A quantum-hybrid ecological model for managing plant cultivation in saline and desert regions

The article considers the issue of scientifically based formation and management of the population of plants that restore the natural landscape, such as saxaul, yulgin, kandim and cherkes, in saline and severely degraded desert areas. These plants make a significant contribution to reducing wind erosion in the region, reducing soil salinity, restoring ecological stability and strengthening the feed base for livestock. The study proposes a hybrid mathematical model that describes their biomass growth, spatial distribution, competition and response to management influences. A computational approach based on a variational quantum algorithm is used to determine the central control parameter of the model. In this case, the optimal control value is found by minimizing the smallest value of the Hamiltonian energy. The spatial-temporal dynamics of plants is assessed through surface distribution maps of biomass, ecological stress indices, competition indicators, management costs and Hamiltonian evolution. The results have important practical significance in planning desert plant plantings, creating ecologically sustainable landscapes, and establishing sustainable agroecological systems in saline areas.

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