A process-based model for forecasting the spread of forest/agricultural pests or pathogens. This model accounts for weather and environmental effects on reproduction and survival through multiple stochastic simulations. It propagates uncertainty in parameters, initial conditions, and drivers, similar to pops_multirun, but directly exports raw outputs from pops_model.
Details
When to Use PoPS Lite: - To export raw simulation data from the `pops_model` function - Extent or resolution constraints make `pops_multirun` impractical due to time or computational constraints.
Multiple Random Seed handling: - If use_multiple_random_seeds = TRUE and multiple_random_seeds_file = NULL in the `config_rds_file`, a new set of random seeds will be sampled and exported as [unique_id]_forecast_random_seeds.csv in the output folder. - The same [unique_id] is used for raw output files to link seeds with their respective runs.