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|Title:||ASSESSMENT OF SPATIOTEMPORAL DISTRIBUTION OF ANCHOVY CATCHES BASED ON VESSEL MONITORING SYSTEM (VMS) AND MODIS SATELLITE DATA IN THE GULF OF THAILAND|
Burapha University. Faculty of Geoinformatics
Vessel Monitoring System (VMS)
Gulf of Thailand
|Abstract:||Anchovies are the most economical fish for pelagic of Thailand, according to the statistics of the Department of Fisheries in Thailand regarding fish species in commercial fisheries in 2018, the total economy fish consumed was 860,372 tons or 70.96 percent of the total fish. Quantity, amounting to 24,866.91 million Baht or 89.47 percent of the total fish cost. The Anchovy has the highest amount of 162,555 tons (18.89%), worth 3,161.17 million Baht (12.71%). The high catch statistics and great value will make it necessary to have an education about the spatial distribution of anchovy and related environmental factors for the sustainable use of anchovies in the future.
For Thai fisheries law, vessels capable of fishing with anchovies must apply to the Department of Fisheries. The gears for anchovy fishing were anchovy falling net, anchovy surrounding the net, and anchovy lift nets. These vessels are required by law to be equipped with a vessel monitoring system and a record of fishing operations in the logbook.
This study is based on the hypothesis that the fishing vessel has to fish in areas where the anchovies are densely inhabited.
This is because the anchovies are small pelagic fish and are the first consumers of the marine food web. The main food of this fish is a group of zooplankton organisms. Therefore, areas with high zooplankton should also have a lot of phytoplanktons because phytoplankton is the primary producer of the marine. Remote sensing technology is, therefore, an important tool in the measurement of marine environmental factors because it is a convenient, fast, comprehensive measuring tool suitable for large study areas and, most importantly, cost- effective when compared with factor studies in an environment by field data collection.
The data collection for this study is divided into 2 parts. The first part of data in the vessel section is the vessel's route data, fishing point, and the weight of anchovy obtained from fishing operations which is information from the Department of Fisheries, Thailand. The second part is the environmental factor data obtained from remote sensing technology. This study will study two main factors: chlorophyll A (Chl-A) and sea surface temperature (SST), which are the data obtained from Aqua MODIS Satellite. When data from both two parts have obtained the relationship of the anchovy was found with the 2 environmental factors by using the Generalized Additive Model (GAMs) to find the relationship.
Objectives of this study are: 1) To find fishing locations of the anchovies from anchovy fishing vessel 2) To compare the fishing positions in 3 different seasons (Northeast monsoon, Southwest monsoon and Non-monsoon) and 3) To using Generalized Additive Models (GAMs) for determining the fish distribution in relation to environmental conditions.
Aqua MODIS satellite imagery shows the amount of chlorophyll-A at the surface of the Sea. It was found to be high during the northeast monsoon and low in the northeast monsoon, notably on the east coast. Chlorophyll-A values are high in the upper Gulf of Thailand, near the estuary, which is on the north coast and near the west coast of the central Gulf of Thailand and spread out into the upper Gulf of Thailand. However, the value on the west coast of this season was low compared to that of the non-monsoon and southwest monsoon. Anchovy fishing ground overlaid on SST in the Gulf of Thailand in 3 different seasons found that SST in the non-monsoon was lower than those in northeast monsoon and southwest monsoon. SST along the coastline around the gulf was found to be higher than that in other regions in 3 seasons.
In the non-monsoon, catch a lot of fish during Chl-a was <0.2-0.6 mg/m3 and high catch weight was 0.21-0.40 mg/m3, In Northeast monsoon, catch a lot of fish during of Chl-a was <0.2-1.2 mg/m3 and high catch weight was 0.21-0.40 mg/m3. In Southwest monsoon, catch a lot of fish during of Chl-a was <0.2-0.8 mg/m3 and high catch weight was 0.21-0.40 mg/m3.
In the non-monsoon, catch a lot of fish on SST was 28.5-29.5 °C and the high catch weight was 29.0-29.5 °C. In the northeast monsoon, catch a lot of fish on SST was 28.5-30.5 °C and the high catch weight was 29.5-30.0 °C. In southwest monsoon, catch a lot of fish on SST was 29.0-31.5 °C and high catch weight was 30.0-30.5 °C.|
|Description:||Master Degree of Science (M.Sc.)|
|Appears in Collections:||Faculty of Geoinformatics|
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