The Effect of Digitalization on Marine Ecosystem Alignment and the Role of Technology in Natural Resource Management in Sulawesi
DOI:
https://doi.org/10.58812/wsnt.v2i02.1022Keywords:
Digitalization, Marine Ecosystem Management, Remote Sensing, Geographic Information Systems (GIS), SulawesiAbstract
This study aims to review the impact of digitalization on marine ecosystem management with a specific focus on Sulawesi, Indonesia. It explores how advanced technologies such as remote sensing, Geographic Information Systems (GIS), machine learning, and blockchain are revolutionizing the monitoring, predictive capabilities, and sustainability practices in marine resource management. The review highlights both the transformative potential of these technologies and the associated challenges including infrastructural limitations, skill gaps, and the lagging adaptation of policy frameworks. The integration of traditional ecological knowledge (TEK) with modern digital tools is emphasized as a critical approach for enhancing the effectiveness and acceptability of technological interventions in marine conservation efforts. The findings suggest that while digital tools offer substantial benefits for ecosystem management, their full potential can only be realized through strategic solutions to overcome existing barriers, fostering an inclusive approach that combines innovation with traditional practices. This review contributes to the understanding of digitalization's role in marine ecosystem sustainability and provides a foundation for future research directions.
References
P. A. Zapata-Ramírez et al., “Development of a Google Earth Engine-Based Application for the Management of Shallow Coral Reefs Using Drone Imagery,” Remote Sens., vol. 15, no. 14, p. 3504, 2023.
J. Kollert, M. Visbeck, and U. Brönner, “Digital Twins of the Ocean-Opportunities to Inform Sustainable Ocean Governance,” in EGU General Assembly Conference Abstracts, 2023, p. EGU-15688.
Z. Lv, H. Lv, and M. Fridenfalk, “Digital twins in the marine industry,” Electronics, vol. 12, no. 9, p. 2025, 2023.
V. Sbragaglia, L. Espasandín, I. Jarić, R. Vardi, F. Ramírez, and M. Coll, “Tracking ongoing transboundary marine distributional range shifts in the digital era,” Mar. Ecol. Prog. Ser., 2023.
Y. Guo, F. Li, and Q. Du, “Research on key technologies of spatio-temporal analysis and prediction of marine ecological environment based on association rule mining analysis,” J. Coast. Res., vol. 115, no. SI, pp. 302–307, 2020.
M. M. Nezhad, M. Neshat, G. Sylaios, and D. A. Garcia, “Marine energy digitalization digital twin’s approaches,” Renew. Sustain. Energy Rev., vol. 191, p. 114065, 2024.
T. Tom, “The Potential of Information and Communication Technology to Promote Sustainable Natural Resources Management and Its Unintended Consequences,” Tech. Soc. Sci. J., vol. 44, p. 673, 2023.
S. Tarno, “Fish cultivation counseling through digital fisheries applications to coastal communities in Indonesia,” Int. J. Humanit. Lit. arts, vol. 6, pp. 11–19, Jan. 2023, doi: 10.21744/ijhla.v6n1.2063.
S. J. Cooke et al., “Technoscience and the modernization of freshwater fisheries assessment and management,” Environ. Technol. Innov., vol. 28, p. 102865, 2022.
S. Tarno, “Investigation of Fisheries Resources Through Digital Fisheries Applications Towards a Culture Community in the Revolution 5.0,” 2023.
D. Gavalas, T. Syriopoulos, and E. Roumpis, “Digital adoption and efficiency in the maritime industry,” J. Shipp. Trade, vol. 7, no. 1, p. 11, 2022.
M. Jameaba, Digitalization, Emerging Technologies, and Financial Stability: Challenges and Opportunities for the Indonesian Banking Industry and Beyond. 2022. doi: 10.32388/CSTTYQ.2.
M. Munaiseche, T. Saroinsong, H. Rumambi, M. Kondoj, J. Rangkang, and A. Kumaat, “The Concept of Digital Entrepreneurial Ecosystem for SMEs in North Sulawesi, Indonesia,” Am. J. Ind. Bus. Manag., vol. 12, pp. 405–419, Jan. 2022, doi: 10.4236/ajibm.2022.123023.
M. Simões-Marques, P. Água, A. Frias, and A. Correia, “Metaverse and Digital Twins: Contributions, Opportunities and Challenges to a Sustainable Use of the Ocean,” Hum. Factors Syst. Interact., vol. 84, no. 84, 2023.
E. Yushchik, “IMPACT OF DIGITALIZATION OF THE ECONOMY ON THE TRANSFORMATION OF PERSONNEL TRAINING IN THE FISHING INDUSTRY [J],” Fisheries, vol. 3, pp. 35–40, 2021.
G. J. Chang, “Biodiversity estimation by environment drivers using machine/deep learning for ecological management,” Ecol. Inform., vol. 78, p. 102319, 2023.
J. D. Olden, J. J. Lawler, and N. L. Poff, “Machine learning methods without tears: a primer for ecologists,” Q. Rev. Biol., vol. 83, no. 2, pp. 171–193, 2008.
J. Trivedi, K. Patel, B. K. K. Chan, M. Doshi, and V. Padate, “Diversity of Indian barnacles in marine provinces and ecoregions of the Indian Ocean,” Front. Mar. Sci., vol. 8, p. 657651, 2021.
H. M. Nguyen, P. J. Ralph, L. Marín‐Guirao, M. Pernice, and G. Procaccini, “Seagrasses in an era of ocean warming: a review,” Biol. Rev., vol. 96, no. 5, pp. 2009–2030, 2021.
D. A. T. Harper, B. Cascales-Miñana, and T. Servais, “Early Palaeozoic diversifications and extinctions in the marine biosphere: a continuum of change,” Geol. Mag., vol. 157, no. 1, pp. 5–21, 2020.
P. C. DOS SANTOS, “Embedding sacred ecology in sustainability solutions: The role of post-secondary environmental science programs,” 2020.
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