MARXAN is a family of software designed to aid systematic reserve design on conservation planning. With the use of stochastic optimisation routines (Simulated Annealing) Marxan generates spatial reserve systems that achieve particular biodiversity representation goals with reasonable optimality. Over the years, Marxan has grown from its standard two zone application to consider more complex challenges like incorporating connectivity, probabilities and multiple zones. Along the way, Marxan's user community has also built plug-ins and interfaces to assist with planning projects.
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 Professor Hugh Possingham, the state of Queensland's (Australia) current Chief Scientist who holds a Federation Fellowship at the University of Queensland. It was an extension of the existing SPEXAN program.
In 2018, the vision of “Democratizing Marxan” began. Through the Biodiversity and Protected Areas Management programme (BIOPAMA), funded by the European Union, the Joint Research Centre worked closely with The Nature Conservancy to prototype a web-based Marxan platform that improves accessibility to non-experts and supports our common vision of providing accessible tools for evidence-based conservation planning. This led to a partnership with Microsoft in 2020, which aims to scale Marxan's infrastructure for global accessibility and empowering users with the tools and data they need to make smarter decisions for the planet. In late 2020 and early 2021 Microsoft's Azure Quantum team made several open source contributions to Marxan resulting in increased performance when running on multi-core machines and cloud environments. The resulting version 4 of Marxan is now available from marxansolutions.org.
MARXAN is the most widely used systematic reserve planning software in the world, [2] 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. [3] It has been used for many other marine and terrestrial reserve planning applications. [4]
Beyond protected area network design, MARXAN has been applied to hundreds of conservation planning challenges, from designing optimal poaching patrols for game reserves and identifying where to conserve essential ecosystem services, to helping with transboundary ocean planning and understanding where transnational collaborations might best be prioritized to achieve conservation goals. While it would be almost impossible to list all of MARXAN's applications, here are a few examples beyond protected area network design. For software specific examples, see the Software section.
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.
The software has also been used in terrestrial applications, such as:
Marxan is the most widely used decision-support software for conservation planning globally, and has been used to build marine and terrestrial conservation systems covering approximately 5% of the Earth's surface. Marxan supports the design of cost-efficient networks that meet conservation targets for biodiversity.
Marxan with Zones has the same functionality as Marxan but extends on the range of problems the software can solve and allows for the incorporation of multiple costs and zones into a systematic planning framework. Applications could be zoning for marine protected areas with various protection levels or landscapes that balance agriculture, biodiversity protection, and sustainable forestry zones. Marxan with Zones assigns each planning unit in a study region to a particular zone in order to meet a number of ecological, social and economic objectives at a minimum total cost. [25] Some example locations where it has been used to inform decisions includes Raja Ampat, Indonesia, [26] Tun Mustapha Park in Sabah, Malaysia, [27] Central Kalimantan, Indonesia, [18] and Indonesian Borneo. [28]
Marxan with Connectivity is an extension of the Marxan software family that allows for more sophisticated connectivity considerations in spatial planning. For example, sites may be connected through processes such as larval dispersal, animal migrations, and genetic flows which are desirable objectives in conservation plans. Marxan with Connectivity has been applied in freshwater, marine, terrestrial and land-sea systems to conserve sites that may be spatially distanced but ecologically connected. Some examples include planning for threatened loggerhead sea turtles (Caretta caretta) in the Mediterranean, [29] and accounting for river connectivity in the Guadiana River basin in the southwestern Iberian Peninsula. [30] It has been recently operationalized through ‘Marxan Connect’ - a new open source, open access Graphical User Interface (GUI) tool designed to assist conservation planners with the appropriate use of data on ecological connectivity in protected area network planning. [31]
Marxan with Probability (MarProb) is Marxan with an additional objective function term that incorporates the probability of a site being destroyed at some point in the future. This function helps plan for persistence in protected area networks (see Game et al. 2008 [32] ). Some examples where it has been used includes planning for Iberian herptile conservation while accounting for uncertainty in their predicted distributions due to climate change, [33] and accounting for the inherent uncertainty associated with coral reef habitat maps in conservation planning, in the Kubulau District fisheries management area, Fiji. [34]
Zonae Cogito is a freely available software package that help manage and visualise Marxan projects. [35] The interface streamlines and simplifies the development and evaluation of alternative planning scenarios, allows direct editing to input files, calibrates parameters, and helps users easily access important output files for evaluation.
