Slope in surplus production MP
SPslope.Rd
A management procedure that makes incremental adjustments to TAC recommendations based on the apparent trend in recent surplus production. Based on the theory of Mark Maunder (IATTC)
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 smooth recent estimates of surplus production
- alp
Condition for modifying the Data (bounds on change in abundance)
- bet
Limits for how much the Data can change among years
Value
An object of class Rec-class
with the TAC
slot populated with a numeric vector of length reps
Details
Note that this isn't exactly what Mark has previously suggested and is stochastic in this implementation.
The TAC is calculated as:
$$\textrm{TAC}_y =
\left\{\begin{array}{ll}
M \bar{C} & \textrm{if } r < \alpha_1 \\
\bar{C} & \textrm{if } \alpha_1 < r < \alpha_2 \\
\textrm{bet}_2 \textrm{SP} & \textrm{if } r > \alpha_2 \\
\end{array}\right.
$$
where \(r\) is the ratio of predicted biomass in next year to biomass in
current year \(\bar{C}\) is the mean catch over the last yrmsth
years, \(\alpha_1\)
and \(\alpha_2\) are specified in alp
, \(\textrm{bet}_1\) and \(\textrm{bet}_2\)
are specified in bet
, \(\textrm{SP}\) is estimated surplus production in most recent year,
and:
$$M = 1-\textrm{bet}_1 \frac{B_y - \tilde{B}_y}{B_y}$$
where \(B_y\) is the most recent estimate of biomass and \(\tilde{B}\)
is the predicted biomass in the next year.
Rendered Equations
See Online Documentation for correctly rendered equations
References
http://www.iattc.org/Meetings/Meetings2014/MAYSAC/PDFs/SAC-05-10b-Management-Strategy-Evaluation.pdf
Examples
SPslope(1, Data=MSEtool::Atlantic_mackerel, plot=TRUE)
#> TAC (median)
#> 13.84792