International Journal of Aquaculture, 2024, Vol.14, No.2, 101-111 http://www.aquapublisher.com/index.php/ija 110 IoT and smart monitoring technologies to improve data accuracy and reduce the need for manual sampling. Additionally, expanding the application of the One Health approach and statistical analysis can provide deeper insights into the complex interactions between human activities and ecosystem health, informing more sustainable management practices. Research should also explore the potential of eDNA in monitoring a broader range of species and environmental conditions, leveraging advances in sequencing technologies and computational tools. Policymakers should prioritize the implementation of integrated monitoring frameworks that utilize multiple indicator species to ensure comprehensive and reliable assessments of ecosystem health. Finally, there is a need for greater collaboration between scientists, policymakers, and stakeholders to develop adaptive management strategies that can effectively address the dynamic challenges facing aquatic ecosystems in the context of climate change and increasing anthropogenic pressures. Acknowledgments The author extends our sincere thanks to two anonymous peer reviewers for their invaluable feedback on the manuscript of this paper. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. Reference Aguzzi J., Chatzievangelou D., Marini S., Fanelli E., Danovaro R., Flögel S., Lebris N., Juanes F., Leo F., Río J., Thomsen L., Costa C., Riccobene G., Tamburini C., Lefèvre D., Gojak C., Poulain P., Favali P., Griffa A., Purser A., Cline D., Edgington D., Navarro J., Stefanni S.D., Hondt S., Priede I., Rountree R., and Company J., 2019, New high-tech flexible networks for the monitoring of deep-sea ecosystems, Environmental Science and Technology, 53(12): 6616-6631. https://doi.org/10.1021/acs.est.9b00409. Bownik A., and Wlodkowic D., 2021, Advances in real-time monitoring of water quality using automated analysis of animal behaviour, The Science of the Total Environment, 789: 147796. https://doi.org/10.1016/j.scitotenv.2021.147796. Bresciani M., Giardino C., Fabbretto A., Pellegrino A., Mangano S., Free G., and Pinardi M., 2022, Application of new hyperspectral sensors in the remote sensing of aquatic ecosystem health: exploiting prisma and desis for four italian lakes, Resources, 11(2): 8. https://doi.org/10.3390/resources11020008. Cherry J., and Pec G., 2022, Advances, applications, and prospects in aquatic botany, Applications in Plant Sciences, 10: 4. https://doi.org/10.1002/aps3.11488. Dierssen H., Ackleson S., Joyce K., Hestir E., Castagna A., Lavender S., and McManus M., 2021, Living up to the hype of hyperspectral aquatic remote sensing: science, Resources and Outlook, 9: 28. https://doi.org/10.3389/fenvs.2021.649528. Forio M., and Goethals P., 2020, An integrated approach of multi-community monitoring and assessment of aquatic ecosystems to support sustainable development, Sustainability, 10: 3. https://doi.org/10.3390/su12145603. Glaviano F., Esposito R., Cosmo A., Esposito F., Gerevini L., Ria A., Molinara M., Bruschi P., Costantini M., and Zupo V., 2022, Management and sustainable exploitation of marine environments through smart monitoring and automation, Journal of Marine Science and Engineering, 3: 97. https://doi.org/10.3390/jmse10020297. Heino J., Alahuhta J., Bini L., Cai Y., Heiskanen A., Hellsten S., Kortelainen P., Kotamäki N., Tolonen K., Vihervaara P., Vilmi A., and Angeler D., 2020, Lakes in the era of global change: moving beyond single‐lake thinking in maintaining biodiversity and ecosystem services, Biological Reviews, 96: 47. https://doi.org/10.1111/brv.12647. Izah S., Richard G., Stanley H., Sawyer W., Ogwu M., and Uwaeme O., 2023, Integrating the one health approach and statistical analysis for sustainable aquatic ecosystem management and trace metal contamination mitigation, ES Food and Agroforestry, 14(2): 1012. https://doi.org/10.30919/esfaf1012. Jankowski K., Mejia F., Blaszczak J., and Holtgrieve G., 2021, Aquatic ecosystem metabolism as a tool in environmental management, Wiley Interdisciplinary Reviews: Water, 8(4): e1521. https://doi.org/10.1002/wat2.1521. Langhans S., Jähnig S., Lago M., Schmidt‐Kloiber A., and Hein T., 2019, The potential of ecosystem-based management to integrate biodiversity conservation and ecosystem service provision in aquatic ecosystems, The Science of the Total Environment, 672: 1017-1020. https://doi.org/10.1016/j.scitotenv.2019.04.025.
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