pop_dynamics | R Documentation |
pop_dynamics
returns updated values for fishing mortality, numbers at
age, abundance of all and mature individuals, biomass, and spawning stock
biomass in a specific area, at a specific time step, under a specific
control rule
pop_dynamics( t, cr, fdr, Rec_age, Max_age, SSB, N, W, Mat, A = 5, Fb, E, S, FM, A50_mat, Biomass, Abundance, Fishing = T, Nat_mortality, R, Ind_sampled = "all" )
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. |
Rec_age |
numeric value, the age at recruitment, in years. |
Max_age |
numeric value, the maximum age or total lifespan, in years. |
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. |
N |
numeric array, the number of individuals at each age, in each area, at each timestep, under each control rule, and for each estimate of natural mortality. |
W |
numeric vector, the estimated weight at age from age at recruitment to maximum age, in kg. |
Mat |
numeric vector, the estimated fraction of individuals mature at each age, from age at recruitment to maximum age, on the interval (0, 1). |
A |
numeric value, the number of total areas in the model. Default value is 5. |
Fb |
numeric value, the historical fishing effort for the fished species. |
E |
numeric array, the relative fishing effort displayed in each area, at each time step, under each control rule, and for each natural mortality estimate. |
S |
numeric vector, the selectivities at age from age at recruitment to maximum age, on the interval (0, 1). |
FM |
numeric array that corresponds to the fishing mortality at each age in each area, at each timestep, under all control rules, with all estimates of natural mortality. |
A50_mat |
numeric value, the first age at which 50% or more individuals are estimated to be mature. on the interval (Rec_age, Max_age). |
Biomass |
numeric array, the total biomass in each area, at each time step, under all control rules, with all estimates of natural mortality, in kg. |
Abundance |
numeric array, the total number of all and/or mature individuals in each area, at each timestep, under all control rules, with all estimates of natural mortality. |
Fishing |
logical value, is fishing occurring? Default value is TRUE. |
Nat_mortality |
numeric vector, the estimates of natural mortality. |
R |
numeric vector, the estimated recruits coming into each area at the current time step, under the current control rule, and with the current estimate of natural mortality. |
Ind_sampled |
character value, the individuals to be sampled to calculate density ratio. Values can be: 'all' - sample all individuals. 'mature' - sample only mature individuals. Default value is 'all'. |
numeric arrays, with updated values of fishing mortality (FM), numbers at age (N), Abundance, Biomass, and spawning stock biomass (SSB).
n = 34; A = 5; TimeT = 70; CR = 6; FDR = 4 SSB <- array(rep(548, A*TimeT*CR*FDR), c(A, TimeT, CR, FDR)) Biomass <- array(rep(568, A*TimeT*CR*FDR), c(A, TimeT, CR, FDR)) Abundance <- array(rep(3400, A*TimeT*CR*FDR*1), c(A, TimeT, CR, FDR, 1)) N <- array(rep(10, n*A*TimeT*CR*FDR), c(n, A, TimeT, CR, FDR)) FM <- array(rep(0.2, n*A*TimeT*CR*FDR), c(n, A, TimeT, CR, FDR)) L <- length_age(Rec_age = 2, Max_age = 35, A1 = 5, L1 = 32.21, A2 = 15, L2 = 47.95, K = 0.2022, All_ages = FALSE) W <- weight(L, WA = 1.68e-5, WB = 3) Mat <- maturity(Rec_age = 2, Max_age = 35, K_mat = -0.4103, L, L50 = 39.53) E <- array(rep(1, A*TimeT*CR*FDR), c(A, TimeT, CR, FDR)) S <- selectivity(Rec_age = 2, Max_age = 35, A1 = 5, L1 = 32.21, A2 = 15, L2 = 47.95, K = 0.2022, Fleets = c('sport', 'hook', 'trawl'), A50_up = c(2, 5, 10), A50_down = c(6, 16, 35), Alpha = c(0.33, 0.6, 0.64), F_fin = c(0.25, 0.06, 1), Beta = c(1.2, 0.6, 0), Cf = c(0.71, 0.28, 0.01)) 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) R <- 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) pop_dynamics(t = 3, cr = 1, fdr = 1, Rec_age = 2, Max_age = 35, SSB, N, W, Mat, A, Fb = 0.2, E, S, FM, A50_mat = 8, Biomass, Abundance, Fishing = TRUE, Nat_mortality = c(0.14, 0.09, 0.19), R, Ind_sampled = 'all')
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