2026-10-15T21:08:45Z https://data.mendeley.com/oai

oai:data.mendeley.com/sfgkfw3x7w.1 2025-03-27T15:58:14Z

Ngetich, Felix Kipchirchir Datasets for the article “Soil greenhouse gas emissions from different land utilization types in Western Kenya” Mendeley Data The datasets present greenhouse gas (GHG) flux measurements of carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O) from different land utilization types (LUTs) in Siaya County, Western Kenya. The five land utilization types include 1) agroforestry M (agroforestry Markhamia lutea and sorghum), 2) sole sorghum (sorghum monocrop), 3) agroforestry L (Sorghum and Leucaena leucocephala), 4) sole maize (maize monocrop), and 5) grazing land. GHG data were collected across two cropping seasons using static chamber methods and analyzed with gas chromatography. The dataset also provides detailed soil physicochemical parameters such as soil moisture, bulk density, organic carbon, and pH. These data are critical for understanding how various smallholder land management practices influence soil GHG emissions and their implications for climate-smart agricultural strategies and national GHG budgeting. The datasets are supplementary to the research article by Kibet, E., Musafiri, C.M., Kiboi, M., Macharia, J., Ng’etich, O.K., Kosgei, D.K., Mulianga, B., Okoti, M., Zeila, A. and Ngetich, F.K., 2022. Soil greenhouse gas emissions from different land utilization types in Western Kenya. Frontiers in Soil Science, 2, p.956634. https://doi.org/10.3389/fsoil.2022.956634 Greenhouse Gas Management Greenhouse Gas Emission Greenhouse Gas Accounting Greenhouse Gas Mitigation Agriculture Kibet, Esphorn Kiboi, Milka Musafiri, Collins Dataset doi:10.17632/sfgkfw3x7w.1 oai:data.mendeley.com/sfgkfw3x7w.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/sfgkfw3x7w 2025-03-27T15:58:14Z