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  • Selecting cost-effective areas for restoration of ecosystem services

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    AdamePUB543.pdf (449.6Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Adame, MF
    Hermoso, V
    Perhans, K
    Lovelock, CE
    Herrera-Silveira, JA
    Griffith University Author(s)
    Adame Vivanco, Fernanda
    Year published
    2015
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    Abstract
    Selection of areas for restoration should be based on cost-effectiveness analysis to attain the maximum benefit with a limited budget and overcome the traditional ad hoc allocation of funds for restoration projects. Restoration projects need to be planned on the basis of ecological knowledge and economic and social constraints. We devised a novel approach for selecting cost-effective areas for restoration on the basis of biodiversity and potential provision of 3 ecosystem services: carbon storage, water depuration, and coastal protection. We used Marxan, a spatial prioritization tool, to balance the provision of ecosystem ...
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    Selection of areas for restoration should be based on cost-effectiveness analysis to attain the maximum benefit with a limited budget and overcome the traditional ad hoc allocation of funds for restoration projects. Restoration projects need to be planned on the basis of ecological knowledge and economic and social constraints. We devised a novel approach for selecting cost-effective areas for restoration on the basis of biodiversity and potential provision of 3 ecosystem services: carbon storage, water depuration, and coastal protection. We used Marxan, a spatial prioritization tool, to balance the provision of ecosystem services against the cost of restoration. We tested this approach in a mangrove ecosystem in the Caribbean. Our approach efficiently selected restoration areas that at low cost were compatible with biodiversity targets and that maximized the provision of one or more ecosystem services. Choosing areas for restoration of mangroves on the basis carbon storage potential, largely guaranteed the restoration of biodiversity and other ecosystem services. Selección de Áreas Rentables para la Restauración de Servicios Ambientales Resumen La selección de áreas a restaurar debería estar basada en análisis de rentabilidad para obtener el máximo beneficio con un presupuesto limitado y sobrepasar la asignación tradicional ad hoc de los fondos para los proyectos de restauración. Los proyectos de restauración necesitan ser planeados con base en el conocimiento ecológico y económico y las restricciones sociales. Diseñamos una estrategia novedosa para seleccionar áreas rentables para restaurar con base en la biodiversidad y el suministro potencial de tres servicios ambientales: almacenamiento de carbono, depuración del agua y protección costera. Usamos Marxan, una herramienta de priorización espacial, para balancear el suministro de los servicios ambientales con el costo de la restauración. Probamos esta estrategia en un ecosistema de manglar en el Caribe. Nuestra estrategia seleccionó eficientemente áreas de restauración que, con un costo bajo, fueron compatibles con los objetivos de biodiversidad y maximizaron el suministro de uno o más servicios ambientales. La selección de áreas para restaurar manglares con base en el potencial de almacenamiento de carbono, garantizó en su mayoría la restauración de la biodiversidad y otros servicios ambientales.
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    Journal Title
    Conservation Biology
    Volume
    29
    Issue
    2
    DOI
    https://doi.org/10.1111/cobi.12391
    Copyright Statement
    © 2015 Society for Conservation Biology. This is the peer reviewed version of the following article: Selecting cost-effective areas for restoration of ecosystem services, Conservation Biology, Vol. 29(2), 493–502, 2015which has been published in final form at http://dx.doi.org/10.1111/cobi.12391. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html)
    Subject
    Environmental sciences
    Other environmental sciences not elsewhere classified
    Biological sciences
    Agricultural, veterinary and food sciences
    Publication URI
    http://hdl.handle.net/10072/124929
    Collection
    • Journal articles

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