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A coupled land use change-ecohydrological model for multi-seasonal arid agricultural systems: an Egyptian case study

Sattar, Aimen ; Moulds, Simon; Brown, Calum ORCID iD icon 1; Rounsevell, Mark D. A. ORCID iD icon 1; Alexander, Peter
1 Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Modelling interactions between climate, water, crops, and human decision-making requires coupling of biophysical and socioeconomic processes to model outcomes and explore potential futures. This study presents a novel coupled model of land-use change and ecohydrological processes in arid agricultural systems. The model links SWAT+, which simulates ecohydrological processes, including crop growth and irrigation water use, with CRAFTY, an agent-based framework that allocates land according to agent characteristics and resource conditions. Egypt is used as a case study where climate and socioeconomic stressors constrain agricultural production. The coupling captures how shifts in potential yields, driven by elevated CO$_2$ and warming, shape land-use change. Crop yields vary by crop and scenario, with the largest gains – and declines – under high-emission futures, while water use efficiency consistently improves, especially at higher CO$_2$ concentrations. Relying on open global datasets, the model provides a transferable approach for exploring climate adaptation in data-scarce, water-limited regions.


Verlagsausgabe §
DOI: 10.5445/IR/1000189422
Veröffentlicht am 08.01.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 02.2026
Sprache Englisch
Identifikator ISSN: 1364-8152, 1873-6726
KITopen-ID: 1000189422
Erschienen in Environmental Modelling and Software
Verlag Elsevier
Band 197
Seiten 106845
Schlagwörter Coupled modelling, Crop yield, Water use, CO2 fertilisation, Adaptation, Arid agriculture
Nachgewiesen in Scopus
OpenAlex
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Web of Science
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