West Central Pacific Ocean Bigeye Tuna (WCPO BET) Assessment Parameters

A list of estimated parameter values for the WCPO bigeye tuna stock assessment model. Contains growth parameters, recruitment deviations, selectivity curves, and other model parameters fitted using RTMB.

Usage

wcpo_bet_parameters

Format

A list with 14 named elements containing estimated parameters from model optimization.

Details

Parameter structure (14 list elements)

Stock parameters:

log_B0: Initial spawning biomass (log-scale): 12
log_h: Steepness parameter (log-scale): -0.0513
log_sigma_r: Recruitment standard deviation (log-scale): -0.511

Observation model parameters:

log_cpue_q: CPUE catchability coefficient (log-scale): 0
cpue_creep: CPUE creep adjustment: 0
log_cpue_tau: CPUE log-standard deviation (log-scale): -Inf
log_cpue_omega: CPUE process error (log-scale): 0

Recruitment deviations:

rdev_y: Recruitment deviations by year (268 elements, quarterly timesteps)

Selectivity parameters:

par_sel: Selectivity parameters matrix (15 fisheries × 6 columns). Rows represent different fisheries/fleets, columns represent selectivity curve parameters (e.g., inflection point, slope for logistic curves or parameters for double-normal curves).

Growth parameters:

log_L1: Log of length at age 1 (von Bertalanffy): 3.431379
log_L2: Log of asymptotic length (von Bertalanffy): 5.03333
log_k: Log of growth rate parameter (von Bertalanffy): -2.32024
log_CV1: Log of CV at young ages: -1.826289
log_CV2: Log of CV at old ages: -2.230151

Examples

if (FALSE) { # \dontrun{
  data(wcpo_bet_parameters)
  str(wcpo_bet_parameters)
  # Access growth parameters
  exp(wcpo_bet_parameters$log_L1)  # L1 on real scale
  exp(wcpo_bet_parameters$log_L2)  # Linf on real scale
  exp(wcpo_bet_parameters$log_k)   # k on real scale
} # }