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Chen Yangyang, Chen Xinjun, Guo Lixin, Wang Ran, Xiao Weiping, Xu Liangqi. Preliminary analysis of predict model of fishing effort spatial distribution for skipjack tuna catches by purse seine in the west-central Pacific Ocean[J]. Haiyang Xuebao, 2017, 39(10): 32-45. doi: 10.3969/j.issn.0253-4193.2017.10.003
Citation: Chen Yangyang, Chen Xinjun, Guo Lixin, Wang Ran, Xiao Weiping, Xu Liangqi. Preliminary analysis of predict model of fishing effort spatial distribution for skipjack tuna catches by purse seine in the west-central Pacific Ocean[J]. Haiyang Xuebao, 2017, 39(10): 32-45. doi: 10.3969/j.issn.0253-4193.2017.10.003

Preliminary analysis of predict model of fishing effort spatial distribution for skipjack tuna catches by purse seine in the west-central Pacific Ocean

doi: 10.3969/j.issn.0253-4193.2017.10.003
  • Received Date: 2016-12-29
  • Rev Recd Date: 2017-06-07
  • The west-central Pacific Ocean is the world's most important fishing ground for skipjack tuna (katsuwonus pelamis), this fishing area is always impact by ocean environment, especially sea surface temperature (SST) and Niño 3.4 index(SSTA). However, the fishing ground of skipjack tuna is widely distributed in the waters of many island countries, how to scientific guide the entry-fishing is an important studying object. According to the production data of skipjack tuna in the west-central Pacific Ocean during 1995-2012, and the total of 22 fishing zones (5°×5°) with the high catch are selected to analyze the spatial variation of fishing effort for skipjack tuna in central-west Pacific Ocean. The percentage of fishing effort is also regarded as the index of entry-fishing, and the optimal entry-fishing model between the index of entry-fishing and SST or SSTA is established. The results showed that main fishing efforts were focused in the area of 5°S-5°N in the direction of latitude, accounting for 87.4% of the total fishing effort. The area of 130°-140°E was the major fishing zone area in the longitudinal direction, accounting for 45.08% of the total fishing effort in the 22 fishing zones. The relationships between the index of entry-fishing and SSTA or SST all showed the normal distribution (P<0.01) for each fishing zone. The suitable value of SSTA model was on early 0.25℃, and the suitable value of SST model was nearly 29.5℃. For the top 10 ranking of entry-fishing index, we find that the actual index and predicted value is the same. It is concluded that this entry-fishing forecasting model can effectively predict fishing area distribution, which could give us a suitable advice for fisheries industries in the future.
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