Evidence map›Paper›PMID 41764258›Full record

ArticleScientific reports2026

Soil nitrous oxide and methane emissions in contrasting land use of the West African Sudanian savanna.

Francis E Oussou, Ralf Kiese, Souleymane Sy, Jan Bliefernicht, Ines Spangenberg, Samuel Guug, Anja Schäfler-Schmid, Rainer Steinbrecher, Frank Neidl, Michael Ayamba and 13 more

Abstract read
In one paragraph

Article in Scientific reports, 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

23 authors.

Francis E OussouWest African Science Service Center on Climate Change and Adapted Land-Use (WASCAL), Department of Meteorology and Climate Science, Federal University of Technology Akure, Akure, Nigeria. francisoussou@gmail.com.
Ralf KieseInstitute for Meteorology and Climate Research, Karlsruhe Institute of Technology, Atmospheric Environmental Research (IMK-IFU), Garmisch- Partenkirchen, Germany.
Souleymane SyInstitute of Geography, University of Augsburg, Augsburg, Germany.
Jan BliefernichtInstitute of Geography, University of Augsburg, Augsburg, Germany.
Ines SpangenbergInstitute of Geography, University of Augsburg, Augsburg, Germany.
Samuel GuugInstitute of Geography, University of Augsburg, Augsburg, Germany.
Anja Schäfler-SchmidInstitute for Meteorology and Climate Research, Karlsruhe Institute of Technology, Atmospheric Environmental Research (IMK-IFU), Garmisch- Partenkirchen, Germany.
Rainer SteinbrecherInstitute for Meteorology and Climate Research, Karlsruhe Institute of Technology, Atmospheric Environmental Research (IMK-IFU), Garmisch- Partenkirchen, Germany.
Frank NeidlInstitute for Meteorology and Climate Research, Karlsruhe Institute of Technology, Atmospheric Environmental Research (IMK-IFU), Garmisch- Partenkirchen, Germany.
Michael AyambaWest African Science Service Centre on Climate Change and Adapted Land Use, WASCAL Competence Centre, Ouagadougou, Burkina Faso.
Luitpold HingerlInstitute of Geography, University of Augsburg, Augsburg, Germany.
Emmanuel QuansahDepartment of Meteorology and Climate Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Alex FrempongDepartment of Meteorology and Climate Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Patrick DaviesDepartment of Meteorology and Climate Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Windmanagda SawadogoInstitute of Geography, University of Augsburg, Augsburg, Germany.
Christiana F OlusegunDepartment of Earth & Environmental Sciences, Michigan State University, East Lansing, MI, 48824, USA.
Ricky M MwanakeInstitute for Meteorology and Climate Research, Karlsruhe Institute of Technology, Atmospheric Environmental Research (IMK-IFU), Garmisch- Partenkirchen, Germany.
Nicaise YaloLaboratoire d'Hydrologie Appliquée, Institut National de l'Eau (INE), Université d'Abomey-Calavi, Cotonou, Benin.
Yinusa A Asiwaju-BelloDepartment of Applied Geology, Federal University of Technology Akure, Akure, Nigeria.
Moussa BoukariLaboratoire d'Hydrologie Appliquée, Institut National de l'Eau (INE), Université d'Abomey-Calavi, Cotonou, Benin.
Leonard K AmekudziDepartment of Meteorology and Climate Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Kehinde OgunjobiWest African Science Service Centre on Climate Change and Adapted Land Use, WASCAL Competence Centre, Ouagadougou, Burkina Faso.
Harald KunstmannInstitute of Geography, University of Augsburg, Augsburg, Germany. harald.kunstmann@kit.edu.

Funding

Bundesministerium für Bildung und Forschung 01LG2089ADAAD-Stiftung 57733724
6 · The paper itself

Abstract

Changes in land use and land management can have significant effects on the global emissions budget, influencing the climate through biogeochemical processes. However, their impacts on major soil greenhouse gas (GHG) emissions in West Africa remain poorly documented and understood. This study provides the assessment of soil GHG emissions in the Sudanian savanna region of West Africa using a chamber-based experimental setup. The measurements are taken at four sites with contrasting land use and land management practices: pristine savanna forest, cropland, degraded grassland, and a rainfed rice field. Over two consecutive years (2023-2024) of weekly chamber measurements during the rainy season (corresponding to the rice-growing period), our results reveal significant variation in methane (CH

Indexed as

CH4 fluxChamber measurementsLand useN2O emissionSudanian savannaWest Africa

Identifiers

PMID41764258
PMCPMC13057181

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.