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

文献类型： 外文期刊

第一作者： Fei, Yingjie

作者： Fei, Yingjie;Huang, Mengya;Wu, Xiaomei;Yang, Zhenzhen;Zhao, Jiangyue;Yuan, Sanling;Yang, Shenglong;Tang, Fenghua;Fan, Wei;Yang, Shenglong;Tang, Fenghua;Fan, Wei

作者机构：

关键词： automatic identification system; squid-jigging vessel; Ommastrephes bartramii; boosted regression trees model; habitat suitability index model

期刊名称：FISHES （ 影响因子：2.3； 五年影响因子：2.4 ）

ISSN：

年卷期： 2023 年 8 卷 10 期

页码：

收录情况： SCI

摘要： 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(degrees) N similar to 44(degrees) N, 155(degrees) E similar to 170(degrees) E throughout the year during 2012 similar to 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.

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