Indian Ocean Skipjack Documentation

 

The Indian Ocean Tuna Commission's (IOTC) Working Party on Methods' (WPM) simulation model of the Indian Ocean skipjack (SKJ) tuna fishery for the evaluation of management procedures (MP).

Skipjack tuna (Katsuwonus pelamis)

Documentation

The following document the model structure and code,

• doxygen : C++ code documentation generated by Doxygen

Reports

Several reports associated with this project are available (in reverse chronological order):

• Bentley, N and M.S. Adam (2015). An operating model for the Indian Ocean skipjack tuna fishery. IOTC-2015-WPTT17-35. Paper submitted to the 17th Meeting of the Working Party on Tropical Tunas, Montpellier, France, 23-28 October 2015
• Bentley, N and M.S. Adam (2015). An operating model for the Indian Ocean skipjack tuna fishery. IOTC-2015-WPM06-09. Paper submitted to the 6th Meeting of the Working Party on Methods, Montpellier, France, 19-21 October 2015
• Bentley, N and M.S. Adam (2014). Management procedure evaluation for Indian Ocean skipjack tuna fishery: model description and conditioning. IOTC-2014-WPM05-08. Paper submitted to the 5th Meeting of the Working Party on Methods, Seychelles, 05-06 December 2014
• Bentley, N and M.S. Adam (2014). Management strategy evaluation for Indian Ocean skipjack tuna fishery: first steps. IOTC-2014-WPTT16-39. Paper submitted to the 16th Meeting of the Working Party on Tropical Tuna, Bali, Indonesia, 15-19 November 2014
• ISSF (2014). ISSF Report of the 2014 Meeting of the Indian Ocean Skipjack MSE Advisory Committee Meeting. 14-16 October 2014, Media One Hotel, Dubai, United Arab Emirates. 13 pp.
• Adam, M. S., R. Sharma and N. Bentley (2013). Progress and arrangements for management strategy evaluation work of Indian Ocean skipjack tuna. IOTC-2013-WPTT15-12, Paper submitted to Working Party on Tropical Tuna, San Sebastian, Spain.

Support

This work has been funded by the International Pole and Line Foundation (IPNLF), the Maldives Seafood Processors and Exporters Association (MSPEA), the Areas Beyond National Jurisdiction (ABNJ aka Common Oceans) Program and WWF with support and oversignt of the Maldives Marine Research Centre (MRC). Support for the project's Advisory Committee has been provided by the International Seafood Sustainability Foundation (ISSF).

Status

The model is still under active development. As the model matures we hope to make it available as precompiled executables for Windows and Linux and/or a package for R.

Automated builds are done on Travis CI when changes are pushed to this repository.

Usage

To run the executable, ioskj.exe, supply a task name and, for certain tasks, additional arguments,

./ioskj.exe <task> [<arg1>],[<arg2>]...

Tasks include,

• run
• priors
• feasible <trials>
• evaluate <replicates>

For example, to evaluate the defined set of management procedures using 1000 replicates run,

./ioskj.exe evaluate 1000

Building

The project Makefile includes a task (make requires) which will download and compile required C++ libraries. Use make compile to compile a production version of the executable.

On most Linux systems you should have the required build tools installed already and can just run:

make requires compile

On Windows, the recommended approach is to build using MSYS2 and MinGW64:

1. Download and install MYSYS2 following the instructions at https://msys2.github.io/

2. Open the MYSY2 shell and install build tools:

   ```shell pacman -S make mingw-w64-x86_64-toolchain zip ```

3. Open the MinGW64 shell and run:

   ```shell make requires compile ```

To build a debug version of the executable for use with GDB run,

make debug

To update all documentation run,

make docs

To publish documentation to http://iotcwpm.github.io/SKJ run,

make publish

Organisation

The C++ code is divided into several files:

• imports.hpp - #includes to import classes and functions from external libraries
• dimensions.hpp - defines the dimensions used in various model arrays e.g. Region, Age, Method
• model.hpp - contains the Model class which specifies the structure and dynamics of the fishery
• parameters.hpp - contains the Parameters class which defines the parameters and their priors used for model conditioning
• data.hpp - contains the Data class which defines the data sets and their likelihoods used for model conditioning
• ioskj.cpp - the primary C++ file for compiling the executable
• tests.cpp - unit tests of the C++ code

Some of these files have corresponding folders,

• parameters : R scripts for background analyses for developing model prior probability distributions.
• data : R and Python scripts for processing source data. See the documentation in those files for more details.

In addition there is a folder related to documentation,

• doxygen : a Doxygen project for automatically generating documentation from C++ source code.