Nitrous oxide emissions from African Grasslands

DOI

This comprehensive dataset collection presents nitrous oxide (N2O) flux measurements from 27 sites across six African countries, spanning multiple land use types including croplands, forests, tea plantations, coffee plantations, and grasslands. The data encompasses 5,280 daily observations collected between 2005 and 2025, representing one of the most extensive N2O emission datasets from tropical Africa. Each observation includes 26 environmental covariates: meteorological conditions, soil properties, and agricultural management practices. N2O fluxes ranged from -21.15 to 242.35 μg N2O-N m² h, with distinct patterns across land use types. The dataset supports research on greenhouse gas emissions from tropical ecosystems and the development of process-based biogeochemical models for African environments.

Identifier
DOI https://doi.org/10.1594/PANGAEA.987305
Related Identifier IsPartOf https://doi.org/10.1594/PANGAEA.987298
Related Identifier References https://doi.org/10.1038/s41467-022-27978-6
Related Identifier References https://doi.org/10.5194/bg-22-1529-2025
Related Identifier References https://doi.org/10.1111/gcb.13944
Related Identifier References https://doi.org/10.1007/s10705-014-9636-7
Related Identifier References https://doi.org/10.1002/2015JG002913
Related Identifier References https://doi.org/10.1016/j.fcr.2022.108788
Related Identifier References https://doi.org/10.1016/j.agee.2022.108207
Related Identifier References https://doi.org/10.5194/bg-17-2149-2020
Related Identifier References https://doi.org/10.1016/j.scitotenv.2017.12.081
Related Identifier References https://doi.org/10.1016/j.agrformet.2019.05.009
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.987305
Provenance
Creator Agredazywczuk, Phillip ORCID logo; Ouma, Turry; Barthel, Matti; Otinga, Abigael; Njoroge, Ruth; Butterbach-Bahl, Klaus ORCID logo; Daelman, Roxanne; Hickman, Jonathan; Ibrahim, Wanyama; Laub, Moritz; Leitner, Sonja; Shumba, Armwell; Tully, Katherine; Wachiye, Sheila; Zheng, Jinsen; Bauters, Marijn ORCID logo; Kiese, Ralf ORCID logo; Cardinael, Rémi; Balokah, Rita; Christian, Andreas; Kesia, Lourenco; Ouattara, Kakira; Harris, Eliza; Six, Johan ORCID logo
Publisher PANGAEA
Publication Year 2026
Funding Reference Swiss National Science Foundation https://doi.org/10.13039/501100001711 Crossref Funder ID 207348 https://data.snf.ch/grants/grant/207348 N2O-SSA: Combining measurements, modelling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 5175 data points
Discipline Environmental Research; Geosciences; Land Use; Natural Sciences
Spatial Coverage (35.430W, -3.548S, 38.227E, -0.280N); Africa
Temporal Coverage Begin 2017-01-12T00:00:00Z
Temporal Coverage End 2019-08-11T00:00:00Z