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Quantitative Fisheries Science using FLR and a4a

25-29 AUGUST 2014 @JRC, Italy

OBJECTIVES

  • Introduce the tools available in FLR for Quantitative Fisheries Science
  • Present the a4a stock assessment model
  • Explore computational issues and possibilities in fisheries management advice
  • Discover Management Strategy Evaluation through FLR

REQUIREMENTS

  • Good working knowledge of the R language
    • Running an R session
    • Using classes and objects in R
    • Using and analyzing R functions
    • Debuging and understanding R code
  • Basic statistics
    • Descriptive statistics
    • Modelling and optimization
  • Basic knowledge of fisheries science
    • Essential ideas of population biology
    • Familiarity with stock assessment

ORGANIZATION

Dates

  • Starting at 14.00 on Monday 25 August 2014.
  • Finishing at 12.30 on Friday 29 August 2014.

Location

  • EC JRC, Ispra, Italy.

Registration

Getting there

  • Nearest airports are Milano Malpensa (MXP) and Milano Linate (LIN).
  • Transport between airport and Ispra will be organized and provided free of charge by JRC.

Accommodation

  • There's a block reservation in Hotel Europa.
  • The participants that want to stay in Hotel Europa should mark it on the registration.
  • JRC will book the rooms but the participants will have to pay, ~65 euros per night.

Costs

No fee required. Each participant will have to fund their own expenses.

AGENDA

Daily timetable

  • AM: 09.00 - 12.30, TUE-FRI
  • PM: 14.00 - 17.30, MON-THU

Day 1

SESSION 1: Introduction to FLR

  • Welcome, setting up R & FLR
  • Introduction to FLR: classes and methods
  • Loading and manipulating data
  • Documentation, manuals and help

Day 2

SESSION 2: EDA, plotting and modelling

  • Plotting and EDA facilities in FLR
  • Stock-recruitment relationships and non-linear modelling
  • Simple stock assessment using biodyn

SESSION 3: Introduction to a4a

  • The a4a initiative
  • a4a growth methods
  • Converting length to ages
  • a4a M methods

Day 3

SESSION 4: Stock assessment using a4a

  • Stock assessment with a4a
  • A quick and dirty stock assessment
  • Data structures

SESSION 5: Statistical catch-at-age prediction and simulation

  • The sca method: statistical catch-at-age
  • Advanced features of a4aSCA
  • Predict and simulate
  • More models for fishing mortality

Day 4

SESSION 6: Short and medium term forecasting for advice

  • Short and medium term forecasting in fisheries management
  • Forecasting with FLash

SESSION 7: Reference points and simulation

  • Simulation tools in FLR
  • Biological and economic reference points with FLBRP
  • Management advice: combining Flash and FLBRP

Day 5

SESSION 8: Management Strategy Evaluation

  • Building Operating Models with a4a
  • Evaluating Management Procedures
  • Final wrap up

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