Non-overlapping Generations model template

Features:

• Ricker reproduction model
• dispersal
• suitability calculation (temperature)

library(metaRange)
library(terra)
set_verbosity(2)
# -------------------------------------
# ----- Setup of the environment: -----
# -------------------------------------

temperature <- rast(volcano + 150)
landscape <- sds(temperature)
names(landscape) <- c('temperature')


# -------------------------------------
# ----- Simulation code: --------------
# -------------------------------------



#### Create the simulation object
sim <- create_simulation(landscape)

sim$add_species(c('Species_ad8482'))

#### Add traits: ####
sim$add_traits("Species_ad8482", abundance =  100)
sim$add_traits("Species_ad8482", reproduction_rate =  0.5)
sim$add_traits("Species_ad8482", initial_reproduction_rate =  0.5)
sim$add_traits("Species_ad8482", carrying_capacity =  100)
sim$add_traits("Species_ad8482", initial_carrying_capacity =  100)
sim$add_traits("Species_ad8482", suitability =  1)
sim$add_traits("Species_ad8482", max_temperature =  310)
sim$add_traits("Species_ad8482", optim_temperature =  280)
sim$add_traits("Species_ad8482", min_temperature =  260)
sim$add_traits(
    "Species_ad8482",
    population_level = FALSE,
    dispersal_kernel = calculate_dispersal_kernel(
        max_dispersal_dist = 10,
        kfun = negative_exponential_function,
        mean_dispersal_dist = 5
    )
)


#### Add processes: ####

sim$add_process(
    species = "Species_ad8482",
    process_name = "calculate_suitability",
    process_fun = function() {
        self$traits$suitability <-
            calculate_suitability(
                vmax = self$traits$max_temperature,
                vopt = self$traits$optim_temperature,
                vmin = self$traits$min_temperature,
                venv = self$sim$environment$current$temperature
            )
    },
    execution_priority = 1
)

sim$add_process(
    species = "Species_ad8482",
    process_name = "reproduction",
    process_fun = function() {
        self$traits$abundance <-
            ricker_reproduction_model(
                abundance = self$traits$abundance,
                reproduction_rate = self$traits$reproduction_rate,
                carrying_capacity = self$traits$carrying_capacity * self$traits$suitability
            )
    },
    execution_priority = 2
)

sim$add_process(
    species = "Species_ad8482",
    process_name = "dispersal_process",
    process_fun = function() {
        self$traits$abundance <-
            dispersal(
                abundance = self$traits$abundance,
                dispersal_kernel = self$traits$dispersal_kernel,
                weights = self$traits$suitability
            )
    },
    execution_priority = 3
)
sim$add_process(
    species = "Species_ad8482",
    process_name = "plotting_Species_ad8482_abundance",
    process_fun = function() {
        plot_cols <- hcl.colors(100, "Purple-Yellow", rev = TRUE)
        plot(
            sim$Species_ad8482,
            trait = "abundance",
            main = "Species_ad8482 : abundance",
            col = plot_cols
        )
    },
    execution_priority = 4
)

#### Run the simulation: ####
sim$set_time_layer_mapping(rep(1, 10))
sim$begin()