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Spatial-temporal distribution of bigeye tuna Thunnus obesus in the tropical Atlantic Ocean based on Argo data.

YANG Sheng-long1,2, JIN Shao-fei3, HUA Cheng-jun1, DAI Yang1   

  1. (1Ministry of Agriculture  Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization,  Shanghai 200090, China; 2Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resource, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China; 3Key Laboratory of Regional ClimateEnvironment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)
  • Online:2015-02-18 Published:2015-02-18

Abstract: In order to analyze the correlation between spatial-temporal distribution of the bigeye tuna (Thunnus obesus) and subsurface factors, the study explored the isothermal distribution of subsurface temperatures in the bigeye tuna fishing grounds in the tropical Atlantic Ocean, and built up the spatial overlay chart of the isothermal lines of 9, 12, 13 and 15 ℃ and monthly CPUE (catch per unit effort) from bigeye tuna longlines. The results showed that the bigeye tuna mainly distributed in the water layer (150-450 m) below the lower boundary depth of thermocline. At the isothermal line of 12 ℃, the bigeye tuna mainly lived in the water layer of 190-260 m, while few individuals were found at water depth more than 400 m. As to the 13 ℃ isothermal line, high CPUE often appeared at water depth less than 250 m, mainly between 150-230 m, while no CPUE appeared at water depth more than 300 m. The optimum range of subsurface factors calculated by frequency analysis and empirical cumulative distribution function (ECDF) exhibited that the optimum depth range of 12 ℃ isothermal depth was 190-260 m and the 13 ℃ isothermal depth was 160-240 m, while the optimum depth difference range of 12 ℃ isothermal depth was -10 to 100 m and the 13 ℃ isothermal depth was -40 to 60 m. The study explored the optimum range of subsurface factors (water temperature and depth) that drive horizontal and vertical distribution of bigeye tuna. The preliminary result would help to discover the central fishing ground, instruct fishing depth, and provide theoretical and practical references for the longline production and resource management of bigeye tuna in the Atlantic Ocean.