
Geromont and Butterworth (2015) Constant Catch
CC1.RdThe TAC is the average historical catch over the last yrsmth (default 5) years,
multiplied by (1-xx)
Usage
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)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?
- yrsmth
Years over which to calculate mean catches
- xx
Parameter controlling the TAC. Mean catches are multiplied by (1-
xx)
Value
An object of class Rec-class with the TAC slot populated with a numeric vector of length reps
Details
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.
Functions
CC1: TAC is average historical catch from recentyrsmthyearsCC2: TAC is average historical catch from recentyrsmthyears reduced by 10\CC3: TAC is average historical catch from recentyrsmthyears reduced by 20\CC4: TAC is average historical catch from recentyrsmthyears reduced by 30\CC5: TAC is average historical catch from recentyrsmthyears reduced by 40\CurC: TAC is fixed at last historical catch
Rendered Equations
See Online Documentation for correctly rendered equations
References
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.
See also
Other Constant Catch MPs:
GB_CC()
Examples
CC1(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 797.0115
CC2(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 729.2348
CC3(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 641.7771
CC4(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 567.924
CC5(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 485.2225
CurC(1, MSEtool::Cobia, plot=TRUE)
#> TAC (median)
#> 499.6737