An adaptive MP that uses trajectory in inferred suplus production and fishing mortality rate to update a TAC
Fadapt(x, Data, reps = 100, plot = FALSE, yrsmth = 7, gg = 1)
A position in a data-limited methods data object
A data-limited methods 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
A gain parameter controlling the speed in update in TAC.
An object of class Rec
with the TAC
slot populated with a numeric vector of length reps
A numeric vector of quota recommendations
See '>Data for information on the Data
object
Fadapt
: Abun, Cat, FMSY_M, Ind, Mort, Year
See Online Documentation for correctly rendered equations
Fishing rate is modified each year according to the gradient of surplus production with biomass (aims for zero). F is bounded by FMSY/2 and 2FMSY and walks in the logit space according to dSP/dB. This is derived from the theory of Maunder 2014.
The TAC is calculated as:
yrsmth
years from the index of abundance (Data@Ind
)
and estimate of current abundance (Data@Abun
), and
where gg
, G
is the predicted surplus production given current abundance,
and:
yrsmth
,
and yrsmth
.
Tested in Carruthers et al. 2015.
Carruthers et al. 2015. Performance evaluation of simple management procedures. ICES J. Mar Sci. 73, 464-482.
Maunder, M. 2014. http://www.iattc.org/Meetings/Meetings2014/MAYSAC/PDFs/SAC-05-10b-Management-Strategy-Evaluation.pdf
Other Fmsy/M methods: DynF
,
Fratio
Other Surplus production MPs: Rcontrol
,
SPMSY
, SPSRA
,
SPmod
, SPslope
# NOT RUN {
Fadapt(1, Data=DLMtool::Atlantic_mackerel, plot=TRUE)
# }
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