Bandingkan metode

	Perencanaan MPA Marxan	Pemantauan Alga Berbahaya
Bidang	Oseanografi	Oseanografi
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	2000	1995
Pencetus	Ian Ball	Oceanographic Community
Tipe	optimization-algorithm	integrated-system
Sumber perintis	Possingham, H. P., Ball, I., & Andelman, S. (2000). Mathematical methods for identifying representative reserve networks. In S. Ferson & M. Burgman (Eds.), Quantitative Methods for Conservation Biology (pp. 291-306). Springer-Verlag.	Davidson, K., Miller, P., Wilding, T. A., & Shutler, J. (2016). Harmful algal bloom risk assessment in the context of climate change. Harmful Algae, 53, 34-41.
Alias	Marxan, Marxan with Zones	HAB Monitoring, Red Tide Detection
Terkait	3	3
Ringkasan	Marxan is a decision-support system that uses optimization algorithms to design cost-effective marine protected area (MPA) networks that achieve conservation targets while minimizing socioeconomic costs. Developed by Ian Ball and Hugh Possingham in 2000, Marxan has become the global standard tool for systematic conservation planning in marine environments. The software enables planners to explore trade-offs between conservation effectiveness and economic feasibility.	Harmful algal bloom (HAB) monitoring is an integrated approach combining satellite remote sensing, in situ observations, and predictive modeling to detect, track, and forecast toxic algal outbreaks in marine and freshwater systems. HAB monitoring has become essential for public health protection, as certain algal species produce potent toxins that accumulate in shellfish and pose severe health risks to consumers and marine life.