Evidence map›Paper›PMID 42132066›Full record

ArticleGlobal change biology2026

Multi-Decadal Dynamics of Wetland Methane Emissions Revealed by Knowledge-Guided Machine Learning.

Qing Zhu, Kyle A Arndt, Kunxiaojia Yuan, Fa Li, Qing Ying, Licheng Liu, Eric Ward, Avni Malhotra, Jianqiu Zheng, Fenghui Yuan and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global change biology, 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

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

19 authors.

Qing ZhuClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0003-2441-944X
Kyle A ArndtWoodwell Climate Research Center, Falmouth, Massachusetts, USA.
Kunxiaojia YuanClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Fa LiDepartment of Earth System Science, Stanford University, Stanford, California, USA.
Qing YingEarth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA.
Licheng LiuUniversity of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-9649-1056
Eric WardEarth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA.
Avni MalhotraBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0002-7850-6402
Jianqiu ZhengBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0002-1609-9004
Fenghui YuanUniversity of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-1004-873X
Sparkle L MaloneYale School of the Environment, Yale University, New Haven, Connecticut, USA.ORCID 0000-0001-9034-1076
Gavin McNicolDepartment of Earth and Environmental Sciences, University of Illinois Chicago, Chicago, Illinois, USA.
Sara H KnoxDepartment of Geography, McGill University, Montreal, Quebec, Canada.
William J RileyClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Margaret S TornClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0002-8174-0099
Shuo ChenDepartment of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, Indiana, USA.
Ben Riddell-YoungCooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA.
Youmi OhCooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA.
Lori BruhwilerGlobal Monitoring Laboratory, NOAA, Boulder, Colorado, USA.

Funding

National Science Foundation #2153040U.S. Department of Energy DE‐AC02‐05CH11231
6 · The paper itself

Abstract

Measurement of methane fluxes (FCH

Indexed as

Environmental MonitoringMachine LearningMethaneWetlandsMethaneAmeriFlux sitesknowledge‐guided machine learninglong‐term trend and variabilitymethane emissionwetland

Identifiers

PMID42132066
PMCPMC13173497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.