LBSPR: Length-Based SPR MPs

Description

The spawning potential ratio (SPR) is estimated using the LBSPR method and compared to a target of 0.4.

Usage

LBSPR(
  x,
  Data,
  reps = 1,
  plot = FALSE,
  SPRtarg = 0.4,
  theta1 = 0.3,
  theta2 = 0.05,
  maxchange = 0.3,
  n = 5,
  smoother = TRUE,
  R = 0.2
)
LBSPR_MLL(
  x,
  Data,
  reps = 1,
  plot = FALSE,
  SPRtarg = 0.4,
  n = 5,
  smoother = TRUE,
  R = 0.2
)

Value

An object of class Rec-class with the TAE slot populated

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?
SPRtarg: The target SPR
theta1: Control parameter for the harvest control rule
theta2: Control parameter for the harvest control rule
maxchange: Maximum change in effort
n: Last number of years to run the model on.
smoother: Logical. Should the SPR estimates be smoothed?
R: variance of sampling noise for smoother

Functions

LBSPR_MLL: Fishing retention-at-length is set equivalent to slightly higher than the maturity curve if SPR < 0.4

Required Data

See Data-class for information on the Data object

LBSPR: CAL, CAL_bins, L50, L95, LHYear, MPeff, Mort, Year, vbK, vbLinf, wlb

Rendered Equations

See Online Documentation for correctly rendered equations

Details

Effort is modified according to the harvest control rules described in Hordyk et al. (2015b):

References

Hordyk, A., Ono, K., Valencia, S., Loneragan, N., and Prince J (2015a). A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries, ICES Journal of Marine Science, 72 (1), 217-231

Hordyk, A. R., Loneragan, N. R., & Prince, J. D. (2015b). An evaluation of an iterative harvest strategy for data-poor fisheries using the length-based spawning potential ratio assessment methodology. Fisheries Research, 171, 20-32. https://doi.org/10.1016/j.fishres.2014.12.018

Examples

Run this code

LBSPR(1, Data=MSEtool::SimulatedData, plot=TRUE)
LBSPR_MLL(1, Data=MSEtool::SimulatedData, plot=FALSE)

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