CC1.Rd
The TAC is the average historical catch over the last yrsmth
(default 5) years,
multiplied by (1-xx
)
CC1(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0)
CC2(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.1)
CC3(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.2)
CC4(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.3)
CC5(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.4)
CurC(x, Data, reps = 100, plot = FALSE, yrsmth = 1, xx = 0)
A position in the data object
A data object
The number of stochastic samples of the MP recommendation(s)
Logical. Show the plot?
Years over which to calculate mean catches
Parameter controlling the TAC. Mean catches are multiplied by
(1-xx
)
An object of class Rec-class
with the TAC
slot populated with a numeric vector of length reps
The TAC is calculated as:
$$\textrm{TAC} = (1-x)C_{\textrm{ave}}$$
where x lies between 0 and 1, and \(C_{\textrm{ave}}\) is average historical
catch over the previous yrsmth
years.
The TAC is constant for all future projections.
CC1
: TAC is average historical catch from recent yrsmth
years
CC2
: TAC is average historical catch from recent yrsmth
years reduced by 10\
CC3
: TAC is average historical catch from recent yrsmth
years reduced by 20\
CC4
: TAC is average historical catch from recent yrsmth
years reduced by 30\
CC5
: TAC is average historical catch from recent yrsmth
years reduced by 40\
CurC
: TAC is fixed at last historical catch
See Online Documentation for correctly rendered equations
Geromont, H. F., and D. S. Butterworth. 2015. Generic Management Procedures for Data-Poor Fisheries: Forecasting with Few Data. ICES Journal of Marine Science: Journal Du Conseil 72 (1). 251-61.
Other Constant Catch MPs:
GB_CC()
CC1(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 797.6159
CC2(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 716.9905
CC3(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 644.0886
CC4(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 558.6875
CC5(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 474.7955
CurC(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 492.3154