CLUZ (Conservation Land-Use Zoning software) is a QGIS plug-in that allows users to design protected area networks and other conservation landscapes and seascapes. [36] It can be used for on-screen planning and also acts as a link for the Marxan conservation planning software. It was developed by Bob Smith and funded by the UK Government's Darwin Initiative. [37]
Helpful tools developed by Trevor Wiens from Apropos Information Systems are available for both ArcGIS and QGIS users. [38]
Systematic Conservation Prioritization in R – The prioritizr R package [39] uses integer linear programming (ILP) techniques to provide a flexible interface for building and solving conservation planning problems. It supports a broad range of objectives, constraints, and penalties that can be used to custom-tailor conservation planning problems to the specific needs of a conservation planning exercise. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. In contrast to the algorithms conventionally used to solve conservation problems, such as heuristics or simulated annealing, the exact algorithms used here are guaranteed to find optimal solutions. Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. Finally, this package has the functionality to read input data formatted for the Marxan conservation planning program, and find much cheaper solutions in a much shorter period of time than Marxan.
Biodiversity is the variety and variability of life on Earth. It can be measured on various levels. There is for example genetic variability, species diversity, ecosystem diversity and phylogenetic diversity. Diversity is not distributed evenly on Earth. It is greater in the tropics as a result of the warm climate and high primary productivity in the region near the equator. Tropical forest ecosystems cover less than one-fifth of Earth's terrestrial area and contain about 50% of the world's species. There are latitudinal gradients in species diversity for both marine and terrestrial taxa.
Protected areas or conservation areas are locations which receive protection because of their recognized natural, ecological or cultural values. Protected areas are those areas in which human presence or the exploitation of natural resources is limited.
This is an index of conservation topics. It is an alphabetical index of articles relating to conservation biology and conservation of the natural environment.
Conservation biology is the study of the conservation of nature and of Earth's biodiversity with the aim of protecting species, their habitats, and ecosystems from excessive rates of extinction and the erosion of biotic interactions. It is an interdisciplinary subject drawing on natural and social sciences, and the practice of natural resource management.
Landscape ecology is the science of studying and improving relationships between ecological processes in the environment and particular ecosystems. This is done within a variety of landscape scales, development spatial patterns, and organizational levels of research and policy. Landscape ecology can be described as the science of "landscape diversity" as the synergetic result of biodiversity and geodiversity.
Urban ecology is the scientific study of the relation of living organisms with each other and their surroundings in an urban environment. An urban environment refers to environments dominated by high-density residential and commercial buildings, paved surfaces, and other urban-related factors that create a unique landscape. The goal of urban ecology is to achieve a balance between human culture and the natural environment.
Habitat conservation is a management practice that seeks to conserve, protect and restore habitats and prevent species extinction, fragmentation or reduction in range. It is a priority of many groups that cannot be easily characterized in terms of any one ideology.
A biodiversity hotspot is a biogeographic region with significant levels of biodiversity that is threatened by human habitation. Norman Myers wrote about the concept in two articles in The Environmentalist in 1988 and 1990, after which the concept was revised following thorough analysis by Myers and others into "Hotspots: Earth's Biologically Richest and Most Endangered Terrestrial Ecoregions" and a paper published in the journal Nature, both in 2000.
A marine reserve is a type of marine protected area (MPA). An MPA is a section of the ocean where a government has placed limits on human activity. A marine reserve is a marine protected area in which removing or destroying natural or cultural resources is prohibited, marine reserves may also be "no-take MPAs,” which strictly forbid all extractive activities, such as fishing and kelp harvesting. As of 2007 less than 1% of the world's oceans had been set aside in marine reserves. Benefits include increases in the diversity, density, biomass, body size and reproductive potential of fishery and other species within their boundaries.
Adaptive management, also known as adaptive resource management or adaptive environmental assessment and management, is a structured, iterative process of robust decision making in the face of uncertainty, with an aim to reducing uncertainty over time via system monitoring. In this way, decision making simultaneously meets one or more resource management objectives and, either passively or actively, accrues information needed to improve future management. Adaptive management is a tool which should be used not only to change a system, but also to learn about the system. Because adaptive management is based on a learning process, it improves long-run management outcomes. The challenge in using the adaptive management approach lies in finding the correct balance between gaining knowledge to improve management in the future and achieving the best short-term outcome based on current knowledge. This approach has more recently been employed in implementing international development programs.
