Monitoring Off-Shore Fishing in the Northern Indian Ocean Based on Satellite Automatic Identification System and Remote Sensing Data
- PMID: 38339498
- PMCID: PMC10857284
- DOI: 10.3390/s24030781
Monitoring Off-Shore Fishing in the Northern Indian Ocean Based on Satellite Automatic Identification System and Remote Sensing Data
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.
Keywords: automatic identification system (AIS); chlorophyll a concentration (Chl-a); fishing vessels; northern Indian Ocean; sea surface temperature (SST); spatial–temporal distribution.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
![Figure 1](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10857284/bin/sensors-24-00781-g001.gif)
![Figure 2](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10857284/bin/sensors-24-00781-g002.gif)
![Figure 3](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10857284/bin/sensors-24-00781-g003.gif)
![Figure 4](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10857284/bin/sensors-24-00781-g004a.gif)
![Figure 4](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10857284/bin/sensors-24-00781-g004a.gif)
![Figure 5](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10857284/bin/sensors-24-00781-g005a.gif)
![Figure 5](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10857284/bin/sensors-24-00781-g005a.gif)
![Figure 6](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10857284/bin/sensors-24-00781-g006.gif)
![Figure 7](https://cdn.statically.io/img/www.ncbi.nlm.nih.gov/pmc/articles/instance/10857284/bin/sensors-24-00781-g007.gif)
Similar articles
-
Exploring biophysical links of catch rate from mid-water trawl fishery in the north-west coast of India, Eastern Arabian Sea: A remote sensing approach.Sci Total Environ. 2023 Aug 15;886:163975. doi: 10.1016/j.scitotenv.2023.163975. Epub 2023 May 8. Sci Total Environ. 2023. PMID: 37164087
-
Hydroids (Cnidaria, Hydrozoa) from Mauritanian Coral Mounds.Zootaxa. 2020 Nov 16;4878(3):zootaxa.4878.3.2. doi: 10.11646/zootaxa.4878.3.2. Zootaxa. 2020. PMID: 33311142
-
[Relationship between fishing grounds temporal-spatial distribution of Thunnus obesus and thermocline characteristics in the Western and Central Pacific Ocean].Ying Yong Sheng Tai Xue Bao. 2017 Jan;28(1):281-290. doi: 10.13287/j.1001-9332.201701.013. Ying Yong Sheng Tai Xue Bao. 2017. PMID: 29749213 Chinese.
-
[Fishing grounds characteristics of Illex argentinus in southwest Atlantic].Ying Yong Sheng Tai Xue Bao. 2009 Jun;20(6):1445-51. Ying Yong Sheng Tai Xue Bao. 2009. PMID: 19795657 Chinese.
-
The northern shrimp (Pandalus borealis) offshore fishery in the Northeast Atlantic.Adv Mar Biol. 2007;52:147-266. doi: 10.1016/S0065-2881(06)52002-4. Adv Mar Biol. 2007. PMID: 17298891 Review.
References
-
- Ji S., Zhou W., Fan W., Jin S., Cui X. Sea surface temperature anomaly’s interannual variability in pelagic fishing grounds of China. Mar. Sci. 2016;40:85–93.
Grants and funding
LinkOut - more resources
Full Text Sources
Miscellaneous