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This repository mainly contains generic scripts to apply ensemble approach using delta-MVLN to SS3 stock assessment models.

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SS3 ENSEMBLE MODEL scripts

This repo contains all the script that has been developed during the work done for the Ph.D. thesis of Francesco Masnadi to support the methods described in Chapter 4:"Stock assessment of common sole in GSA17: an ensemble approach using data-rich model"

PhD Project in "Evaluation and management of demersal stocks in the Adriatic: the case of common sole (Solea solea, L.) in the northern and central Adriatic Sea" conceived under the International Ph.D. Program “Innovative Technologies and Sustainable Use of Mediterranean Sea Fishery and Biological Resources” (www.FishMed-PhD.org)

  • Supervisor: Giuseppe Scarcella (CNR-IRBIM)

  • Co-supervisors: Stefano Goffredo (UNIBO); Massimiliano Cardinale (SLU)

File description:

  1. Ensemble_grid.R : Run all scenarios at once and plot results, do diagnostic, do Ensemble on final weighted grid

  2. Ensemble _Forecast_grid_run_v2.R : run all forecast scenarios models at once and plot results

  3. ss3om_fromSS3toFLR.R : convert multiple SS3 models to flr (FLRStock)

  4. MSE_ensemble_loop.R : R script to build BioRefPoint short-mse for ensemble model (based on ICES WKREF1&2 scripts)

  5. app.R : R script to build Shiny APP showing ensemble model procedure and output for Sole in GSA17 (https://framasnadi.shinyapps.io/AppSOL)

  • Authors:
    Francesco Masnadi (CNR-IRBIM & UNIBO, Ancona)
    Massimiliano Cardinale (SLU Aqua, Lysekil)
    mainly based on functions developed by Hennig Winker (JRC-EC), Felipe Carvalho (NOAA) and Iago Mosqueira (WUR-IMARES)

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This repository mainly contains generic scripts to apply ensemble approach using delta-MVLN to SS3 stock assessment models.

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