Description Usage Arguments Details Value Required Data Rendered Equations Author(s) References See Also Examples

A simple MP that aims for a reference catch (as a proxy for MSY) subject to imperfect information.

1 |

`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? |

Note that this is my interpretation of their MP and is now stochastic. Currently it is generalized and is not 'tuned' to more detailed assessment data which might explain why in some cases it leads to stock declines.

The TAC is calculated as:

*\textrm{TAC} = C_\textrm{ref}*

where *C_\textrm{ref}* is a reference catch assumed to be a proxy for MSY.
In the MSE *C_\textrm{ref}* is the calculated MSY subject to observation error
defined in `Obs@CV_Cref`

.

The TAC is subject to the following conditions:

if next TAC > 1.2 last catch, then TAC = 1.2 last catch

if next TAC < 0.8 last catch, then TAC = 0.8 last catch

An object of class `Rec`

with the `TAC`

slot populated with a numeric vector of length `reps`

See Data for information on the `Data`

object

`GB_CC`

: Cref

See Online Documentation for correctly rendered equations

T. Carruthers

Geromont, H.F. and Butterworth, D.S. 2014. Complex assessment or simple management procedures for efficient fisheries management: a comparative study. ICES J. Mar. Sci. doi:10.1093/icesjms/fsu017

Other Constant Catch MPs:
`CC1()`

1 | ```
GB_CC(1, DLMtool::SimulatedData, plot=TRUE)
``` |

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