Impact of incubation and gestation periods on the dynamics of a spatially heterogeneous eco-epidemiological model
Abstract This study investigates a spatiotemporal eco-epidemic model describing prey–predator dynamics in which the infectious disease affects only the prey population. The model incorporates prey refuge and intraspecific competition among predators and focuses on the stability of the interior equil...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-02778-2 |
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| Summary: | Abstract This study investigates a spatiotemporal eco-epidemic model describing prey–predator dynamics in which the infectious disease affects only the prey population. The model incorporates prey refuge and intraspecific competition among predators and focuses on the stability of the interior equilibrium to analyse disease-driven ecological interactions. Methodologically, this study first derived conditions for Turing instability in the non-delayed system, revealing how diffusion-driven spatial heterogeneity can destabilise homogeneous states. Subsequently, for both non-delayed and delayed systems, Hopf bifurcation analysis is performed to investigate the interaction of incubation and gestation delays both separately and together. Qualitative numerical simulations are conducted to validate the theoretical results. Key findings show that incubation delay causes Hopf bifurcation, therefore changing stability in non-diffusive as well as diffusive systems. Gestation delay may cause stability switching in non-diffusive environments by means of mismatched prey–predator growth-consumption rates. Spatial heterogeneity reduces the destabilisation effect of the gestation delay but loses this stabilising power under fixed incubation delay, stressing complicated delay-space interactions. These results highlight the vital impact of biological delays and spatial heterogeneity on eco-epidemic systems. The study underlines the importance of including temporal lags and spatial processes in forecasts of the effects of disease on ecological dynamics, therefore providing knowledge for conservation and outbreak management strategies. |
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| ISSN: | 2045-2322 |