A crop-specific and time-variant spatial framework for characterizing rainfed wheat production environments in Ethiopia
cg.contributor.affiliation | University of Montpellier | |
cg.contributor.affiliation | French Agricultural Research Centre for International Development | |
cg.contributor.affiliation | International Institute of Tropical Agriculture | |
cg.contributor.affiliation | International Center for Tropical Agriculture | |
cg.contributor.affiliation | Bioversity International and the International Center for Tropical Agriculture | |
cg.contributor.affiliation | International Maize and Wheat Improvement Center | |
cg.contributor.affiliation | International Center for Tropical Agriculture | |
cg.contributor.affiliation | Alliance for a Green Revolution in Africa | |
cg.contributor.donor | Agence Nationale de la Recherche, France | |
cg.contributor.initiative | Excellence in Agronomy | |
cg.coverage.country | Ethiopia | |
cg.coverage.iso3166-alpha2 | ET | |
cg.coverage.region | Eastern Africa | |
cg.creator.identifier | Lulseged Tamene: 0000-0002-4846-2330 | |
cg.creator.identifier | Gerald Blasch: 0000-0002-8265-0052 | |
cg.creator.identifier | Wuletawu Abera: 0000-0002-3657-5223 | |
cg.creator.identifier | Tesfaye Shiferaw Sida: 0000-0001-6482-2669 | |
cg.creator.identifier | Kindie Tesfaye: 0000-0002-7201-8053 | |
cg.creator.identifier | Marc Corbeels: 0000-0002-8084-9287 | |
cg.creator.identifier | João Vasco Silva: 0000-0002-3019-5895 | |
cg.howPublished | Formally Published | |
cg.identifier.doi | https://doi.org/10.1016/j.agsy.2025.104360 | |
cg.identifier.url | https://hdl.handle.net/10883/35705 | |
cg.isijournal | ISI Journal | |
cg.issn | 0308-521X||1873-2267 | |
cg.journal | Agricultural Systems | |
cg.reviewStatus | Peer Review | |
dc.contributor.author | Gelagay, Habtamu S. | |
dc.contributor.author | Leroux, Louise | |
dc.contributor.author | Tamene, Lulseged | |
dc.contributor.author | Chernet, Meklit T. | |
dc.contributor.author | Blasch, Gerald | |
dc.contributor.author | Tibebe, Degefie | |
dc.contributor.author | Wuletawu Abera | |
dc.contributor.author | Sida, Tesfaye S. | |
dc.contributor.author | Fantaye, Kindie Tesfaye | |
dc.contributor.author | Corbeels, Marc | |
dc.contributor.author | Silva, João Vasco | |
dc.date.accessioned | 2025-06-16T21:52:53Z | |
dc.date.available | 2025-06-16T21:52:53Z | |
dc.identifier.uri | https://hdl.handle.net/10568/175115 | |
dc.title | A crop-specific and time-variant spatial framework for characterizing rainfed wheat production environments in Ethiopia | en |
dcterms.abstract | Context: Characterizing crop production environments is essential for targeted interventions, resource allocation, scaling localized findings, and agricultural decision-making. However, existing methods lack the spatial and temporal rigor required to capture spatial and temporal variability in crop production environments. Objective: This study aimed to introduce a data-driven and dynamic spatial framework that integrates crop area mapping with the delineation of agro-ecological spatial units (ASUs) to characterize Ethiopia's rainfed wheat crop production environments. Methods: Annual rainfed wheat areas for the 2021 and 2022 Meher growing seasons were mapped using an ensemble machine-learning approach, leveraging time-series satellite images and environmental data. Dynamic ASUs were delineated using pixel- and object-based clustering methods, considering short-term changes (annual ASUs for 2021 and 2022) and longer-term trends (ASUs developed using data aggregated over the period 2016-2022). Clustering was based on key biophysical variables, including climatic, soil, topographic, and vegetation indices derived from satellite images that capture crop growth and development over space and time. Results and conclusions: The framework captured the spatial and temporal variability of wheat production environments, demonstrating its scalability across space and time. Rainfed wheat area mapping across two growing seasons revealed an expansion in rainfed wheat areas, highlighting the evolving nature of rainfed wheat cultivation in Ethiopia. The integration of rainfed wheat area mapping with dynamic ASU delineation identified five main production environments for wheat in Ethiopia, allowing to better target future research and development activities toward increasing wheat productivity in the country. Significance: The developed framework can facilitate agronomic assessments and inform the targeting of agricultural interventions, with potential applications that extend beyond this case study of rainfed wheat in Ethiopia. | en |
dcterms.accessRights | Open Access | |
dcterms.available | 2025-05-02 | |
dcterms.bibliographicCitation | Gelagay, H. S., Leroux, L., Tamene, L., Chernet, M., Blasch, G., Tibebe, D., Abera, W., Sida, T., Tesfaye, K., Corbeels, M., & Silva, J. V. (2025). A crop-specific and time-variant spatial framework for characterizing rainfed wheat production environments in Ethiopia. Agricultural Systems, 227, 104360. https://doi.org/10.1016/j.agsy.2025.104360 | |
dcterms.issued | 2025-06 | |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.publisher | Elsevier | |
dcterms.subject | crops | |
dcterms.subject | crop production | |
dcterms.subject | remote sensing | |
dcterms.subject | wheat | |
dcterms.subject | spatial units | |
dcterms.type | Journal Article |