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

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. • Coupled land-use change and ecohydrological model developed for arid agriculture. • Simulates feedback between crop yields, water use, and land-use change. • Potential yield projections include CO 2 fertilisation and climate scenarios. • Adaptive land-use shifts analysed under stylised socioeconomic conditions. • Model uses global open-access data for transferability across regions.

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Publication Details

Journal
Environmental Modelling & Software
Published
2025-12-26
DOI
https://doi.org/10.1016/j.envsoft.2025.106845
Primary Topic
Climate change impacts on agriculture
Type
article
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article

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

Simon Moulds, Aimen Sattar, Peter Alexander, Calum Brown et al.
Environmental Modelling & Software
Climate change impacts on agriculture
article

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

Simon Moulds, Aimen Sattar, Peter Alexander, Calum Brown, Mark Rounsevell
article en

Abstract

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. • Coupled land-use change and ecohydrological model developed for arid agriculture. • Simulates feedback between crop yields, water use, and land-use change. • Potential yield projections include CO 2 fertilisation and climate scenarios. • Adaptive land-use shifts analysed under stylised socioeconomic conditions. • Model uses global open-access data for transferability across regions.

Environmental Modelling & SoftwareVol. 197
Karlsruhe Institute of Technology (DE), NHS Highland (GB), University of the Highlands and Islands (GB), University of Edinburgh (GB)
Climate action
Openalex Percentile: Top 24%
Climate change impacts on agriculture
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A coupled land use change-ecohydrological model for multi-seasonal arid agricultural systems: an Egyptian case study — Simon Moulds, Aimen Sattar, et al. · Environmental Modelling & Software (2025) | TGRS Research Map | TGRS