Evidence map›Paper›PMID 41168960›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Global Evidence of the Unimodal Response of Ecosystem Respiration to Soil Moisture.

Jinlong Peng, Shudi Xie, Jiwang Tang, Jiaqiang Liao, Chen Chen, Chuanlian Sun, Yiheng Wang, Qingping Zhou, Guirui Yu, Shuli Niu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Global Evidence of the Unimodal Response of Ecosystem Respiration to Soil Moisture.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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

10 authors.

Jinlong PengKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0002-8721-4612
Shudi XieKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Jiwang TangKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Jiaqiang LiaoKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Chen ChenKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Chuanlian SunCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yiheng WangKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Qingping ZhouInstitute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu, 610041, China.
Guirui YuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Shuli NiuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.ORCID https://orcid.org/0000-0002-2394-2864

Funding

National Key Technology R & D Program of China 2022YFF0802102National Natural Science Foundation of China 31988102
6 · The paper itself

Abstract

Ecosystem respiration (ER) is the largest flux of carbon from land to the atmosphere and is strongly influenced by soil moisture. Nevertheless, the response of ER to soil moisture remains poorly understood. Here, the ER-soil moisture response curves at 135 sites from the global FLUXNET are analyzed. In contrast to the typically assumed monotonic increase in respiratory carbon emissions with increasing soil moisture derived from land surface models, the study shows that 106 sites exhibit a unimodal soil moisture response with a peak in ER at an apparent optimum soil moisture (SMER opt), implying a prevalent inhibitory effect of soil moisture excess on ER. Among the 12 biotic and abiotic variables examined, the SMER opt is mostly related to local water availability, with drier sites showing lower SMER opt than wetter sites, possibly reflecting water adaptation of ER. This adaptation is further supported by a field experiment that exclusively manipulates water and holds other factors constant, showing a downward shift in SMER opt after long-term water deficit. These results reveal the large variation of SMER opt and the water adaptation of ER, providing novel insights for understanding and forecasting carbon-climate feedbacks.

Indexed as

carbonecosystemoptimalityrespirationsoil moisture

Identifiers

PMID41168960
PMCPMC12806489

What OpenQuestion holds

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LicenceCC BY
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.