Sukardi et al., S. (2024). Prediction Potential Fishing Zone of the Yellowfin Tuna (Thunnus albacares) in the Southern Flores Sea Using Satellite Remote Sensing Data. Egyptian Journal of Aquatic Biology and Fisheries, 28(4), 627-645. doi: 10.21608/ejabf.2024.369192
Sukardi Sukardi et al.. "Prediction Potential Fishing Zone of the Yellowfin Tuna (Thunnus albacares) in the Southern Flores Sea Using Satellite Remote Sensing Data". Egyptian Journal of Aquatic Biology and Fisheries, 28, 4, 2024, 627-645. doi: 10.21608/ejabf.2024.369192
Sukardi et al., S. (2024). 'Prediction Potential Fishing Zone of the Yellowfin Tuna (Thunnus albacares) in the Southern Flores Sea Using Satellite Remote Sensing Data', Egyptian Journal of Aquatic Biology and Fisheries, 28(4), pp. 627-645. doi: 10.21608/ejabf.2024.369192
Sukardi et al., S. Prediction Potential Fishing Zone of the Yellowfin Tuna (Thunnus albacares) in the Southern Flores Sea Using Satellite Remote Sensing Data. Egyptian Journal of Aquatic Biology and Fisheries, 2024; 28(4): 627-645. doi: 10.21608/ejabf.2024.369192
Prediction Potential Fishing Zone of the Yellowfin Tuna (Thunnus albacares) in the Southern Flores Sea Using Satellite Remote Sensing Data
Flores Sea has a very huge potential for large pelagic fish which is dominated by tuna. However, efforts to predict potential fishing areas are still very limited, especially by using Satellite Remote Sensing Data. The methods generally used are conventional methods which have limitations in terms of data accuracy, area coverage, and efficiency. This study aimed to map the oceanographic conditions of potential fishing zones through the interpretation of Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery and to determine the oceanographic conditions favored by the yellowfin tuna (Thunnus albacares) in the Southern Flores sea. The data collection was conducted directly in the field using longline fishing gear, where the fishing position and catch per trip were categorized as primary data. To analyze the data, the Generalized Additive Model (GAM) using oceanographic parameters (chlorophyll-a, depth, temperature, and salinity) was used. Using the Generalized Additive Model (GAM) with a CED value of 60.40% and an AIC value of 770.8742, the results showed that the sea surface temperature (SST), chlorophyll-a concentration, salinity, and depth are variables that affect fish catch. Oceanographic parameters in the yellowfin tuna fishing potential zone include a temperature range from 28.5 to 29°C, chlorophyll-a concentration of 0.10- 0.14mg/ m2, salinity of 33.7– 34ppt, and depth of 3500–1500m, with the largest Zone of Potential Fishing (ZPPI) in September 2023 covering 31,808 km2, with the largest fish catch amounting to 1038kg.
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