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    Green Infrastructure Design Based on Spatial Conservation Prioritization and Modeling of Biodiversity Features and Ecosystem Services

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    59
    Author
    Snall, T; Lehtomaki, J; Arponen, A; Elith, J; Moilanen, A
    Date
    2016-02-01
    Source Title
    Environmental Management (New York): an international journal for decision-makers, scientists and environmental auditors
    Publisher
    SPRINGER
    University of Melbourne Author/s
    Elith, Rosemary
    Affiliation
    School of BioSciences
    Metadata
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    Document Type
    Journal Article
    Citations
    Snall, T., Lehtomaki, J., Arponen, A., Elith, J. & Moilanen, A. (2016). Green Infrastructure Design Based on Spatial Conservation Prioritization and Modeling of Biodiversity Features and Ecosystem Services. ENVIRONMENTAL MANAGEMENT, 57 (2), pp.251-256. https://doi.org/10.1007/s00267-015-0613-y.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/260139
    DOI
    10.1007/s00267-015-0613-y
    Abstract
    There is high-level political support for the use of green infrastructure (GI) across Europe, to maintain viable populations and to provide ecosystem services (ES). Even though GI is inherently a spatial concept, the modern tools for spatial planning have not been recognized, such as in the recent European Environment Agency (EEA) report. We outline a toolbox of methods useful for GI design that explicitly accounts for biodiversity and ES. Data on species occurrence, habitats, and environmental variables are increasingly available via open-access internet platforms. Such data can be synthesized by statistical species distribution modeling, producing maps of biodiversity features. These, together with maps of ES, can form the basis for GI design. We argue that spatial conservation prioritization (SCP) methods are effective tools for GI design, as the overall SCP goal is cost-effective allocation of conservation efforts. Corridors are currently promoted by the EEA as the means for implementing GI design, but they typically target the needs of only a subset of the regional species pool. SCP methods would help to ensure that GI provides a balanced solution for the requirements of many biodiversity features (e.g., species, habitat types) and ES simultaneously in a cost-effective manner. Such tools are necessary to make GI into an operational concept for combating biodiversity loss and promoting ES.

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