Evidence map›Paper›PMID 41409709›Full record

ArticleNational science review2025

Dramatic biases in terrestrial nitrogen fixation in Earth System Models revealed by natural isotope signatures.

Maoyuan Feng, Shushi Peng, Philippe Ciais, Daniel S Goll, Benjamin Z Houlton, Ying-Ping Wang, Yilong Wang, Pan Liu, Joshua B Fisher, Pierre Regnier

Abstract read
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In one paragraph

Article in National science review, 2025. 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

10 authors.

Maoyuan FengSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, and Laboratory for Earth Surface Processes, Peking University, Beijing 100871, China.
Shushi PengSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, and Laboratory for Earth Surface Processes, Peking University, Beijing 100871, China.ORCID https://orcid.org/0000-0001-5098-726X
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette 91191, France.
Daniel S GollLaboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette 91191, France.
Benjamin Z HoultonDepartment of Ecology and Evolutionary Biology and Department of Global Development, Cornell University, Ithaca, NY 14853, USA.
Ying-Ping WangCSIRO Environment, Clayton South 3169, Australia.
Yilong WangState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
Pan LiuState Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China.
Joshua B FisherSchmid College of Science and Technology, Chapman University, Orange, CA 92866, USA.
Pierre RegnierDepartment of Geoscience, Environment & Society-BGEOSYS, Université Libre de Bruxelles, Brussels 1050, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological nitrogen fixation (BNF) is the primary input of new reactive nitrogen to natural terrestrial ecosystems. However, this flux is poorly constrained due to its unclear drivers and associated control mechanisms. Here, we extend the existing theory of nitrogen (N) isotope mass balance to estimate BNF rates and then use a Bayesian approach to constrain the BNF rates in natural terrestrial ecosystems by using measurements of natural N-isotope ratios (δ

Indexed as

Bayesian approachbiological nitrogen fixationmachine learningmycorrhizal funginitrogen isotope ratios

Identifiers

PMID41409709
PMCPMC12707069

What OpenQuestion holds

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Registered trials

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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.