Evidence map›Paper›PMID 41720786›Full record

SynthesisNature communications2026

Plant traits explain variation in symbiotic nitrogen fixation responses to global nitrogen enrichment: a meta-analysis.

Yanzhong Yao, Bingbing Han, Peter M van Bodegom, Xunzhuo Dong, Yunyao Zhong, Shuli Niu, Xinping Chen, Zhaolei Li

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 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. Review
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

8 authors.

Yanzhong YaoKey Laboratory of Low-carbon Green Agriculture in Southwestern China, Ministry of Agriculture and Rural Affairs; Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin; College of Resources and Environment, Southwest University, Chongqing, China.ORCID http://orcid.org/0000-0001-6378-4787
Bingbing HanKey Laboratory of Low-carbon Green Agriculture in Southwestern China, Ministry of Agriculture and Rural Affairs; Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin; College of Resources and Environment, Southwest University, Chongqing, China.ORCID http://orcid.org/0009-0007-6783-8149
Peter M van BodegomInstitute of Environmental Sciences, Leiden University, Leiden, The Netherlands.ORCID http://orcid.org/0000-0003-0771-4500
Xunzhuo DongKey Laboratory of Low-carbon Green Agriculture in Southwestern China, Ministry of Agriculture and Rural Affairs; Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin; College of Resources and Environment, Southwest University, Chongqing, China.ORCID http://orcid.org/0009-0002-8642-1019
Yunyao ZhongKey Laboratory of Low-carbon Green Agriculture in Southwestern China, Ministry of Agriculture and Rural Affairs; Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin; College of Resources and Environment, Southwest University, Chongqing, China.
Shuli NiuKey Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-2394-2864
Xinping ChenKey Laboratory of Low-carbon Green Agriculture in Southwestern China, Ministry of Agriculture and Rural Affairs; Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin; College of Resources and Environment, Southwest University, Chongqing, China.ORCID http://orcid.org/0000-0002-6245-0133
Zhaolei LiKey Laboratory of Low-carbon Green Agriculture in Southwestern China, Ministry of Agriculture and Rural Affairs; Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin; College of Resources and Environment, Southwest University, Chongqing, China. lizhaolei@swu.edu.cn.ORCID http://orcid.org/0000-0001-8767-1277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic nitrogen enrichment is widely expected to suppress symbiotic nitrogen fixation in terrestrial ecosystems. Nevertheless, observed symbiotic nitrogen fixation responses remain incompletely explained by exogenous nitrogen inputs, climate, and edaphic factors. In this meta-analysis, we integrate 908 globally distributed field measurements to identify the key predictors that improve simulation of symbiotic nitrogen fixation responses to nitrogen enrichment. On average, symbiotic nitrogen fixation declines by 33.0% upon nitrogen enrichment, with the reduction being more pronounced in non-croplands than croplands. Models considering only environmental factors overestimate symbiotic nitrogen fixation decline relative to observations. The better performance of plant traits like plant growth and biomass allocation (shoot:root ratio) partially buffer symbiotic nitrogen fixation suppression under nitrogen enrichment. Integrating both environmental factors and plant performance traits improves predictive accuracy of symbiotic nitrogen fixation responses by 42.7% and brings the simulated symbiotic nitrogen fixation reductions into close agreement with observations. The alterations in plant performance traits are thus critical for explaining variability in terrestrial symbiotic nitrogen fixation responses, and incorporating plant trait dynamics in Earth System Models can quantitatively partition the compensatory symbiotic nitrogen fixation supported by nitrogen-fixing plant growth from the direct negative impact of nitrogen inputs.

Indexed as

NitrogenNitrogen FixationPlantsSymbiosisBiomassEcosystemModels, BiologicalPlant DevelopmentPlant RootsNitrogen

Identifiers

PMID41720786
PMCPMC13035916

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.