Home Journals Articles Updates About
CN
image
收藏切换
Lag effect of climate change on CPUE of Thunnus albacares and Katsuwonus pelamis in the western and central Pacific Ocean purse seine fishery: An LSTM-Based study
收藏切换
PDF
Jian Zhang1, 2, 3, 4, Houcheng Song1, Wenjun Liu1, Jiangao Shi5
Haiyang Xuebao | 2024, 46(7) : 62 - 72
Less
收藏切换
Haiyang Xuebao | 2024, 46(7): 62-72
Lag effect of climate change on CPUE of Thunnus albacares and Katsuwonus pelamis in the western and central Pacific Ocean purse seine fishery: An LSTM-Based study
Full
Jian Zhang1, 2, 3, 4, Houcheng Song1, Wenjun Liu1, Jiangao Shi5
Affiliations
  • 1. College of Marine Living Resource Sciences and Management, Shanghai Ocean University, Shanghai 201306, China
  • 2. National Engineering Research Centre for Oceanic Fisheries, Shanghai Ocean University, Shanghai 201306, China
  • 3. Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China
  • 4. Key Laboratory of Ocean Fisheries Development, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China
  • 5. East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Published: 2024-07-31 doi: 10.12284/hyxb2024080
Outline
收藏切换

Yellowfin tuna (Thunnus albacares) and skipjack tuna (Katsuwonus pelamis) are pelagic and highly migratory species, serving as primary targets in global pelagic fisheries. Their population distribution and abundance are susceptible to the impacts of climate-induced changes in the marine environment, exhibiting a response lag. In order to explore the influence of climate change on the juvenile populations of yellowfin tuna and skipjack tuna in the western and central Pacific Ocean (WCPO) and the associated lag effects, this study, based on Long Short-Term Memory (LSTM) neural networks, analyzed the impact of the Oceanic Niño index (ONI) on the Catch per Unit Effort (CPUE) of yellowfin tuna and skipjack tuna in the WCPO purse seine fishery from 1982 to 2021. Different time step lengths were employed to simulate the lag effects (0−12 months) of CPUE response to ONI. The results indicate LSTM is a suitable tool for analyzing the lag effects of relationship between the abundance of pelagic species, such as yellowfin tuna and skipjack tuna, and environmental factors like ONI. In the WCPO regions north and south of the equator, there exists a time lag in the response of juvenile yellowfin tuna and skipjack tuna CPUE to ONI, with the optimal lag period being 12 months for each region. The correspondence of the optimal lag period with the age of the harvested population (nearly 1 year) suggests that the reproductive capacity or survival rate of juvenile yellowfin tuna and skipjack tuna is influenced by climate change and the resulting changes in the marine environment. The research methodology and results provide new insights for subsequent studies in analyzing the stock dynamics and distribution of key species in the WCPO.

Thunnus albacares  /  Katsuwonus pelamis  /  Oceanic Niño index  /  lag effect  /  LSTM  /  western and central Pacific Ocean
Jian Zhang, Houcheng Song, Wenjun Liu, Jiangao Shi. Lag effect of climate change on CPUE of Thunnus albacares and Katsuwonus pelamis in the western and central Pacific Ocean purse seine fishery: An LSTM-Based study[J]. Haiyang Xuebao, 2024 , 46 (7) : 62 -72 . DOI: 10.12284/hyxb2024080
Appendix
Less
Year 2024 volume 46 Issue 7
PDF
179
78
Cite this Article
BibTeX
Article Info
doi: 10.12284/hyxb2024080
  • Receive Date：2024-02-03
  • Online Date：2025-11-26
  • Published：2024-07-31
Article Data
Affiliations
History
  • Received：2024-02-03
  • Revised：2024-04-03
Funding
Affiliations
    1. College of Marine Living Resource Sciences and Management, Shanghai Ocean University, Shanghai 201306, China
    2. National Engineering Research Centre for Oceanic Fisheries, Shanghai Ocean University, Shanghai 201306, China
    3. Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China
    4. Key Laboratory of Ocean Fisheries Development, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai 201306, China
    5. East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
References
Share
https://castjournals.cast.org.cn/joweb/hyxb/EN/10.12284/hyxb2024080
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House