Several reference MPs for your operating model to use in the management strategy
evaluation. FMSYref (and related) assume perfect information about FMSY (FMSY
is taken from the operating model stored at Data@Misc$ReferencePoints$ByYear$FMSY),
and set an effort limit (TAE) so that F=FMSY (or some fraction of FMSY) in
each year the MP is applied. NFref sets annual catch to zero and is used
for looking at variability in stock with no fishing.
FMSYref(x, Data, reps = 100, plot = FALSE)
FMSYref50(x, Data, reps = 100, plot = FALSE)
FMSYref75(x, Data, reps = 100, plot = FALSE)
NFref(x, Data, reps = 100, plot = FALSE)
curEref(x, Data, reps = 100, plot = FALSE)Arguments
- x
A position in the data object
- Data
A data object
- reps
The number of stochastic samples of the MP recommendation(s)
- plot
Logical. Show the plot?
Value
An object of class Rec with the TAC slot populated with a numeric vector of length reps
Details
Note that you can out-perform FMSYref easily. The requirement for fixed
F is actually quite strict and is by no means the upper limit in terms of
yield. Don't panic if your method beats this one for yield, especially for
short-lived species of high temporal variability in productivity!
Functions
FMSYref(): A reference FMSY method that fishes at FMSYFMSYref50(): A reference FMSY method that fishes at 50% of FMSYFMSYref75(): A reference FMSY method that fishes at 75% of FMSYNFref(): A reference MP that sets annual catch to almost zero (1e-15)curEref(): A reference MP that keeps fishing effort at the level of the last historical year
Required Data
See Data for information on the Data object
Examples
FMSYref(1, MSEtool::SimulatedData, plot=TRUE)
#> Effort
#> 1.888558
FMSYref50(1, MSEtool::SimulatedData, plot=TRUE)
#> Effort
#> 0.9442788
FMSYref75(1, MSEtool::SimulatedData, plot=TRUE)
#> Effort
#> 1.416418
NFref(1, MSEtool::SimulatedData, plot=TRUE)
#> TAC (median)
#> 1e-15
curEref(1, MSEtool::SimulatedData)
#> Effort
#> 1