YPR {DLMtool} | R Documentation |
A simple yield per recruit approximation to FMSY (F01) which is the position of the ascending YPR curve for which dYPR/dF = 0.1(dYPR/d0)
YPR(x, Data, reps = 100, plot = FALSE) YPR_CC(x, Data, reps = 100, plot = FALSE, Fmin = 0.005) YPR_ML(x, Data, reps = 100, plot = FALSE)
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? |
Fmin |
The minimum fishing mortality rate inferred from the catch-curve analysis |
The TAC is calculated as:
\textrm{TAC} = F_{0.1} A
where F_{0.1} is the fishing mortality (F) where the slope of the yield-per-recruit (YPR) curve is 10\
The YPR curve is calculated using an equilibrium age-structured model with life-history and
selectivity parameters sampled from the Data
object.
The variants of the YPR MP differ in the method to estimate current abundance (see Functions section below). #'
An object of class Rec-class
with the TAC
slot populated with a numeric vector of length reps
YPR
: Requires an external estimate of abundance.
YPR_CC
: A catch-curve analysis is used to determine recent Z which given M (Mort)
gives F and thus abundance = Ct/(1-exp(-F))
YPR_ML
: A mean-length estimate of recent Z is used to infer current
abundance.
See Data-class
for information on the Data
object
YPR
: Abun, LFS, MaxAge, vbK, vbLinf, vbt0
YPR_CC
: CAA, Cat, LFS, MaxAge, vbK, vbLinf, vbt0
YPR_ML
: CAL, Cat, LFS, Lbar, Lc, MaxAge, Mort, vbK, vbLinf, vbt0
See Online Documentation for correctly rendered equations
Based on the code of Meaghan Bryan
Meaghan Bryan and Tom Carruthers
Beverton and Holt. 1954.
YPR(1, MSEtool::SimulatedData, plot=TRUE) YPR_CC(1, MSEtool::SimulatedData, plot=TRUE) YPR_ML(1, MSEtool::SimulatedData, plot=TRUE)