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Xie En'ge,Chen Xinjun,Wang Jintao, et al. Study on residual yield model of winter fishes of Todarodes pacificus based on water temperature factors[J]. Haiyang Xuebao,2019, 41(12):71–77,doi:10.3969/j.issn.0253−4193.2019.12.017
Citation: Xie En'ge,Chen Xinjun,Wang Jintao, et al. Study on residual yield model of winter fishes of Todarodes pacificus based on water temperature factors[J]. Haiyang Xuebao,2019, 41(12):71–77,doi:10.3969/j.issn.0253−4193.2019.12.017

Study on residual yield model of winter fishes of Todarodes pacificus based on water temperature factors

doi: 10.3969/j.issn.0253-4193.2019.12.017
  • Received Date: 2018-05-22
  • Rev Recd Date: 2019-01-28
  • Available Online: 2021-04-21
  • Publish Date: 2019-12-25
  • Water temperature is one of the important factors affecting the growth, reproduction and supplement of the winter fishes of Todarodes in the Pacific. According to the fishery data of the Pacific winter Todarodes from 2004 to 2015 and its habitat environment data, including the January spawning ground (28°–35°N, 125°–130°E) and the September feeding ground (31°–38°N, 128°–132°E) sea surface temperature (SST), a surplus production model based on SST factor was established to analyze the effect of SST on the resources of the winter migrating fish population of the North Pacific Todarodes. By verifying the indicators of the model of the surplus production model, this study find that the model has higher prediction accuracy. The results show that the resources and catches of the winter fishes of Todarodes pacificus are mainly affected by the SST of the feeding ground, but the spawning ground SST has no significant effect on its catch in the current year. Therefore, it is recommended to strengthen the research on whether the SST factor of the spawning ground may affect the catch and resources of the next year, and the fishery management department should also determine its maximum sustainable yield according to the state of the marine environment every year, and the management plan should be adjusted in real time.
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