F_calc | R Documentation |
Calculations of stock dependent quantities over a range of fishing mortalities (F).
This code calculates spawning potential ratio (SPR), and then maximum sustainable
yield (MSY) using equilibrium methods incorporating a Beverton-Holt stock-recruit relationship.
Many of the calculations, particularly the MSY calculations, are based on code
in the Beaufort Assessment Model. This function is essentially the same as the
get_msy
function, but is not as specific to BAM.
F_calc(
ac,
h = NULL,
R0 = NULL,
rec_sigma = 0,
M,
Fmax = 1,
F_n = 101,
sel_L,
sel_D,
PS,
w,
ep,
Px = 0.4,
P_st = 0.5,
plots = FALSE,
plus_group = TRUE,
plot_digits = 3
)
ac |
age classes. numeric vector |
h |
Beverton-Holt steepness parameter |
R0 |
Beverton-Holt R0 parameter. Numbers of fish at age-a (often age-0 or age-1). |
rec_sigma |
recruitment standard deviation in log space. used to compute lognormal bias correction – exp(sigma^2/2) |
M |
Natural mortality rate |
Fmax |
Maximum fishing mortality rate |
F_n |
Number of fishing mortality rates to try |
sel_L |
Selectivity at age for landings |
sel_D |
Selectivity at age for discards |
PS |
Proportion of fish to include in stock calculation, at age (e.g. mature females at age) |
w |
weight at age in any units, used to convert numbers-at-age to weight-at-age. Results in weight will be in these units. |
ep |
egg production proxy at age (e.g. weight, fecundity) |
Px |
reference proportion of unfished spawning potential ratio (e.g. Px=.40) |
P_st |
Time of year when spawning occurs, as a proportion. |
plots |
logical. Draw plots? |
plot_digits |
number of significant digits to show in plot |
Erik Williams, Kyle Shertzer, and Nikolai Klibansky
rdat <- rdat_VermilionSnapper
pr <- rdat$parms
as <- rdat$a.series
F_calc(ac=as$age, h=pr$BH.steep, R0=pr$R0,rec_sigma=rdat$parms$R.sigma.par, M=as$M,
sel_L=rdat$sel.age$sel.v.wgted.L, sel_D=rdat$sel.age$sel.v.wgted.D,
PS=rep(1,length(as$age)), w=as$wholewgt.wgted.L.klb, ep=as$reprod,
plots=TRUE,P_st=rdat$parms$spawn.time,plot_digits=4)
# When there is no SRR, the function will still compute SPR without computing MSY-based equilibrium values
rdat <- rdat_RedSnapper
pr <- rdat$parms
as <- rdat$a.series
F_calc(ac=as$age, M=as$M, sel_L=rdat$sel.age$sel.v.wgted.L, sel_D=rdat$sel.age$sel.v.wgted.D,
PS=rep(1,length(as$age)), w=as$wholewgt.wgted.L.klb, ep=as$reprod,
plots=TRUE,P_st=rdat$parms$spawn.time,plot_digits=4)
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