Spatiotemporal landscape modeling using cellular automata: a prospective approach in the Solís Dam watershed
Published 2026-03-04
How to Cite
Copyright (c) 2026 Martha Sofia Medina Acuña, Michelle Farfán Gutierréz, Ismael Orozco Medina

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abstract
Anticipating land cover and use changes is vital to understanding and mitigating their impacts on the hydrological cycle, aquifer recharge, droughts, flood risks, and environmental degradation. Hence, this study focused on assessing, through cellular automata, land cover and land use changes projected to the year 2035. The case study was conducted in the contributing watershed of the Solís Reservoir. Results demonstrated substantial changes, notably a 90.54% increase in urban expansion, a 25.07% decline in forest cover, and a 2.72% reduction in agricultural land. It is highlighted that it is important to promote land-use planning instruments fostering responsible land use practices and supporting the restoration and protection of forest cover.
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