Marine protected areas (MPAs) are protected areas of the world's seas, oceans, estuaries or in the US, the Great Lakes. These marine areas can come in many forms ranging from wildlife refuges to research facilities. MPAs restrict human activity for a conservation purpose, typically to protect natural or cultural resources. Such marine resources are protected by local, state, territorial, native, regional, national, or international authorities and differ substantially among and between nations. This variation includes different limitations on development, fishing practices, fishing seasons and catch limits, moorings and bans on removing or disrupting marine life. In some situations, MPAs also provide revenue for countries, potentially equal to the income that they would have if they were to grant companies permissions to fish. The value of MPA to mobile species is unknown.
In landscape ecology, landscape connectivity is, broadly, "the degree to which the landscape facilitates or impedes movement among resource patches". Alternatively, connectivity may be a continuous property of the landscape and independent of patches and paths. Connectivity includes both structural connectivity and functional connectivity. Functional connectivity includes actual connectivity and potential connectivity in which movement paths are estimated using the life-history data.
Revegetation is the process of replanting and rebuilding the soil of disturbed land. This may be a natural process produced by plant colonization and succession, manmade rewilding projects, accelerated process designed to repair damage to a landscape due to wildfire, mining, flood, or other cause. Originally the process was simply one of applying seed and fertilizer to disturbed lands, usually grasses or clover. The fibrous root network of grasses is useful for short-term erosion control, particularly on sloping ground. Establishing long-term plant communities requires forethought as to appropriate species for the climate, size of stock required, and impact of replanted vegetation on local fauna. The motivations behind revegetation are diverse, answering needs that are both technical and aesthetic, but it is usually erosion prevention that is the primary reason. Revegetation helps prevent soil erosion, enhances the ability of the soil to absorb more water in significant rain events, and in conjunction reduces turbidity dramatically in adjoining bodies of water. Revegetation also aids protection of engineered grades and other earthworks.
Gap analysis is a tool used in wildlife conservation to identify gaps in conservation lands or other wildlands where significant plant and animal species and their habitat or important ecological features occur.
Umbrella species are species selected for making conservation-related decisions, typically because protecting these species indirectly protects the many other species that make up the ecological community of its habitat. Species conservation can be subjective because it is hard to determine the status of many species. The umbrella species is often either a flagship species whose conservation benefits other species or a keystone species which may be targeted for conservation due to its impact on an ecosystem. Umbrella species can be used to help select the locations of potential reserves, find the minimum size of these conservation areas or reserves, and to determine the composition, structure, and processes of ecosystems.
A wildlife corridor, habitat corridor, or green corridor is an area of habitat connecting wildlife populations separated by human activities or structures, allowing the movement of individuals between populations, that may help prevent negative effects of inbreeding and reduced genetic diversity that can occur within isolated populations. Corridors also help facilitate the re-establishment of populations that have been reduced or eliminated due to random events and may moderate some of the worst effects of habitat fragmentation, through urbanization that splits up habitat areas, causing animals to lose both their natural habitat and the ability to move between regions to access resources. Habitat fragmentation due to human development is an ever-increasing threat to biodiversity, and habitat corridors serve to manage its effects.
Marine spatial planning (MSP) is a process that brings together multiple users of the ocean – including energy, industry, government, conservation and recreation – to make informed and coordinated decisions about how to use marine resources sustainably. MSP generally uses maps to create a more comprehensive picture of a marine area – identifying where and how an ocean area is being used and what natural resources and habitat exist. It is similar to land-use planning, but for marine waters.
Defaunation is the global, local, or functional extinction of animal populations or species from ecological communities. The growth of the human population, combined with advances in harvesting technologies, has led to more intense and efficient exploitation of the environment. This has resulted in the depletion of large vertebrates from ecological communities, creating what has been termed "empty forest". Defaunation differs from extinction; it includes both the disappearance of species and declines in abundance. Defaunation effects were first implied at the Symposium of Plant-Animal Interactions at the University of Campinas, Brazil in 1988 in the context of Neotropical forests. Since then, the term has gained broader usage in conservation biology as a global phenomenon.
The Landscape Conservation Cooperatives (LCC), established in 2009 in the United States, are a network of 22 regional conservation bodies covering the entire United States and adjacent areas. They are autonomous cooperatives sponsored by the U.S. Department of the Interior and aim to develop coordinated conservation strategies applicable to large areas of land. Partnerships are formed with government and non-government conservation organizations to achieve common goals of conservation. While fairly new as government supported entities, the LCCs are similar to initiatives that have been started or advocated in other countries.
A marine coastal ecosystem is a marine ecosystem which occurs where the land meets the ocean. Marine coastal ecosystems include many very different types of marine habitats, each with their own characteristics and species composition. They are characterized by high levels of biodiversity and productivity.