate predictions of whole-soil carbon storage and its feedback to climate change.

Indexed as

CarbonForestsSoilSoil MicrobiologyCarbon CycleClimate ChangeEcosystemCarbonSoil

Identifiers

PMID40473650
PMCPMC12141608

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.