#-------------------------------------------------------------------------------
# The annual fishing mortality is given as input data and the HCR
# just translates it into catch.
#
# The function is a copy-paste from IcesMSY HCR, but:
#
# 1. Target F is directly taken from ref.pts['Ftarget',year+1,]
#
#
# This HCR[['Ftarget']]
# 28/03/2014 13:15:58
#-------------------------------------------------------------------------------
F2CatchHCR <- function(stocks, advice, advice.ctrl, year, stknm,...){
# project the stock 3 years, (current year, TAC year, TAC year + 1 for ssb or biomass constraints).
nyears <- ifelse(is.null(advice.ctrl[[stknm]][['nyears']]), 3, advice.ctrl[[stknm]][['nyears']])
wts.nyears <- ifelse(is.null(advice.ctrl[[stknm]][['wts.nyears']]), 3, advice.ctrl[[stknm]][['wts.nyears']])
fbar.nyears <- ifelse(is.null(advice.ctrl[[stknm]][['fbar.nyears']]), 3, advice.ctrl[[stknm]][['fbar.nyears']])
f.rescale <- ifelse(is.null(advice.ctrl[[stknm]][['f.rescale']]), TRUE, advice.ctrl[[stknm]][['f.rescale']])
# disc.nyears <- ifelse(is.null(advice.ctrl[[stknm]][['disc.nyears']]), wts.nyears, advice.ctrl[[stknm]][['disc.nyears']])
stk <- stocks[[stknm]]
stk@harvest[stk@harvest < 0] <- 0.00001
ageStruct <- ifelse(dim(stk@m)[1] > 1, TRUE, FALSE)
stk <- stf(stk, nyears = 3, wts.nyears = 3, fbar.nyears = 3, f.rescale = f.rescale) #, disc.nyrs = disc.nyears)
# if(dim(stk@m)[1] == 1) stk@harvest[] <- stk@catch.n[]/stk@stock.n[]
ref.pts <- advice.ctrl[[stknm]]$ref.pts # matrix[6,it] rows = Bmsy, MSY, alpha_0, alpha_1, alpha_2, beta
Cadv <- ifelse(advice.ctrl[[stknm]][['AdvCatch']][year+1] == TRUE, 'catch', 'landings')
iter <- dim(stk@m)[6]
yrsnames <- dimnames(stk@m)[[2]]
yrsnumbs <- as.numeric(yrsnames)
assyrname <- yrsnames[year]
assyrnumb <- yrsnumbs[year]
# Build fwd.ctrl.
#-----------------
# Last SSB (Age structured) OR Biomass (Aggregated) estimate
if(ageStruct)
b.datyr <- ssb(stk)[,year-1,drop = TRUE] # [it]
else
b.datyr <- (stk@stock.n*stk@stock.wt)[,year-1,drop = TRUE] # [it]
Ftg <- ref.pts['Ftarget',year+1,]
print(Ftg)
int.yr <- advice.ctrl[[stknm]]$intermediate.year
for(i in 1:iter){
if(is.na(Ftg[i]) | Ftg[i] == 0){
advice[['TAC']][stknm,year+1,,,,i] <- 0
next
}
int.yr <- ifelse(is.null(int.yr), 'Fsq', int.yr)
if(int.yr == 'Fsq')
fwd.ctrl <- fwdControl(data.frame(year = c(0, 1), val = c(1, Ftg[i]), quantity = c( 'f', 'f'), rel.year = c(-1,NA)))
else
fwd.ctrl <- fwdControl(data.frame(year = c(0, 1), val = c(advice$TAC[stknm,year, drop=TRUE][i], Ftg[i]), quantity = c( 'catch', 'f')))
# Refresh the years in fwd!!
fwd.ctrl@target$year <- fwd.ctrl@target$year + assyrnumb
fwd.ctrl@target$rel.year <- fwd.ctrl@target$rel.year + assyrnumb
stki <- iter(stk, i)
# if in <year 0> quantity = catch => set TAC in <year 0> in val
if(fwd.ctrl@target[fwd.ctrl@target$year == assyrnumb,'quantity'] == 'catch'){
k <- which(fwd.ctrl@target$year == assyrnumb)
fwd.ctrl@target[k,'val'] <- advice$TAC[stknm,year,,,,i]
fwd.ctrl@trgtArray[k, 'val',] <- advice$TAC[stknm,year,,,,i]
}
# if(stknm == 'CMON') browser()
if(dim(stki@m)[1] > 1){
# First estimate/extract the SR model and params.
sr.pars <- advice.ctrl[[stknm]]$sr$params # sr parameters if specified.
sr.model <- advice.ctrl[[stknm]]$sr$model # sr model, mandatory.
if(is.null(sr.pars)){ # if params missing => estimate the parameters using the specified years.
if(is.null(advice.ctrl[[stknm]]$sr$years)) sr.yrs <- which(round(quantSums(stocks[[stknm]]@stock.n))!=0)[1]:(year-1) # yr0 missing => use all data years.
else{
y.rm <- as.numeric(advice.ctrl[[stknm]]$sr$years['y.rm'])
nyrs <- as.numeric(advice.ctrl[[stknm]]$sr$years['num.years'])
sr.yrs <- yrsnames[(year-y.rm-nyrs + 1):(year-y.rm)]
}
rec <- stki@stock.n[1,sr.yrs]
ssb <- ssb(stki)[,sr.yrs]
# if rec.age != 0 adjust rec and ssb.
rec.age <- as.numeric(dimnames(rec)[[1]])
if(rec.age != 0){
rec <- rec[, -(1:rec.age),]
ssb <- ssb[, 1:(dim(ssb)[2] - rec.age),]
}
if(sr.model != 'geomean') sr.pars <- try(params(sr(FLSR(rec = rec, ssb = ssb, model = sr.model))), silent = TRUE)
if(class(sr.pars) == 'try-error' | sr.model == 'geomean'){
sr.model <- 'geomean'
sr.pars <- c(prod(c(rec))^(1/length(c(rec))))
sr.pars <- FLPar(a = ifelse(is.na(sr.pars), 0, sr.pars))
}
sr1 <- sr.pars
}
else{ # sr.pars not null
if(i == 1){
sr1 <- iter(sr.pars,i)
}
sr1[] <- iter(sr.pars,i)[]
}
stki <- fwd(stki, ctrl = fwd.ctrl, sr = list(model =sr.model, params = sr1))
}
else{
# Extract the years to calculate the mean historical growth of the stock
if(is.null(advice.ctrl[[stknm]]$growth.years)) growth.years <- max(1,(year - 11)):(year-1)
else{
y.rm <- as.numeric(advice.ctrl[[stknm]]$growth.years['y.rm'])
nyrs <- as.numeric(advice.ctrl[[stknm]]$growth.years['num.years'])
growth.years <- yrsnames[(year-y.rm-nyrs + 1):(year-y.rm)]
}
stki <- fwdBD(stki, fwd.ctrl, growth.years)
}
yy <- ifelse(slot(stki, Cadv)[,year+1] == 0, 1e-6, slot(stki, Cadv)[,year+1])
advice[['TAC']][stknm,year+1,,,,i] <- yy # The TAC is given in terms of CATCH.
# cat('---------------- HCR------------------------\n')
# cat(c(fbar(stki)[,(year-1):year]), '\n')
# cat('-------------------------------------------\n')
# save(stki, file = 'stki.RData')
}
return(advice)
}
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