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)

## Arguments

x 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)

## 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

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()

T. Carruthers

## 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