Download ALB 2024 assessment report:
- Stock Assessment of South Pacific Albacore: 2024
WCPFC-SC20-2024/SA-WP-02
Download ALB 2024 diagnostic model:
- Clone the alb-2024-diagnostic repository or download as main.zip file
Download ALB 2024 ensemble results:
- Clone the alb-2024-ensemble repository or download as main.zip file
The ALB 2024 assessment uncertainty was estimated using a Monte Carlo model ensemble approach in which 100 models incorporated uncertainty in average natural mortality, stock-recruitment steepness and estimation error for individual models:
This repository contains all files necessary to run or browse the ALB 2024 ensemble.
The ensemble models are run from a par file, as described in the corresponding doitall.sh script.
The final par and rep files are consistently named 09.par and plot-09.par.rep to facilitate harvesting results from across the 100 ensemble models.
See also Section 8, Section 10.6 and Table 9 in the ALB 2024 stock assessment report.
The estimate_uncertainty.R script requires two R packages that are available on GitHub:
install_github("flr/FLCore")
install_github("PacificCommunity/FLR4MFCL")