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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Prioritizing actions: spatial action maps for conservation.

Heather Tallis1,2, Joe Fargione3, Edward Game4

  • 1Institute on the Environment, University of Minnesota, Minneapolis, Minnesota.

Annals of the New York Academy of Sciences
|June 27, 2021
PubMed
Summary
This summary is machine-generated.

Spatial action mapping improves conservation planning by focusing on the impact of actions, not just places. This approach optimizes resource allocation for biodiversity and human wellbeing across various scales.

Keywords:
adaptive managementbiodiversityconservation prioritiesdecision support toolsecosystem servicesoptimizationspatial planning

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Area of Science:

  • Conservation Science
  • Spatial Planning
  • Biodiversity Management

Background:

  • Effective conservation planning requires strategic resource allocation for maximum biodiversity and human wellbeing benefits.
  • Current spatial prioritization methods often focus on locations rather than specific conservation actions and their estimated impacts.

Purpose of the Study:

  • Introduce spatial action mapping as an improved approach to conservation planning.
  • Demonstrate the application and benefits of spatial action mapping across diverse scales and conservation actions.

Main Methods:

  • Developed spatial action mapping to provide spatially explicit estimates of conservation action contributions to goals.
  • Applied the method through seven case studies ranging from simple to complex scenarios.
  • Integrated environmental, social, and economic data for comprehensive analysis.

Main Results:

  • Spatial action mapping offers a clear view of where and how conservation actions contribute to stated goals.
  • The approach was successfully applied across local to global scales.
  • Case examples illustrated its utility for diverse conservation actions and benefits.

Conclusions:

  • Spatial action mapping enhances the efficient use of conservation resources.
  • Further improvements are expected with advancements in data quality and conservation impact evaluations.