FSC Research Portal

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The FSC Research Portal is an online catalogue that aims to facilitate the search for studies relevant to FSC operations and provide syntheses of the most relevant evidence for decision making by FSC stakeholders. Publications included in the portal to date are of two types: FSC Effect-Related Studies, empirical studies that report on the results and/or impacts of FSC certification; and FSC Relevant Studies, publications that contain information relevant to the development of FSC normative documents. These publications range from scientific articles to grey literature, reports, working papers and books.

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Users can navigate* the FSC Research Portal in three different ways. First, by clicking on one of the buttons below to filter publications by evidence category. Second, by typing a keyword into the search bar. Or third, by using one or more of the metadata** filters located on the left side of the interface.

Evidence categories: FSC Effect-Related Studies FSC Relevant Studies

(*) If you encounter any technical problems, wish to provide feedback on the metadata of any of the publications, and/or recommend the inclusion of a new publication, please write to open@fsc.org.

(**) For more details on the metadata architecture, see the research protocol

Community/Collection Search Results

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    Author(s): Sun, M.
    Publication Year: 2012
    Source:
    Publication Type: Thesis
    Code:
    Access Rights: Public, Open access
    Certification Body:
    Version Number:
    Name of the Company:
    Sponsors:
    License Code:
    Relevance for FSC Standard Developers:
    Sustainability dimension(s): Economic
    Topics: Demand
    Subtopics: (not yet curated)
    Subject Keywords: Forests Biodiversity Certification
    Regions: (not yet curated)
    Countries: (not yet curated)
    Forest Zones: (not yet curated)
    Forest Type: (not yet curated)
    Tenure Ownership: (not yet curated)
    Tenure Management: (not yet curated)
    Evidence Category: FSC effect-related studies
    Evidence Type: Modeling study
    Evidence Subtype: Future scenario or potential effects
    Data Type: Company data, Government Data