Global database and toolbox for tuna fisheries

• 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

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;

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.

A set of diagrams to illustrate the methodological approach:

• Extract - Transform - Load data process
• Sardara database
• The common toolbox

• Cumulated global tuna catches by gear over the period 1919-2014
• Annual changes in the composition (in percentage) of global purse seine fisheries catch by school association type
• Map of global catches by gear for YFT from 2000 to 2014

• 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);