Home Journals Articles Updates About
CN
image
收藏切换
Spatio-temporal dynamic of abundance index of Neon flying squid in relation to environmental variables in the Northwest Pacific Ocean using BP neural network
收藏切换
PDF
Yameng Wang1, Jintao Wang1, 2, 3, 4, 5, *, Xinjun Chen1, 2, 3, 4, 5, Lin Lei1, 2, 3, 4, 5
Haiyang Xuebao | 2021, 43(6) : 81 - 89
Less
收藏切换
Haiyang Xuebao | 2021, 43(6): 81-89
• Article •
Spatio-temporal dynamic of abundance index of Neon flying squid in relation to environmental variables in the Northwest Pacific Ocean using BP neural network
Full
Yameng Wang1, Jintao Wang1, 2, 3, 4, 5, *, Xinjun Chen1, 2, 3, 4, 5, Lin Lei1, 2, 3, 4, 5
Affiliations
  • 1College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
  • 2Key Laboratory of Oceanic Fisheries Exploration, Ministry of Agriculture, Shanghai 201306, China
  • 3National Engineering Research Center for Oceanic Fisheries, Shanghai Ocean University, Shanghai 201306, China
  • 4Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China
  • 5Scientific Observing and Experimental Station of Oceanic Fishery Resources, Ministry of Agriculture, Shanghai 201306, China
Published: 2021-06-25 doi: 10.12284/hyxb2021106
Outline
收藏切换

Ommastrephes bartramii is an economically important species for Chinese squid jigging fleet. Understanding the spatio-temporal distribution on fishing ground is crucial to the sustainable utilization of fish resources. The study constructed BP (back propagation) neural network models with different scenarios to speculate the dynamics of O. bartramii abundance based on fishery data in the months of July to October during 2000 to 2015. The model with year, month, longitude, latitude, sea surface temperature (SST), and sea surface salinity (SSS) as independent variables, 8 neurons in hidden layers, had the smallest mean square error, and thus selected as optimal model. The results showed that the significant fluctuation in CPUE between years, the local abundance was low and scattered in July and October, whereas was high and concentrated at 41.5°−43.5°N, 155°−160°E in August and September. Environmental factors, including SST and SSS affect the spatio-temporal distribution of local abundance, and should be considered in stock assessment and management.

Northwest Pacific  /  back propagation neural network  /  spatial-temporal change  /  standardization
Yameng Wang, Jintao Wang, Xinjun Chen, Lin Lei. Spatio-temporal dynamic of abundance index of Neon flying squid in relation to environmental variables in the Northwest Pacific Ocean using BP neural network[J]. Haiyang Xuebao, 2021 , 43 (6) : 81 -89 . DOI: 10.12284/hyxb2021106
Appendix
Less
Year 2021 volume 43 Issue 6
PDF
206
93
Cite this Article
BibTeX
Article Info
doi: 10.12284/hyxb2021106
  • Receive Date：2019-11-18
  • Online Date：2026-02-26
  • Published：2021-06-25
Article Data
Affiliations
History
  • Received：2019-11-18
  • Revised：2020-04-23
Funding
Affiliations
    1College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
    2Key Laboratory of Oceanic Fisheries Exploration, Ministry of Agriculture, Shanghai 201306, China
    3National Engineering Research Center for Oceanic Fisheries, Shanghai Ocean University, Shanghai 201306, China
    4Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University, Shanghai 201306, China
    5Scientific Observing and Experimental Station of Oceanic Fishery Resources, Ministry of Agriculture, Shanghai 201306, China
References
Share
https://castjournals.cast.org.cn/joweb/hyxb/EN/10.12284/hyxb2021106
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