Global database and toolbox for tuna fisheries

ICCAT SC-STATS , Madrid, September 2016

Paul Taconet
Institut de Recherche pour le Développement, France

Plan

  • 1) Global achievements of the project
  • 2) Overall objectives and expected benefits for research and fisheries management
  • 3) General methodological approach
  • 4) Some examples of global indicators
  • 5) ICCAT collaboration: why and in what areas

Global achievements of the project

data_quality

Expected benefits for research and fisheries management (1)

Findings

  • Divergences in data format and nomenclatures (1 per tRFMOs) => not easy to get information in fisheries at global scale + difficulties to exchange and to disseminate data + not favor collaboration and coordination between tRFMOs;

  • Coordination and collaboration between TRFMOs are essential for improving tuna science as they share common scientific and methodological issues;

  • Enhanced data exchange and dissemination result in benefits for the scientific community -> policy makers (and general public) -> conservation of healty stocks;

Expected benefits for research and fisheries management (2)

Overall objectives of the project:

  • i) Propose coding systems and standard nomenclatures to facilitate the merging of the data for analysis;
  • ii) Give more visibility to the data and more transparency to the processing steps driving to the datasets used as inputs for assessment models;
  • iii) Provide tools to facilitate data extraction and visualization to anyone interested in tuna fisheries.

General methodological approach

Some examples of indicators

The common toolbox: a portable toolbox

data_quality

ICCAT collaboration: why and in what areas

  • Definition of a stable format and distribution mode (e.g. query on ICCAT DB or acces to ICCAT DB through remote services) to access ICCAT datasets;
  • Assistance for the mappings of ICCAT code lists with FAO/standard code lists (especially gears);

Thank you