A example mixed control MP that uses the Itarget1 output control MP together with a spatial closure.
Itarget1_MPA(
x,
Data,
reps = 100,
plot = FALSE,
yrsmth = 5,
xx = 0,
Imulti = 1.5
)
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 smooth recent estimates of surplus production
Parameter controlling the fraction of mean catch to start using in first year
Parameter controlling how much larger target CPUE / index is compared with recent levels.
An object of class Rec
with the TAC, Spatial slot(s) populated
See Online Documentation for correctly rendered equations
The TAC is calculated as: If \(I_\textrm{recent} \geq I_0\): $$\textrm{TAC}= 0.5 \textrm{TAC}^* \left[1+\left(\frac{I_\textrm{recent} - I_0}{I_\textrm{target} - I_0}\right)\right]$$
else: $$\textrm{TAC}= 0.5 \textrm{TAC}^* \left[\frac{I_\textrm{recent}}{I_0}^2\right]$$
where \(I_0\) is \(0.8 I_{\textrm{ave}}\) (the average index over the 2 x yrsmth
years prior to the projection period),
\(I_\textrm{recent}\) is the average index over the past yrsmth
years, and
\(I_\textrm{target}\) is Imulti
times \(I_{\textrm{ave}}\),
and \(\textrm{TAC}^*\) is:
$$(1-x)C$$
where \(x\) is argument xx
and C is the average catch over the last 5 years of the historical period.
This mixed control MP also closes Area 1 to fishing.
This MP has been included for demonstration purposes of a mixed control MP.
Other Index methods:
GB_slope()
,
GB_target()
,
Gcontrol()
,
ICI()
,
Iratio()
,
Islope1()
,
Itarget1()
,
ItargetE1()
# NOT RUN {
Itarget1_MPA(1, DLMtool::Atlantic_mackerel, plot=TRUE)
# }
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