Step-wise Constant Effort
LstepCE1.Rd
A management procedure that incrementally adjusts the total allowable effort (TAE) according to the mean length of recent catches.
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 trend in mean length.
- stepsz
Parameter controlling the size of update increment in effort.
- llim
A vector of length reference points that determine the conditions for increasing, maintaining or reducing the effort.
Value
An object of class Rec-class
with the TAE slot(s) populated
Details
The TAE is calculated as:
$$\textrm{TAE} =
\left\{\begin{array}{ll}
\textrm{TAE}^* - 2 S\textrm{TAE}^* & \textrm{if } r < 0.96 \\
\textrm{TAE}^* - S \textrm{TAE}^* & \textrm{if } r < 0.98 \\
\textrm{TAE}^* & \textrm{if } > 1.058 \\
\end{array}\right.
$$
where \(\textrm{TAE}^*\) is effort in the previous year, \(S\) is
step-size determined by stepsz
,
and \(r\) is the ratio of \(L_\textrm{recent}\) and \(L_\textrm{ave}\)
which are mean length over the most recent yrsmth
years and 2 x yrsmth
historical
years respectively.
The conditions are specified in the llim
argument to the function.
Functions
LstepCE1
: The least biologically precautionary effort-based MP.LstepCE2
: Step size is increased to 0.1
Rendered Equations
See Online Documentation for correctly rendered equations
References
Carruthers et al. 2015. Performance evaluation of simple management procedures. ICES J. Mar Sci. 73, 464-482.
Geromont, H.F., Butterworth, D.S. 2014. Generic management procedures for data-poor fisheries; forecasting with few data. ICES J. Mar. Sci. doi:10.1093/icesjms/fst232
Examples
LstepCE1(1, Data=MSEtool::SimulatedData, plot=TRUE)
#> Effort
#> 1
LstepCE2(1, Data=MSEtool::SimulatedData, plot=TRUE)
#> Effort
#> 1