LtargetE1 {DLMtool} | R Documentation |
Length Target TAE MP
Description
A management procedure that incrementally adjusts the TAE to reach a target mean length in catches.
Usage
LtargetE1(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xL = 1.05)
LtargetE4(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xL = 1.15)
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 length |
xL |
Parameter controlling the magnitude of the target mean length of catches relative to average length in catches. |
Details
Four target length MPs proposed by Geromont and Butterworth 2014. Tested by Carruthers et al. 2015.
The TAE is calculated as:
If L_\textrm{recent} \geq L_0
:
\textrm{TAE} = 0.5 \textrm{TAE}^* \left[1+\left(\frac{L_\textrm{recent}-L_0}{L_\textrm{target}-L_0}\right)\right]
else:
\textrm{TAE} = 0.5 \textrm{TAE}^* \left[\frac{L_\textrm{recent}}{L_0}^2\right]
where \textrm{TAE}^*
is the effort in the previous year,
L_\textrm{recent}
is mean length in last yrmsth
years, L_0
is (except for L95target
) 0.9 average catch in the last
2 x yrsmth
historical (pre-projection years) (L_\textrm{ave}
), and L_\textrm{target}
is
(except for L95target
) xL
L_\textrm{ave}
.
Value
An object of class Rec-class
with the TAE slot(s) populated
Functions
-
LtargetE1
: The least biologically precautionary TAE-based MP. -
LtargetE4
: ThexL
argument is increased to 1.15.
Required Data
See Data-class
for information on the Data
object
LtargetE1
: LHYear, ML, MPeff, Year
Rendered Equations
See Online Documentation for correctly rendered equations
Author(s)
T. Carruthers
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
See Also
Other Length target MPs:
Lratio_BHI()
,
Ltarget1()
Examples
LtargetE1(1, Data=MSEtool::SimulatedData, plot=TRUE)
LtargetE4(1, Data=MSEtool::SimulatedData, plot=TRUE)