Mapping Potential Fishing Zones as Indicators of Pelagic Ecosystem Service Hotspots in the Makassar Strait using Satellite-Derived SST and Chlorophyll-a Anomalies
DOI:
https://doi.org/10.69930/ajer.v3i2.741Keywords:
Potential Fishing Zone; Ecosystem Services; Pelagic Habitat; Chlorophyll-A Anomaly; Makassar StraitAbstract
This study developed an anomaly-based framework to map potential fishing zones (PFZs) in the Makassar Strait from satellite-derived sea surface temperature (SST) and chlorophyll-a (Chl-a) during 2022–2024. Daily GCOM-C/SGLI Level-3 Version 3 products were quality-masked, converted to physical units, aggregated to a 0.1° × 0.1° grid, and summarized as monthly composites. Monthly anomalies were then calculated relative to a month-specific three-year climatology. PFZs were defined as pixels simultaneously showing high Chl-a anomalies, represented by the 80th percentile of the spatial distribution of the temporal mean anomaly field, and relative cooling (SST anomaly ≤ 0). Monthly PFZ area ranged from 4,658 to 144,923 km², with a mean of 52,606 ± 33,834 km², whereas PFZ area fraction ranged from 0.012 to 0.352, with a mean of 0.130 ± 0.084. Seasonally, PFZs were most extensive during JJA (mean 66,973 km²; fraction 0.161) and least extensive during DJF (43,046 km²; fraction 0.112). Recurrent PFZ hotspots were concentrated in the central-southern Makassar Strait and along the eastern sector near the Sulawesi coast, where occurrence frequency reached about 58%. Valid-pixel diagnostics showed relatively stable AOI-level coverage (SST mean 0.534; Chl-a mean 0.548), indicating that the observed PFZ variability could not be explained by data gaps alone. These findings indicate that recurrent PFZs can be interpreted as pelagic ecosystem service hotspots that support ecosystem-based fisheries management, biodiversity conservation, and the sustainable use of marine resources, while aligning with SDG 14 (Life Below Water) and the post-2020 global biodiversity framework of the Convention on Biological Diversity.
References
1. Polovina JJ, Howell E, Kobayashi DR, Seki MP. The transition zone chlorophyll front, a dynamic global feature defining migration and forage habitat for marine resources. Progress in Oceanography. 2001;49(1-4):469-83. doi:10.1016/S0079-6611(01)00036-2
2. Scales KL, Miller PI, Hawkes LA, Ingram SN, Sims DW, Votier SC. On the Front Line: frontal zones as priority at-sea conservation areas for mobile marine vertebrates. Journal of Applied Ecology. 2014;51(6):1575-83. doi:10.1111/1365-2664.12330
3. Zainuddin M, Farhum A, Safruddin S, Selamat MB, Sudirman S, Nurdin N, et al. Detection of pelagic habitat hotspots for skipjack tuna in the Gulf of Bone-Flores Sea, southwestern Coral Triangle tuna, Indonesia. PLoS ONE. 2017;12(10):e0185601. doi:10.1371/journal.pone.0185601
4. Zainuddin M, Safruddin S, Farhum A, Budimawan B, Hidayat R, Selamat MB, et al. Satellite-based ocean color and thermal signatures defining habitat hotspots and the movement pattern for commercial skipjack tuna in Indonesia Fisheries Management Area 713, Western Tropical Pacific. Remote Sensing. 2023;15(5):1268. doi:10.3390/rs15051268
5. Puspita AR, Syamsuddin ML, Subiyanto, Syamsudin F, Purba NP. Predictive modeling of eastern little tuna (Euthynnus affinis) catches in the Makassar Strait using the generalized additive model. Journal of Marine Science and Engineering. 2023;11(1):165. doi:10.3390/jmse11010165
6. Hobday AJ, Hartmann K. Near real-time spatial management based on habitat predictions for a longline bycatch species. Fisheries Management and Ecology. 2006;13:365-80. doi:10.1111/j.1365-2400.2006.00515.x
7. Hobday AJ, Alexander LV, Perkins SE, Smale DA, Straub SC, Oliver ECJ, et al. A hierarchical approach to defining marine heatwaves. Progress in Oceanography. 2016;141:227-38. doi:10.1016/j.pocean.2015.12.014
8. Liu C, Berry PM, Dawson TP, Pearson RG. Selecting thresholds of occurrence in the prediction of species distributions. Ecography. 2005;28(3):385-93. doi:10.1111/j.0906-7590.2005.03957.x
