The tuna model is a mathematical model used to simulate and predict the dynamics of tuna populations. By combining the knowledge of biology, ecology and fisheries management, the model can provide an important theoretical basis and practical guidance for sustainable fisheries. The core idea of this model is to view tuna stocks as a dynamic system, which is influenced by environmental factors, fishing pressure and biological characteristics.

In the tuna model, population growth usually follows a logical growth pattern, limited by the carrying capacity of the environment. The reproductive rate, mortality rate and migration rate of tuna are the key variables affecting population changes. With these parameters, mathematical equations can be built to describe how populations change over different time periods. The model also takes into account the effects of fishing activities on population structure and is therefore not only an ecological model but also a fisheries management tool.

Tuna models are also often integrated into other components of the ecosystem, such as the relationship between predators and prey. This multi-level approach to modelling enables a more comprehensive capture of complex interactions within ecosystems, enabling managers to consider the health of the ecosystem as a whole when formulating fisheries policies.

In practice, tuna models are widely used to help fisheries managers set reasonable quotas and ensure that tuna stocks are not threatened by overfishing. In addition, the model can also be used to predict the possible trend of population change in the future and provide the basis for decision-making. This is essential for the conservation of tuna stocks, the maintenance of ecological balance and the achievement of sustainable development goals.