Abstract: A method for predicting fishing access of Katsuwonuspelamis purse seine fishery in the Central and Western Pacific adopts the statistical data per year before the forecast year to the previous 16 years, including year, month, longitude, latitude, fishing effort (the number of nets) and the catch (ton) in an important operation waters of 5°S-5°N, 125°E-180°E, a sea surface temperature anomaly (SSTA) in the Nino3.4 area and the sea surface temperature (SST) in the operation waters. A sea area is denoted by 5°×5° spatial resolution, the production statistical data of the sea areas are matched with the corresponding environmental data one by one to obtain the relationship between different SSTA and SST ranges of each sea area and the corresponding initial value fishing effort, a fishing access prediction model of each sea area is established by using a normal distribution model.