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Geromont and Butterworth (2015) Constant Catch

CC1.Rd

The 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 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

Required Data

See Data-class for information on the Data object

CC1: Cat, LHYear, Year

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()

Author

T. Carruthers

Examples

CC1(1, MSEtool::Cobia, plot=TRUE)

#> TAC (median) 
#>     801.4697 

CC2(1, MSEtool::Cobia, plot=TRUE)

#> TAC (median) 
#>     728.6202 

CC3(1, MSEtool::Cobia, plot=TRUE)

#> TAC (median) 
#>     643.6182 

CC4(1, MSEtool::Cobia, plot=TRUE)

#> TAC (median) 
#>      567.924 

CC5(1, MSEtool::Cobia, plot=TRUE)

#> TAC (median) 
#>     483.8586 

CurC(1, MSEtool::Cobia, plot=TRUE)

#> TAC (median) 
#>     502.9635