Metapopulation Structure Predicts Population Dynamics in the Cakile maritima-Alternaria brassicicola Host-Pathogen...

Area of Science:

• Ecology
• Plant Pathology
• Epidemiology

Background:

• Symbiotic interactions create interdependent demographic dynamics, complicating the assessment of biotic and abiotic factors.
• Spatiotemporal variation in one species' dynamics creates landscape heterogeneity for its symbiont.

Purpose of the Study:

• To investigate the metapopulation dynamics of the succulent plant *Cakile maritima* and the fungus *Alternaria brassicicola*.
• To determine how habitat quality, weather, dispersal, and spatial structure influence plant-fungus metapopulation dynamics.
• To assess the predictability of disease dynamics using spatially explicit modeling.

Main Methods:

• Conducted a detailed survey of three metapopulations along the southeastern Australian coast.
• Employed synchrony analysis, patch occupancy dynamics, and a spatially explicit metapopulation model.
• Collected extensive data on host and pathogen population dynamics.

Main Results:

• Climatic conditions were identified as key drivers of population synchrony.
• Host availability, landscape features aiding dispersal, and habitat conditions influenced disease occurrence and spread.
• Spatially explicit epidemiological modeling accurately predicted disease dynamics despite host variability.

Conclusions:

• Accurate prediction of disease dynamics is achievable through integrated data collection and modeling.
• Genetic information may further enhance the prediction of demographic dynamics in pathosystems.
• Understanding environmental and landscape factors is crucial for managing symbiotic interactions and disease spread.