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Xu Guoqiang, Zhu Wenbin, Zhang Hongliang, Zhou Yongdong, Chen Feng. Relationship between fishing grounds of Thunnus obesus and Thunnus albacores with environmental factors in the Indian Ocean based on generalized additive model[J]. Haiyang Xuebao, 2018, 40(12): 68-80. doi: 10.3969/j.issn.0253-4193.2018.12.008
Citation: Xu Guoqiang, Zhu Wenbin, Zhang Hongliang, Zhou Yongdong, Chen Feng. Relationship between fishing grounds of Thunnus obesus and Thunnus albacores with environmental factors in the Indian Ocean based on generalized additive model[J]. Haiyang Xuebao, 2018, 40(12): 68-80. doi: 10.3969/j.issn.0253-4193.2018.12.008

Relationship between fishing grounds of Thunnus obesus and Thunnus albacores with environmental factors in the Indian Ocean based on generalized additive model

doi: 10.3969/j.issn.0253-4193.2018.12.008
  • Received Date: 2018-03-05
  • Rev Recd Date: 2018-07-01
  • As one of the important offshore fisheries in China, the tuna longline fishery in the Indian Ocean is indispensable to explore the spatial and temporal changes in fisheries and their relationship with different environmental factors. Based on the Indian Ocean tuna fishery production data collected from January to June of 2016, combined with the data of environmental factors obtained by satellite remote sensing, ArcGIS and GAM models were used to analyze the temporal and spatial changes of Thunnus obesus and Thunnus albacares fishing grounds in the Indian Ocean and their relationship with different environmental factors. The results showed that:CPUE values of T. obesus and T. albacares were first decreased and then increased from January to June, reaching the highest values in April, with 2.45 ind/thousand hooks and 3.56 ind/thousand hooks respectively. There was significant difference in each month's CPUE (P <0.001); the temporal and spatial changes of T. obesus and T. albacares fishing grounds tended to be the same. They were the first to the northeast, the latter to the northwest, and finally to the northeast; GAM model analysis showed that the interpretation rate of CPUE and model factors was 32.1% for T. obesus, and latitude and 250 m water depth temperature had the most significant effect. The interpretation rate of CPUE and model factors for T. albacares was 37.2%, and the temperature at 200 m depth was the most significant; according to the collaborative analysis, from January to June, the tuna longline fishing center in the Indian Ocean distributed in 1°S~9.5°N, 47°~64°E, and the sea surface temperature was in the sea area 29.3~30.8℃.
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