
Bigeye tuna fishing ground analysis using oceanographic features in Eastern Indian Ocean off Southern Java
Author(s) -
Amanda Kusuma Dewi,
Jonson Lumban Gaol,
Vincentius P. Siregar,
Agus S. Atmadipoera
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/429/1/012043
Subject(s) - fishing , tuna , fishery , sea surface temperature , geography , environmental science , oceanography , meteorology , geology , fish <actinopterygii> , biology
The Eastern Indian Ocean off Southern Java is one of the bigeye tuna fishing hotspots and has a fishing potential of 27%. Analyses of bigeye tuna fishing areas focus on the South Java-Bali waters at coordinates of 105°-120 ° E and 5 ° - 20 ° S. Oceanographic parameters affect the habitat of Bigeye tuna. Sub surface temperature is an important and major factor in fishing layers. Time series of sub surface temperature data from 2005-2017 was used as an input for the analysis of the fuzzy inference system method. This method has been widely used in fisheries areas but has not yet been applied to fishing ground predictions. The use of vertical temperature data variation such as 100 m, 150 m, 200 m, 250 m, and 300 m are expected to be able to map the most optimal fishing potential area for bigeye tuna fishing ground. The model output is verified using actual coordinate data to obtain a relationship between the model results and coordinate catch point. The result show that at 200 m is the best fishing layer of bigeye tuna.