Because of changing fishing grounds for Japanese common squid, this study analyzed marine environmentdata retrieved from remote sensing information technology, production data of fishing catches in Japan Seafrom November to December in 20102013 were analyzed to determine resource abundance, change of time andspace of fishing ground centroids, and the relationships with influential environmental factors. The analyzed fisherieswere located in the central and southern sea waters in the Sea of Japan. Using a production-centered method,statistical interpolation, and mathematical statistics, a Generalized additive models (GAM) model was establishedbased on Catch per Unit Effort (CPUE) as the dependent variable and main environmental factors as the explanatoryvariables. Previous studies showed that the fishery centroids slightly differ every year, concentrated around132°′N. The model also showed that optimal sea surface temperature ofJapanese common squid fishing grounds was 16–, and optimal chlorophyll a concentration was 0.37.Regression analysis between CPUE and marine environmental data indicated that sea surface temperature and thespatial distribution factor on the CPUE were highly significant; in addition, chlorophyll a concentration was notsignificant. Sea surface temperature was relatively high in 20102013. Chlorophyll aconcentrations were lower in 2010 than in other years. Current partition was more apparent from 2010–2011; inthe north, the Tsushima warm current and east North Korea warm current were strong from 2010–2013, when the Riman cold current was stronger in the south. The scope ofenvironmental differed over 4 years, which included Tsushima warm current; when the east North Korea warmcurrent and Riman cold current flowed across each other, favorable conditions were provided for fishery formation.Different factors affected monsoon intensity and global climate in different years. Each year, the ocean fisheryenvironmental factors were slightly different, and the influence on fishery resources was difficult to estimate.