IDEAS home Printed from https://ideas.repec.org/a/hin/complx/5553935.html
   My bibliography  Save this article

Prediction of Fish Migration Caused by Ocean Warming Based on SARIMA Model

Author

Listed:
  • Feng Xu
  • Yu-Ang Du
  • Hong Chen
  • Jia-Ming Zhu
  • Shaohui Wang

Abstract

Herring and mackerel are two of the most important pillars of Scottish fisheries. In recent years, global warming has caused a gradual rise in ocean temperatures. In order to survive and reproduce, herring and mackerel populations will migrate. This will have a huge impact on Scotland’s fisheries. Therefore, we need to predict the relocation of fish stocks in advance, make timely adjustments to the fishing range, and minimize the loss of the fishing industry. In this article, we subdivide the research target sea area into 39 regions, establish the optimal SARIMA model for each region based on the collected seawater temperature time series data, and take region 13 and region 15 as examples to fit the ARIMA (3, 3, 1) (1, 2, 1) and ARIMA (2, 3, 1) (0, 2, 1) models with a period of 12. The results show that the SARIMA model fits well in all regions and predicts the temperature changes in the studied sea area from 2021 to 2050. Finally, according to the predicted sea temperature in different periods, the migration position of the fish school is predicted.

Suggested Citation

  • Feng Xu & Yu-Ang Du & Hong Chen & Jia-Ming Zhu & Shaohui Wang, 2021. "Prediction of Fish Migration Caused by Ocean Warming Based on SARIMA Model," Complexity, Hindawi, vol. 2021, pages 1-9, March.
  • Handle: RePEc:hin:complx:5553935
    DOI: 10.1155/2021/5553935
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/5553935.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/5553935.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/5553935?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:5553935. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.