This map for October shows the distribution of skipjack biomass. This population density was a forecast, generated by the regional model of changes in skipjack biomass.

This is a regional version of the SEAPODYM model (Bertignac et al 1988; Lehodey et al 2008; 2010; Senina et al 2008). It simulates changes in this fish population according to pressure on stocks caused by fishing (catches), ocean variability and climate variability. This model can also analyze the impact of fishery management or tuna conservation plans (spatio-temporal definition of marine protected areas, etc.). These models have been custom developed for our Indonesian archipelago. This was an ambitious request because the unique nature of our archipelago presents many difficulties. For instance, Indonesia is the only place in the world where the Pacific and Indian Oceans meet at the equator. In addition, the geography of the Indonesian coast coupled with our distinct monsoon seasons create complex wind circulation patterns.

INDESO has provided our marine resources experts with an arsenal of sophisticated algorithms that is used to develop:

  • appropriate seasonal or annual regulations;
  • urgent conservation measures;
  • long-term tuna fishery management plans.