International Journal of Marine Science, 2025, Vol.15, No.1, 28-34 http://www.aquapublisher.com/index.php/ijms 33 cooperation can not only optimize resource allocation and avoid repetitive work, but also improve management efficiency and protect fish resources in Hainan Island and the South China Sea (Xiong et al., 2018; Xi et al., 2022; Wang et al., 2024). 7 Concluding Remarks Hainan Island and the South China Sea region, as important hotspots for fish diversity in China, hold a special position in the development of species identification technology. This area is rich in Marine and freshwater fish resources. So far, hundreds of fish species distributed in different habitats have been recorded. However, affected by the complexity of the ecosystem, there are still obvious deficiencies in the existing species cognition. The ecological uniqueness of Hainan Island and the South China Sea region provides a good condition for the innovation of identification technology, but also brings more challenges. Interdisciplinary research cooperation has led to significant progress in fish identification technology. The combination of traditional morphological classification methods and molecular labeling techniques (such as DNA barcoding and environmental DNA) has enhanced the ability to accurately identify species in complex environments. Establishment of Molecular manipulation taxonomic units (MOTUs) and regional gene databases. It can also improve the ability of species identification. The multi-technology integration strategy aims to develop more intelligent technologies to monitor the high diversity and dynamic changes of fish communities more effectively. The foundation for achieving the sustainable development of fishery resources lies in the close cooperation between research and practical application. Build a standardized biological census network and an efficient data exchange platform to promote rapid detection technologies, and combine these technologies with fishery protection, development, management and policy implementation. By establishing an open data sharing system and through the cooperation of multiple parties such as research institutions and management institutions, research results can be transformed into executable fishery protection strategies. With the continuous development of technology, Hainan Island and the South China Sea region have become internationally leading demonstration areas for fish monitoring technology, providing a direction for global biodiversity conservation. Acknowledgments We extend our sincere thanks to two anonymous peer reviewers for their feedback on the initial draft of this study, whose conscientious evaluations and constructive suggestions have contributed to the improvement of our manuscript. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. Reference Banan A., Nasiri A., and Taheri-Garavand A., 2020, Deep learning-based appearance features extraction for automated carp species identification, Aquacultural Engineering, 89: 102053. https://doi.org/10.1016/j.aquaeng.2020.102053 Ferreira A.O., Azevedo O.M., Barroso C., Duarte S., Egas C., Fontes J., Ré P., Santos A., and Costa F., 2024, Multi-marker DNA metabarcoding for precise species identification in ichthyoplankton samples, Scientific Reports, 14(1): 19772. https://doi.org/10.1038/s41598-024-69963-7 Hubert N., Hanner R., Holm E., Mandrak N.E., Taylor E., Burridge M., Watkinson D., Dumont P., Curry A., Bentzen P., Zhang J., April J., and Bernatchez L., 2008, Identifying Canadian freshwater fishes through DNA barcodes, PLoS One, 3(6): e2490. https://doi.org/10.1371/journal.pone.0002490 Kyle C., Wilson C., and Wilson C., 2007, Mitochondrial DNA identification of game and harvested freshwater fish species, Forensic Science International, 166(1): 68-76. https://doi.org/10.1016/J.FORSCIINT.2006.03.025 Li M.M., 2024, Molecular mechanisms underlying the diversification of aquatic life forms, International Journal of Aquaculture, 14(4): 184-194. https://doi.org/10.5376/ija.2024.14.0019 Luo Z., Yang C., Wang L., Liu Y., Shan B., Liu M., Chen C., Guo T., and Sun D., 2023, Relationships between fish community structure and environmental factors in the nearshore waters of Hainan Island, South China, Diversity, 15(8): 901. https://doi.org/10.3390/d15080901
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