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Evaluating Suitability of Fishing Areas for Squid-Jigging Vessels in the Northwest Pacific Ocean Derived from AIS Data.

Authors :
Fei, Yingjie
Yang, Shenglong
Huang, Mengya
Wu, Xiaomei
Yang, Zhenzhen
Zhao, Jiangyue
Tang, Fenghua
Fan, Wei
Yuan, Sanling
Source :
Fishes (MDPI AG). Oct2023, Vol. 8 Issue 10, p530. 16p.
Publication Year :
2023

Abstract

Understanding the spatial distribution of fishing activity and suitable fishing areas is important for improving sustainable fisheries management and protecting vulnerable fish stocks. To identify climate-related habitat changes and variations in the distribution of fishing activity for squid-jigging vessels in the Northwest Pacific Ocean, two types (weighted arithmetic mean method, weighted-AMM; weighted geometric mean method, weighted-GMM) of habitat suitability index (HSI) models were developed in this study with marine environmental data at different depths. The boosted regression tree (BRT) model was adopted to access the monthly important environmental variables and the relative influence of the corresponding variables. The results showed that the weighted-AMM has better prediction performance than the weighted-GMM. The suitable fishing areas showed significant seasonal changes in both spatial location and coverage area. The hotspot map showed that the suitable fishing area for squid-jigging vessels was located in the scope of 42 ∘ N∼44 ∘ N, 155 ∘ E∼170 ∘ E throughout the year during 2012∼2019, which suggests that high squid-jigging fishing pressure should be given more attention in fishery management. The HSI model also had good prediction performance for the fishery data of Chinese companies, except for June and July. Additionally, fishing efforts could be used as alternative data for fishery research. The study has also suggested that fishery data are restricted by spatial and temporal distribution and fishing experience, which probably biases the results of the research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
24103888
Volume :
8
Issue :
10
Database :
Academic Search Index
Journal :
Fishes (MDPI AG)
Publication Type :
Academic Journal
Accession number :
173267021
Full Text :
https://doi.org/10.3390/fishes8100530