IJA_2026v16n1

International Journal of Aquaculture, 2026, Vol.16, No.1, 46-60 http://www.aquapublisher.com/index.php/ija 60 Liu J.M., Zhao H.Y., Emmanuel C., Fan T.H., Deng W., and Zhang Y.F., 2025, Interdisciplinary strategies for the management of harmful algal blooms: Prospects and comprehensive review, Discover Environment, 3(1): 93. https://doi.org/10.1007/s44274-025-00304-9 Nayak A.R., Kolluru S., Kumar A., and Bhadury P., 2025, Revisiting harmful algal blooms in India through a global lens: An integrated framework for enhanced research and monitoring, iScience, 28(2): 111916. https://doi.org/10.1016/j.isci.2025.111916 Pacheco J., López-Ballesteros A., Mesman J., Aznarez C., Pierson D., Trolle D., Nielsen A., and Senent-Aparicio J., 2025, Coupling SWAT+ and GOTM-WET models to assess agricultural management practices for mitigating harmful algal blooms in Mar Menor, Spain, Journal of Environmental Management, 380: 125033. https://doi.org/10.1016/j.jenvman.2025.125033 Pan S., Zhang X., Liu X., Liu H., Li A., Liu X., Chen S., and Zhang H., 2025, Bifunctional fungi trade off denitrification and algicidal performance to inhibit algal growth and control algal bloom: Denitrification-algicidal interactions, organic matter dynamics, and raw water treatment, Water Research, 288(Pt A): 124590. https://doi.org/10.1016/j.watres.2025.124590 Park J., Patel K., and Lee W.H., 2024, Recent advances in algal bloom detection and prediction technology using machine learning, Science of the Total Environment, 938: 173546. https://doi.org/10.1016/j.scitotenv.2024.173546 Qiu Y., Huang J., Luo J., Xiao Q., Shen M., Xiao P., and Duan H., 2025, Monitoring, simulation and early warning of cyanobacterial harmful algal blooms: An upgraded framework for eutrophic lakes, Environmental Research, 264: 120296. https://doi.org/10.1016/j.envres.2024.120296 Rathore W.U.A., Ni J., Ke C., and Xie Y., 2025, Bloomsense: integrating automated buoy systems and AI to monitor and predict harmful algal blooms, Water, 17(11): 1691. https://doi.org/10.3390/w17111691 Saleem F., Jiang J., Atrache R., Paschos A., Edge T., and Schellhorn H., 2023, Cyanobacterial algal bloom monitoring: Molecular methods and technologies for freshwater ecosystems, Microorganisms, 11(4): 851. https://doi.org/10.3390/microorganisms11040851 Shi X., Zou Y., Zhang Y., Ding G., Xiao Y., Lin S., and Chen J., 2024, Salinity decline promotes growth and harmful blooms of a toxic alga by diverting carbon flow, Global Change Biology, 30(6): e17348. https://doi.org/10.1111/gcb.17348 Szewczyk T., Aleynik D., and Davidson K., 2025, Ensemble models improve near-term forecasts of harmful algal bloom and biotoxin risk, Harmful Algae, 142: 102781. https://doi.org/10.1016/j.hal.2024.102781 Wang S., and Qin B., 2025, Application of optical remote sensing in harmful algal blooms in lakes: a review, Remote Sensing, 17(8): 1381. https://doi.org/10.3390/rs17081381 Wang S., Qin B., Wen B., and Huang C., 2025a, Climate change influences on algal bloom intensity in lakes in the Yangtze River Basin, China from 1985 to 2022, Journal of Hazardous Materials, 495: 139027. https://doi.org/10.1016/j.jhazmat.2025.139027 Wang W., Wang G., Li J., Chen J., Gao Z., Fang L., Ren S., and Wang Q., 2025b, Remote sensing identification and model-based prediction of harmful algal blooms in inland waters: current insights and future perspectives, Water Research X, 28: 100369. https://doi.org/10.1016/j.wroa.2025.100369 Wang Z., Xiong J., Zhou J., and Han Z., 2025c, Algae removal and degradation of microcystins by UV-C system: A review, Water Environment Research, 97: e70049. https://doi.org/10.1002/wer.70049 Zahir M., Su Y., Shahzad M., Ayub G., Rehman S., and Ijaz J., 2024, A review on monitoring, forecasting, and early warning of harmful algal bloom, Aquaculture, 593: 741351. https://doi.org/10.1016/j.aquaculture.2024.741351

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