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Prioritizing actions: spatial action maps for conservation

Spatial prioritization is a critical step in conservation planning, a process designed to ensure that limited resources are applied in ways that deliver the highest possible returns for biodiversity and human wellbeing. In practice, many spatial prioritizations fall short of their potential by focus...

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Detalles Bibliográficos
Autores principales: Tallis, Heather, Fargione, Joe, Game, Edward, McDonald, Rob, Baumgarten, Leandro, Bhagabati, Nirmal, Cortez, Rane, Griscom, Bronson, Higgins, Jonathan, Kennedy, Christina M., Kiesecker, Joe, Kroeger, Timm, Leberer, Trina, McGowan, Jennifer, Mandle, Lisa, Masuda, Yuta J., Morrison, Scott A., Palmer, Sally, Shirer, Rebecca, Shyamsundar, Priya, Wolff, Nicholas H., Possingham, Hugh P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290997/
https://www.ncbi.nlm.nih.gov/pubmed/34176148
http://dx.doi.org/10.1111/nyas.14651
Descripción
Sumario:Spatial prioritization is a critical step in conservation planning, a process designed to ensure that limited resources are applied in ways that deliver the highest possible returns for biodiversity and human wellbeing. In practice, many spatial prioritizations fall short of their potential by focusing on places rather than actions, and by using data of snapshots of assets or threats rather than estimated impacts. We introduce spatial action mapping as an approach that overcomes these shortfalls. This approach produces a spatially explicit view of where and how much a given conservation action is likely to contribute to achieving stated conservation goals. Through seven case examples, we demonstrate simple to complex versions of how this method can be applied across local to global scales to inform decisions about a wide range of conservation actions and benefits. Spatial action mapping can support major improvements in efficient use of conservation resources and will reach its full potential as the quality of environmental, social, and economic datasets converge and conservation impact evaluations improve.