Monitoring Off-Shore Fishing in the Northern Indian Ocean Based on Satellite Automatic Identification System and Remote Sensing Data

Author:

Li Jie123,Xing Qianguo123ORCID,Li Xuerong1,Arif Maham123,Li Jinghu123ORCID

Affiliation:

1. CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China

2. Shandong Key Laboratory of Coastal Environmental Processes, Yantai 264003, China

3. University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

Satellite-derived Sea Surface Temperature (SST) and sea-surface Chlorophyll a concentration (Chl-a), along with Automatic Identification System (AIS) data of fishing vessels, were used in the examination of the correlation between fishing operations and oceanographic factors within the northern Indian Ocean from March 2020 to February 2023. Frequency analysis and the empirical cumulative distribution function (ECDF) were used to calculate the optimum ranges of two oceanographic factors for fishing operations. The results revealed a substantial influence of the northeast and southwest monsoons significantly impacting fishing operations in the northern Indian Ocean, with extensive and active operations during the period from October to March and a notable reduction from April to September. Spatially, fishing vessels were mainly concentrated between 20° N and 6° S, extending from west of 90° E to the eastern coast of Africa. Observable seasonal variations in the distribution of fishing vessels were observed in the central and southeastern Arabian Sea, along with its adjacent high sea of the Indian Ocean. Concerning the marine environment, it was observed that during the northeast monsoon, the suitable SST contributed to high CPUEs in fishing operation areas. Fishing vessels were widely distributed in the areas with both mid-range and low-range Chl-a concentrations, with a small part distributed in high-concentration areas. Moreover, the monthly numbers of fishing vessels showed seasonal fluctuations between March 2020 and February 2023, displaying a periodic pattern with an overall increasing trend. The total number of fishing vessels decreased due to the impact of the COVID-19 pandemic in 2020, but this was followed by a gradual recovery in the subsequent two years. For fishing operations in the northern Indian Ocean, the optimum ranges for SST and Chl-a concentration were 27.96 to 29.47 °C and 0.03 to 1.81 mg/m3, respectively. The preliminary findings of this study revealed the spatial–temporal distribution characteristics of fishing vessels in the northern Indian Ocean and the suitable ranges of SST and Chl-a concentration for fishing operations. These results can serve as theoretical references for the production and resource management of off-shore fishing operations in the northern Indian Ocean.

Funder

Chinese Academy of Science

International Partnership Program of the Chinese Academy of Sciences, the Strategic Priority Research Program of the Chinese Academy of Sciences

Informatization Plan of the Chinese Academy of Sciences

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference57 articles.

1. Far from home: Distance patterns of global fishing fleets;Tickler;Sci. Adv.,2018

2. Wafar, M., Venkataraman, K., Ingole, B., Ajmal Khan, S., and LokaBharathi, P. (2011). State of knowledge of coastal and marine biodiversity of Indian Ocean countries. PLoS ONE, 6.

3. Sea surface temperature anomaly’s interannual variability in pelagic fishing grounds of China;Ji;Mar. Sci.,2016

4. Fish, fishers and fisheries of the Western Indian Ocean: Their diversity and status. A preliminary assessment;Everett;Philos. Trans. R. Soc. A Math. Phys. Eng. Sci.,2005

5. Ecosystem-based fisheries management and the precautionary approach in the Indian Ocean regional fisheries management organisations;Karim;Mar. Pollut. Bull.,2020

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