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Volume 14
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Article

Characterizing Fishing Behaviors and Intensity of Vessels Based on BeiDou VMS Data: A Case Study of TACs Project for Acetes chinensis in the Yellow Sea

by
Guodong Li
1,2,
Ying Xiong
2,*,
Xiaming Zhong
2,*,
Dade Song
1,2,
Zhongjie Kang
1,2,
Dongjia Li
1,2,
Fan Yang
3 and
Xiaorui Wu
1,2
1
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
2
Jiangsu Marine Fisheries Research Institute, Nantong 226007, China
3
College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
*
Authors to whom correspondence should be addressed.
Sustainability 2022, 14(13), 7588; https://doi.org/10.3390/su14137588
Submission received: 7 May 2022 / Revised: 20 June 2022 / Accepted: 20 June 2022 / Published: 22 June 2022
(This article belongs to the Topic Machine Learning and Big Data Analytics for Sustainability and Resilience)
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Abstract

The total allowable catch system (TACs) is a basic, widely used system for maintaining marine fishery resources. The vessel monitoring system (VMS) provides a superior method to monitor fishing activities that serve TACs project management. However, few studies have been conducted on this topic. Here, an artificial neural network was used to identify vessel position states based on BeiDou VMS data and fishing logs of vessels under the TACs project for Acetes chinensis in the Yellow Sea in 2021. Furthermore, fishing behaviors and intensity were explored. The results showed significant differences in the speed of vessels in different states (p < 0.01). Casting occurred during the day, and the azimuth of fishing nets for shrimp ranged from 60 to 90° or 240 to 270°. The length of the fishing nets of each vessel was mostly between 3500 and 4500 m. In addition, the fishing efforts of the vessels showed an obvious aggregated distribution. The main area was at 120°04′–120°16′ E, 34°42′–34°46′ N, whereas fishing intensity ranged from 120,000 to 280,000 m2·h/km2. Finally, this study provides a scientific basis for TACs project management and a VMS data mining and application expansion standard.
Keywords: vessel monitoring system; total allowable catch system; fishing intensity; Acetes chinensis; Yellow Sea vessel monitoring system; total allowable catch system; fishing intensity; Acetes chinensis; Yellow Sea

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MDPI and ACS Style

Li, G.; Xiong, Y.; Zhong, X.; Song, D.; Kang, Z.; Li, D.; Yang, F.; Wu, X. Characterizing Fishing Behaviors and Intensity of Vessels Based on BeiDou VMS Data: A Case Study of TACs Project for Acetes chinensis in the Yellow Sea. Sustainability 2022, 14, 7588. https://doi.org/10.3390/su14137588

AMA Style

Li G, Xiong Y, Zhong X, Song D, Kang Z, Li D, Yang F, Wu X. Characterizing Fishing Behaviors and Intensity of Vessels Based on BeiDou VMS Data: A Case Study of TACs Project for Acetes chinensis in the Yellow Sea. Sustainability. 2022; 14(13):7588. https://doi.org/10.3390/su14137588

Chicago/Turabian Style

Li, Guodong, Ying Xiong, Xiaming Zhong, Dade Song, Zhongjie Kang, Dongjia Li, Fan Yang, and Xiaorui Wu. 2022. "Characterizing Fishing Behaviors and Intensity of Vessels Based on BeiDou VMS Data: A Case Study of TACs Project for Acetes chinensis in the Yellow Sea" Sustainability 14, no. 13: 7588. https://doi.org/10.3390/su14137588

APA Style

Li, G., Xiong, Y., Zhong, X., Song, D., Kang, Z., Li, D., Yang, F., & Wu, X. (2022). Characterizing Fishing Behaviors and Intensity of Vessels Based on BeiDou VMS Data: A Case Study of TACs Project for Acetes chinensis in the Yellow Sea. Sustainability, 14(13), 7588. https://doi.org/10.3390/su14137588

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