Learn Search Topics Filter CategoriesClear AllFundamentalsMarxan 101Advanced ConceptsMarxan with ConnectivityMarxan with Zones What is conservation planning? And why is it important? The CARE Principles. Connectivity, Adequacy, Representativeness, Efficiency Problem formulation: What are you trying to achieve? The most important question in conservation planning A framework for systematic conservation planning. In this section we summarise the framework presented in Pressey and Bottrill (2009). What is Marxan? What is Marxan? Planning units. Planning units are the building blocks of any conservation or zoning plan. Targets and target setting. Targets represent how much you want to conserve of a particular feature. Costs. Costs. In conservation planning, cost data may reflect any variety of socioeconomic factors, which if minimized, might help the conservation plan be implemented more effectively and reduce conflicts with other uses. Gap Analysis. Gap Analysis. Stratification. Stratification. Sometimes we want to stratify (break-up, arrange, or classify) features by spatial units or even other features, for example, ecosystems or local administration units. Thresholding. Thresholding. Refers to what percentage of a planning unit must be covered by a protected area (in this case), to be considered “protected”. Locking planning units in or out. Locking planning units in or out. Scheduling. Scheduling. It is rarely possible that priority areas for conservation action identified through systematic conservation planning can realistically be implemented in a single time step. Scenario Development. Scenario planning consists of using a few contrasting scenarios to explore the uncertainty surrounding the future consequences of a decision. Understanding trade-offs and trade-off curves. Understanding trade-offs and trade-off curves. Using condition data. Using condition data. Understanding connectivity data. Understanding connectivity data. What is Marxan with Connectivity? What is Marxan with Connectivity? Using connectivity data in Marxan. Using connectivity data in Marxan. What is Marxan with Zones? What is Marxan with Zones?
What is conservation planning? And why is it important? The CARE Principles. Connectivity, Adequacy, Representativeness, Efficiency Problem formulation: What are you trying to achieve? The most important question in conservation planning A framework for systematic conservation planning. In this section we summarise the framework presented in Pressey and Bottrill (2009). What is Marxan? What is Marxan? Planning units. Planning units are the building blocks of any conservation or zoning plan. Targets and target setting. Targets represent how much you want to conserve of a particular feature. Costs. Costs. In conservation planning, cost data may reflect any variety of socioeconomic factors, which if minimized, might help the conservation plan be implemented more effectively and reduce conflicts with other uses. Gap Analysis. Gap Analysis. Stratification. Stratification. Sometimes we want to stratify (break-up, arrange, or classify) features by spatial units or even other features, for example, ecosystems or local administration units. Thresholding. Thresholding. Refers to what percentage of a planning unit must be covered by a protected area (in this case), to be considered “protected”. Locking planning units in or out. Locking planning units in or out. Scheduling. Scheduling. It is rarely possible that priority areas for conservation action identified through systematic conservation planning can realistically be implemented in a single time step. Scenario Development. Scenario planning consists of using a few contrasting scenarios to explore the uncertainty surrounding the future consequences of a decision. Understanding trade-offs and trade-off curves. Understanding trade-offs and trade-off curves. Using condition data. Using condition data. Understanding connectivity data. Understanding connectivity data. What is Marxan with Connectivity? What is Marxan with Connectivity? Using connectivity data in Marxan. Using connectivity data in Marxan. What is Marxan with Zones? What is Marxan with Zones?
