Marxan

MARXAN is software designed to aid systematic reserve design on conservation planning. With the use of stochastic optimisation routines (Simulated Annealing) it generates spatial reserve systems that achieve particular biodiversity representation goals with reasonable optimality. MARXAN is software designed to aid systematic reserve design on conservation planning. With the use of stochastic optimisation routines (Simulated Annealing) it generates spatial reserve systems that achieve particular biodiversity representation goals with reasonable optimality. Computationally, MARXAN provides solutions to a conservation version of the 0-1 knapsack problem, where the objects of interest are potential reserve sites with given biological attributes. The simulated annealing algorithm attempts to minimise the total cost of the reserve system, while achieving a set of conservation goals (typically that a certain percentage of each geographical/biological feature is represented by the reserve system). MARXAN is a portmanteau acronym, fusing MARine, and SPEXAN, itself an acronym for SPatially EXplicit ANnealing. It was a product of Ian R. Ball's PhD thesis, while he was a student at the University of Adelaide in 2000, and was supervised and funded by Hugh Possingham, who currently holds a Federation Fellowship at the University of Queensland. It was an extension of the existing SPEXAN program. MARXAN is the most widely used systematic reserve planning software in the world, and has been used to create the marine reserve network on the Great Barrier Reef, in Queensland, Australia, the largest marine protected area in the world. It has been used for many other marine reserve planning applications, including: MARXAN has been used extensively by The Nature Conservancy, and is a major part of the systematic planning tools being used in the Global Marine Initiative. The World Wildlife Fund used MARXAN to define a Global set of Marine Protected Areas, the Roadmap to Recovery, which they used to petition the UN about the creation of open ocean marine reserve networks.