Compara mètodes

	Planificació de les AMP Marxan	Monitoratge de Floracions Algals Nocives
Camp	Oceanografia	Oceanografia
Família	Process / pipeline	Process / pipeline
Any d'origen	2000	1995
Autor original	Ian Ball	Oceanographic Community
Tipus	optimization-algorithm	integrated-system
Font seminal	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.
Àlies	Marxan, Marxan with Zones	HAB Monitoring, Red Tide Detection
Relacionats	3	3
Resum	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.