ORIGINAL RESEARCH article
Front. Mar. Sci.
Sec. Marine Fisheries, Aquaculture and Living Resources
Volume 12 - 2025 | doi: 10.3389/fmars.2025.1567030
Multiscale variation analysis of sea surface temperature in the fishing grounds of pelagic fisheries
Provisionally accepted
- East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Sea surface temperature (SST) are the focus of attention in global climate discussion. In particular, for pelagic fisheries that depend on the marine environment, understanding and mastering changes in SST is of great significance for managing fisheries resources to promote their sustainability. Multiscale variation analysis of SST from 1982 to 2021 has been done in this paper concerning the main eight fishing grounds of pelagic fisheries using the Optimum Interpolation Sea Surface Temperature(OISST) released by NOAA. The mean, incremental quantity, standard deviation, and overall mean standard deviation of SST per decade in these eight fishing grounds are calculated. Fast Fourier Transform, STL decomposition, and PELT of change point detection method are used get the trends and fluctuations of SST by obtaining the metrics, such as seasonal intensity indices, cycles, and change points. The study results show that: ① Over the past 40 years according to the average SST per 10 years, the main fishing grounds worldwide have warmed significantly. The cumulative warming of the fishing grounds in the northwest Pacific and the western Pacific is most obvious. However, except for the northwest Pacific, the increase of the average SST in the last 10 years is higher than in the previous 10 years in all areas. Among them, there are 5 regions which increase of the average SST in the last 10 years is higher than in the previous 2 decades, while the central Atlantic and the eastern Indian Ocean showed that the most significant increases of the average SST take place in the period from 1992 to 2001. ② From the standard deviation, and overall mean standard deviation of SST per decade, the West Pacific and the Northwest Pacific have the most significant long-term and short-term fluctuations. ③ The two regions with the highest seasonal intensity index are the northwest Pacific and the eastern Indian Ocean.
Keywords: Pelagic fisheries, sea surface temperature, Ocean Nino Index, trend decomposition, loess, Variance Analysis, The Interquartile Ranges, FFT
Received: 26 Jan 2025; Accepted: 19 May 2025.
Copyright: © 2025 Zhou and Lai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Weifeng Zhou, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.