Implementation and verification of intelligent fishing ground forecasting of Illex argentinus in the Southwest Atlantic

Abstract:

Improvement of fishing ground forecasting is an important content in the field of fisheries oceanography. The geographic information system and other high technologies are applied to the fishing ground more and more. In this paper, based on the fishery data from Chinese squid jigging fleets and environmental data, the habitat suitability index (HSI) is used to establish intelligent fishery forecasting of Illex argentinus in the Southwest Atlantic, and the software system of fishery forecasting is developed by itself. Meanwhile, the paper uses realtime surface temperature, chlorophylla, sea surface height anomaly and other environmental factors to forecast the fishing ground and verify production data in 2009 by the forecasting model. The results indicated that the actual fishing grounds are basically located in the HSI area of more than 0.5, the prediction accuracy rates of fishing ground from January to April reached from 57% to 74%, and the average accuracy rate attained 68.29%. The results suggest that the HSI model can be used to accurately predict the fishing ground of Illex argentinus in the southwest Atlantic Ocean, and the high technologies such as geographic information system can realize intelligently forecasting the fishing ground.