SPslope {DLMtool} | R Documentation |
Slope in surplus production MP
Description
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)
Usage
SPslope(
x,
Data,
reps = 100,
plot = FALSE,
yrsmth = 4,
alp = c(0.9, 1.1),
bet = c(1.5, 0.9)
)
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 |
Details
Note that this isn't exactly what Mark has previously suggested and is stochastic in this implementation.
The TAC is calculated as:
where is the ratio of predicted biomass in next year to biomass in
current year
is the mean catch over the last
yrmsth
years,
and
are specified in
alp
, and
are specified in
bet
, is estimated surplus production in most recent year,
and:
where is the most recent estimate of biomass and
is the predicted biomass in the next year.
Value
An object of class Rec-class
with the TAC
slot populated with a numeric vector of length reps
Required Data
See Data-class
for information on the Data
object
SPslope
: Abun, Cat, Ind, Year
Rendered Equations
See Online Documentation for correctly rendered equations
Author(s)
T. Carruthers
References
http://www.iattc.org/Meetings/Meetings2014/MAYSAC/PDFs/SAC-05-10b-Management-Strategy-Evaluation.pdf
See Also
Other Surplus production MPs:
Fadapt()
,
Rcontrol()
,
SPMSY()
,
SPSRA()
,
SPmod()
Examples
SPslope(1, Data=MSEtool::Atlantic_mackerel, plot=TRUE)