Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of Java
The southern waters of Java are suitable to be the largest supplier of Yellowfin tuna exports in Indonesia, but have not efficiently produced the expected yield. This research minimizes these constraints by modeling the yellowfin tuna fishing grounds in the southern waters of Java based on oceanogra...
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| Format: | Article |
| Language: | English |
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Diponegoro University; Association of Indonesian Coastal Management Experts
2025-06-01
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| Series: | Ilmu Kelautan |
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| Online Access: | https://ejournal.undip.ac.id/index.php/ijms/article/view/58683 |
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| author | Bambang Semedi Novia Fara Diza Syarifah Hikmah Julinda Sari Dewa Gede Raka Wiadnya Tri Djoko Lelono Daduk Setyohadi Ledhyane Ika Harlyan Muhammad Arif Rahman Ming-An Lee |
| author_facet | Bambang Semedi Novia Fara Diza Syarifah Hikmah Julinda Sari Dewa Gede Raka Wiadnya Tri Djoko Lelono Daduk Setyohadi Ledhyane Ika Harlyan Muhammad Arif Rahman Ming-An Lee |
| author_sort | Bambang Semedi |
| collection | DOAJ |
| description | The southern waters of Java are suitable to be the largest supplier of Yellowfin tuna exports in Indonesia, but have not efficiently produced the expected yield. This research minimizes these constraints by modeling the yellowfin tuna fishing grounds in the southern waters of Java based on oceanographic factors such as Sea Surface Temperature (SST), chlorophyll-a (CHL_A), Sea Surface Salinity (SSS), Sea Surface Height (SSH) using an integration between remote sensing, Geographic Information Systems (GIS), and the Generalized Additive Model (GAM) statistical method. This study used oceanographic factor data from Aqua MODIS Level-3 and Copernicus, while yellowfin tuna fishery production was obtained from Palabuhanratu Nusantara Fishing Port (NFP), Cilacap Ocean Fishing Port (OFP), and Pondokdadap Coastal Fishing Port (CFP). The modeling process used 80% of the data, while the remaining 20% was used to validate the model results. The order of influence of oceanographic parameters from largest to smallest is SST > SSS > SSH > CHL-A. The best model from the GAM analysis showed that the combination of four oceanographic parameters had the greatest influence on yellowfin tuna CPUE. The catch per unit effort (CPUE) of yellowfin tuna was predicted to be high in May-October and low in November-April. The prediction model had high accuracy because most of the fishing activity was in the HSI 0.4-0.5 range and the RMSEP value was 0.63. Yellowfin tuna were suitable in habitats distributed from inshore to offshore in June and July, but less suitable in December. |
| format | Article |
| id | doaj-art-ef884c3be39b40849c25565c2c844c84 |
| institution | DOAJ |
| issn | 0853-7291 2406-7598 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Diponegoro University; Association of Indonesian Coastal Management Experts |
| record_format | Article |
| series | Ilmu Kelautan |
| spelling | doaj-art-ef884c3be39b40849c25565c2c844c842025-08-20T02:42:12ZengDiponegoro University; Association of Indonesian Coastal Management ExpertsIlmu Kelautan0853-72912406-75982025-06-0130216317310.14710/ik.ijms.30.2.163-17326012Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of JavaBambang Semedi0https://orcid.org/0009-0009-9074-2924Novia Fara Diza1https://orcid.org/0009-0004-0704-4716Syarifah Hikmah Julinda Sari2https://orcid.org/0000-0002-5458-3059Dewa Gede Raka Wiadnya3Tri Djoko Lelono4Daduk Setyohadi5Ledhyane Ika Harlyan6Muhammad Arif Rahman7Ming-An Lee8Faculty of Fisheries and Marine Science, Brawijaya University, IndonesiaFaculty of Fisheries and Marine Science, Brawijaya University, IndonesiaFaculty of Fisheries and Marine Science, Brawijaya University, IndonesiaFaculty of Fisheries and Marine Science, Brawijaya University, IndonesiaFaculty of Fisheries and Marine Science, Brawijaya University, IndonesiaFaculty of Fisheries and Marine Science, Brawijaya University, IndonesiaFaculty of Fisheries and Marine Science, Brawijaya University, IndonesiaFaculty of Fisheries and Marine Science, Brawijaya University, IndonesiaDepartment of Environmental Biology and Fisheries Science, National Taiwan Ocean University, TaiwanThe southern waters of Java are suitable to be the largest supplier of Yellowfin tuna exports in Indonesia, but have not efficiently produced the expected yield. This research minimizes these constraints by modeling the yellowfin tuna fishing grounds in the southern waters of Java based on oceanographic factors such as Sea Surface Temperature (SST), chlorophyll-a (CHL_A), Sea Surface Salinity (SSS), Sea Surface Height (SSH) using an integration between remote sensing, Geographic Information Systems (GIS), and the Generalized Additive Model (GAM) statistical method. This study used oceanographic factor data from Aqua MODIS Level-3 and Copernicus, while yellowfin tuna fishery production was obtained from Palabuhanratu Nusantara Fishing Port (NFP), Cilacap Ocean Fishing Port (OFP), and Pondokdadap Coastal Fishing Port (CFP). The modeling process used 80% of the data, while the remaining 20% was used to validate the model results. The order of influence of oceanographic parameters from largest to smallest is SST > SSS > SSH > CHL-A. The best model from the GAM analysis showed that the combination of four oceanographic parameters had the greatest influence on yellowfin tuna CPUE. The catch per unit effort (CPUE) of yellowfin tuna was predicted to be high in May-October and low in November-April. The prediction model had high accuracy because most of the fishing activity was in the HSI 0.4-0.5 range and the RMSEP value was 0.63. Yellowfin tuna were suitable in habitats distributed from inshore to offshore in June and July, but less suitable in December.https://ejournal.undip.ac.id/index.php/ijms/article/view/58683fishing groundsgamsouthern waters of javayellowfin tuna |
| spellingShingle | Bambang Semedi Novia Fara Diza Syarifah Hikmah Julinda Sari Dewa Gede Raka Wiadnya Tri Djoko Lelono Daduk Setyohadi Ledhyane Ika Harlyan Muhammad Arif Rahman Ming-An Lee Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of Java Ilmu Kelautan fishing grounds gam southern waters of java yellowfin tuna |
| title | Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of Java |
| title_full | Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of Java |
| title_fullStr | Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of Java |
| title_full_unstemmed | Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of Java |
| title_short | Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of Java |
| title_sort | habitat suitability modeling based on oceanographic factors for yellowfin tuna thunnus albacares fishing grounds in the southern waters of java |
| topic | fishing grounds gam southern waters of java yellowfin tuna |
| url | https://ejournal.undip.ac.id/index.php/ijms/article/view/58683 |
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