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nemoFunctionExplainer.ini
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##Simulation##
filename #names the file
generations #Specifies the amount of generations
random_seed #sets random seed
replicates #Sepcifies amount of replicates
root_dir #root directory of the results
run_mode #whether or not to overwrite the files already present in the directory
#Numbers of the selection files ##
aaparam
abparam
acparam
#place holders to specify autocorrelation levels, matrices, selection parameters, mutation rate and phenotypic plasticity/plasticty
#Return as %1 %2 %3 respectively. In the burn in population it's used to load in files containing these parameters
##Population Structure ##
patch_capacity #number of individuals at start
patch_number #number of patches used (always set to 1 in our case)
pop_age_structure #Maximum age individuals can reach is set in a way that it's not reached in our simulations
pop_leslie_matrix #Select population matrices to load
source_pop #select source population to load
source_preserve #keep genetic background and population structure from source population
## Quantitive Traits ##
quanti_loci 10 #number of loci present (always set to 10)
quanti_mutation_rate #Mutation rate
quanti_mutation_variance 0.05 #mutation variance always set to 0.05
quanti_traits 1 #Number of traits (always set to 1)
## LCE ## #Order of life history events
regulation 1 #Density dependent regulation
viability_selection 2 #selection
breed 3 #breeding
aging_multi 4 #aging (See figure 2 manuscript
save_stats 5 #census
save_files 6 #writing of the files
## Regulation ##
regulation_by_competition 0.0001 #beverton holt m variable
regulation_by_competition_affected_age {{1,2}} #Life stages affected
regulation_by_competition_dominant_age {{1,2}} #Life stages counted as population size
## Breeding ##
fecundity_distribution poisson #What distribution number of offspring is drawn from
mating_system 1 #which mating system (set to random mating)
sex_ratio_mode fixed #50% chance for male and female individuals
## Selection ##
age_classes_selected {{1,2}} #Which age classes does selection act on
selection_age_variance {{5}} #Selection variance
selection_model gaussian #Selection model
selection_trait quant #Trait that's used is a quantitive trait
selection_trait_dimension 1 #No covariation between traits
selection_local_optima &autoCors/Auto_%1 #Optimum of the selection function
selection_phenotypic_plasticity &plasticity/pla%1.txt #intercept of the reaction norm (see figure 2)
selection_local_optima_lastyear 1 #Whether plasticity is timelagged or not
## Output ##
stat demography fecundity fitness quanti #Which stats to output
stat_dir results5 #where to save the stats
stat_log_time 1 #at which year interval to save the stats