recruitment | R Documentation |
recruitment
calculates the number of new recruits entering the
population
recruitment( t, cr, fdr, SSB, A = 5, R0 = 1e+05, H, B0, Eps, Sigma_R, Rec_age, Recruitment_mode, LDP = 0.1 )
t |
temporary numeric value, the current time step . |
cr |
temporary numeric value, the current control rule . |
fdr |
temporary numeric value, the current final target density ratio. |
SSB |
numeric array, the spawning stock biomass of the whole stock for each area, at each timestep, under each control rule, and for each estimate of natural mortality, in kg. |
A |
numeric value, the number of total areas in the model. Default value is 5. |
R0 |
numeric value, set arbitrarily, the unfished recruitment. Default value is 1e+5. |
H |
numeric value, the steepness of the stock-recruitment curve. |
B0 |
numeric value, the unfished biomass, in kg. |
Eps |
numeric matrix, the recruitment error terms. |
Sigma_R |
numeric value, the recruitment standard deviation. |
Rec_age |
numeric value, the age at recruitment, in years. |
Recruitment_mode |
character value, values can be: 'closed' - the recruits in each area originate from adults in that area. 'pool' - the recruits in each area come from a pool of larvae produced by adults in all areas. 'regional_DD' - larvae experience regional density dependence before settling evenly across all areas 'local_DD' - larvae experience local density dependence before settling evely across all areas Default value is 'pool'. |
LDP |
numeric value, the larval drift proportion, the proportion of larvae that drift from one area to an adjacent area before settling. Default value is 0.1. |
a numeric value representing the number of new recruits coming into the population in area a, at timestep t, under control rule cr.
A = 5; TimeT = 70; CR = 6; FDR = 4 SSB <- array(rep(10, A*TimeT*CR*FDR), c(A, TimeT, CR, FDR)) NuR <- array(rnorm(A*TimeT*CR*FDR, 0, 0.5), c(A, TimeT, CR, FDR)) Eps <- epsilon(A, TimeT, CR, FDR, NuR, Rho_R = 0) recruitment(t = 3, cr = 1, fdr = 1, SSB, A, R0 = 1e+5, H = 0.65, B0 = 1e+5/1.1, Eps, Sigma_R = 0.5, Rec_age = 2, Recruitment_mode = 'pool', LDP = 0.1)
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