Description Usage Arguments Details Value Functions Required Data Rendered Equations Author(s) References See Also Examples
A management procedure that incrementally adjusts the total allowable effort (TAE) according to the mean length of recent catches.
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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. |
The TAE is calculated as:
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.
An object of class Rec
with the TAE slot(s) populated
LstepCE1
: The least biologically precautionary effort-based MP.
LstepCE2
: Step size is increased to 0.1
See Data for information on the Data
object
LstepCE1
: LHYear, ML, MPeff, Year
See Online Documentation for correctly rendered equations
T. Carruthers
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
LstepCC1
1 2 | LstepCE1(1, Data=DLMtool::SimulatedData, plot=TRUE)
LstepCE2(1, Data=DLMtool::SimulatedData, plot=TRUE)
|
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