Abstract
Rising global ocean temperatures will disrupt the livelihoods of people who depend on fishing for marine crops. Therefore, we propose fishery migration prediction models to solve the problem. We considered the effects of seawater temperature and salinity, and constructed a fish school migration prediction model based on ArcGIS. On this basis, a thermodynamic map of fish school distribution were made using ArcGIS software and kriging interpolation and nuclear density analysis. Moreover, linear interpolation and fitting are used to obtain the relationship between the annual fish movement distance and the year to predict the fish migration routes in the next 50 years.
Highlights
As a result of human activity, global warming is causing the temperature of the world's oceans to continue to rise
Global ocean temperatures have been rising significantly, so this has created a number of problems, including ecological impacts, the relocation of some traditional fisheries, increased competition among fisheries, and impacts on biological reproduction
It is necessary to study the effects of ocean temperatures on fisheries, which account for a considerable proportion in some countries and affect people's livelihoods
Summary
As a result of human activity, global warming is causing the temperature of the world's oceans to continue to rise. Global ocean temperatures have been rising significantly, so this has created a number of problems, including ecological impacts, the relocation of some traditional fisheries, increased competition among fisheries, and impacts on biological reproduction. It is necessary to study the effects of ocean temperatures on fisheries, which account for a considerable proportion in some countries and affect people's livelihoods. In order to study the influence of the above problems, we consider many factors and establish several models to discuss the benefits of the problems. We need to design a mathematical model for the fisheries management association to account for the migration of fish stocks. Our team's modeling objectives are: Predict where herring and mackerel schools will migrate in the 50 years
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