Abstract:Marine fishery resources are important animal protein sources for human beings, the rational exploitation of which is of great significance. Based on the catch data of 19 global fishing areas from 1990 to 2019, this paper studied the relationship between the catch and total catch of each fishing areas, and among catches of each fishing areas by using grey correlation clustering, and the main species types that affect catches in the same fishing areas were identified. The results showed that there was a strong correlation between the catch in most fishing areas and the total catch of global seas, and there were 16 fishing areas with a grey correlation degree greater than 0.900. With the exception of the Antarctic Atlantic, Antarctic Pacific and Arctic Sea, the other fishing areas are correlated with each other by more than 0.900. The critical value r=0.975 of the associated clustering matrix was set as the classification basis, and the groups Ⅰ and Ⅱ with obvious classification were obtained. GroupⅠ includes Northwest Pacific, Northeast Atlantic, Northeast Pacific, Southeast Atlantic, Western Central Atlantic, Mediterranean and Black Sea, and the catch trends of the six fishing areas all fluctuated within a certain range; Group Ⅱ includes Western Central Pacific, Eastern Indian Ocean, Eastern Central Atlantic, and Western Indian Ocean, the catch of which showed a steady increase trend. Pelagic marine fish and demersal marine fish had the highest grey correlation with the total catch of the two groups. Our findings suggested that the grey theory system can be used to scientifically evaluate the exploitation status of marine fishery resources in various fishing areas of the world, and the evaluation results can provide reference for the sustainable development of global marine fishery.