9. Oliver ECJ, Donat MG, Burrows MT, Moore PJ, Smale DA, Alexander LV, et al. Longer and more frequent marine heatwaves over the past century. Nature Communications. 2018;9:1324. doi:10.1038/s41467-018-03732-9
10. Gordon AL, Sprintall J, Van Aken HM, Susanto RD, Wijffels S, Molcard R, et al. The Indonesian throughflow during 2004-2006 as observed by the INSTANT program. Dynamics of Atmospheres and Oceans. 2010;50(2):115-28. doi:10.1016/j.dynatmoce.2009.12.002
11. Sprintall J, Gordon AL, Koch-Larrouy A, Lee T, Potemra JT, Pujiana K, et al. The Indonesian seas and their role in the coupled ocean-climate system. Nature Geoscience. 2014;7:487-92. doi:10.1038/ngeo2188
12. Xu T, Wei Z, Zhao H, Guan S, Li S, Wang G, et al. Simulated Indonesian Throughflow in Makassar Strait across the SODA3 products. Acta Oceanologica Sinica. 2024;43:80-98. doi:10.1007/s13131-023-2186-6
13. International Ocean Colour Coordinating Group. Atmospheric correction for remotely-sensed ocean-colour products. Wang M, editor. IOCCG Report No. 10. Dartmouth: IOCCG; 2010. doi:10.25607/OBP-101
14. Japan Aerospace Exploration Agency. Version 3 release for GCOM-C/SGLI products (Internet). SHIKISAI Portal; 2021 (cited 2026 Mar 17). Available from: https://shikisai.jaxa.jp/ver3_update_information_en.html
15. Kurihara Y. GCOM-C/SGLI sea surface temperature (SST) ATBD. Version 3.0 (Internet). JAXA/EORC; 2021 (cited 2026 Mar 17). Available from: https://suzaku.eorc.jaxa.jp/GCOM_C/data/ATBD/ver3/V3ATBD_O1AB_SST_kurihara.pdf
16. Imaoka K, Kachi M, Fujii H, Murakami H, Hori M, Ono A, et al. Global Change Observation Mission (GCOM) for monitoring carbon, water cycles, and climate change. Proceedings of the IEEE. 2010;98(5):717-34. doi:10.1109/JPROC.2009.2036869
17. Kurihara Y, Murakami H, Sakaida F. Sea surface temperature retrieval from the Second-generation Global Imager (SGLI) onboard GCOM-C. Remote Sensing of Environment. 2021;257:112347. doi:10.1016/j.rse.2021.112347
18. Isada T, Hirawake T, Murakami H, Suzuki K. Performance of JAXA's SGLI standard ocean color products in oceanic to coastal waters. Journal of Oceanography. 2022;78:15-30. doi:10.1007/s10872-021-00617-2
19. Japan Aerospace Exploration Agency. GCOM-C SGLI map projection & GeoTIFF conversion tool user's manual. Version 1.0 (Internet). JAXA; 2021 (cited 2026 Mar 17). Available from: https://gportal.jaxa.jp/gpr/assets/mng_upload/GCOM-C/GCOM-C_GeotiffToolManual_1.0_en.pdf
20. International Ocean Colour Coordinating Group. Phytoplankton functional types from space. Sathyendranath S, editor. IOCCG Report No. 15. Dartmouth: IOCCG; 2014. doi:10.25607/OBP-106
21. Campbell JB, Wynne RH. Introduction to remote sensing. 5th ed. New York: Guilford Press; 2011.
22. Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R. Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment. 2017;202:18-27. doi:10.1016/j.rse.2017.06.031
23. Susanto RD, Gordon AL, Zheng Q. Upwelling along the coasts of Java and Sumatra and its relation to ENSO. Geophysical Research Letters. 2001;28(8):1599-602. doi:10.1029/2000GL011844
24. Hendiarti N, Siegel H, Ohde T. Investigation of different coastal processes in Indonesian waters using SeaWiFS data. Deep Sea Research Part II: Topical Studies in Oceanography. 2004;51(1-3):85-97. doi:10.1016/j.dsr2.2003.10.003
25. Druon JN, Chassot E, Murua H, Lopez J. Skipjack tuna availability for purse seine fisheries is driven by suitable feeding habitat dynamics in the Atlantic and Indian Oceans. Frontiers in Marine Science. 2017;4:315. doi:10.3389/fmars.2017.00315
26. Behrenfeld MJ, Falkowski PG. Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnology and Oceanography. 1997;42(1):1-20. doi:10.4319/lo.1997.42.1.0001
27. Alfatinah A, Chu HJ, Tatas, Patra SR. Fishing area prediction using scene-based ensemble models. Journal of Marine Science and Engineering. 2023;11(7):1398. doi:10.3390/jmse11071398
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