Evidence map›Paper›PMID 42191724›Full record

ArticleNature communications2026

Nonlinear temperature change responses shape soil organic carbon loss-gain transitions in global Mollisol croplands.

Xiangtian Meng, Yilin Bao, Susan L Ustin, Chong Luo, Xinle Zhang, Mikhail Semenov, Huanjun Liu

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

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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

7 authors.

Xiangtian MengState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Yilin BaoKey Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun, China. byl1211neau@yeah.net.
Susan L UstinCenter for Spatial Technologies and Remote Sensing (CSTARS), Department of Land, Air, and Water Resources, University of California, Davis, USA.ORCID http://orcid.org/0000-0001-8551-0461
Chong LuoState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Xinle ZhangCollege of Information Technology, Jilin Agricultural University, Changchun, China.
Mikhail SemenovV.V. Dokuchaev Soil Science Institute, Moscow, Russian Federation.ORCID http://orcid.org/0000-0001-6811-5793
Huanjun LiuState Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China. huanjunliu@yeah.net.ORCID http://orcid.org/0009-0002-6833-0690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mollisol croplands are important for global food production and soil carbon storage, yet it remains unclear how climate warming affects transitions between soil organic carbon loss and gain. Here we show that surface soil organic carbon across global Mollisol croplands declined by 5.59% from 1990 to 2020, although the rate of loss slowed over time. Using 5,535 soil samples and satellite observations, we identified a nonlinear relationship between soil carbon change and the rate of warming, with a threshold at 0.0309 °C/yr above which net soil carbon change shifted from loss toward gain. This threshold increased toward lower latitudes, indicating that warmer regions require stronger warming to reach a similar transition. If recent climate-soil relationships persist, about 65% of Mollisol cropland may exceed this threshold by 2050 under a moderate emissions scenario. These results highlight the importance of nonlinear threshold responses in predicting soil carbon dynamics under climate change.

Identifiers

PMID42191724
PMCPMC13389025

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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.