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

Now showing 1 - 3 of 3
  • Thumbnail Image
    Author(s): Rafael, G.C. Fonseca, A. La�rcio Ant�nio Gon�alves, J.
    Publication Year: 2018
    Source: Forest Policy and Economics
    Publication Type: Journal Article
    Code:
    Access Rights: Public, Limited access
    Certification Body:
    Version Number:
    Name of the Company:
    Sponsors:
    License Code:
    Relevance for FSC Standard Developers:
    Sustainability dimension(s): Environmental Social
    Topics: (not yet curated)
    Subtopics: (not yet curated)
    Subject Keywords: Forests Certification
    Regions: South America
    Countries: Brazil
    Forest Zones: Tropical
    Forest Type: Plantation
    Tenure Ownership: (not yet curated)
    Tenure Management: (not yet curated)
    Evidence Category: FSC effect-related studies
    Evidence Type: (not yet curated)
    Evidence Subtype: (not yet curated)
    Data Type: CAR analysis
  • Thumbnail Image
    Author(s): Tricallotis, M. Gunningham, N. Kanowski, P.
    Publication Year: 2018
    Source: Forest Policy and Economics (92, 82-91)
    Publication Type: Journal Article
    Code:
    Access Rights: Public, Limited access
    Certification Body:
    Version Number:
    Name of the Company:
    Sponsors:
    License Code:
    Relevance for FSC Standard Developers:
    Sustainability dimension(s): Economic Environmental Social
    Topics: Market Compositional diversity Forest degradation
    + 1
    Subtopics: Representation Occupational health Employment conditions
    Subject Keywords: Forests Economic Impacts Certification
    + 3
    Regions: South America
    Countries: Chile
    Forest Zones: Temperate
    Forest Type: Plantation
    Tenure Ownership: (not yet curated)
    Tenure Management: (not yet curated)
    Evidence Category: FSC effect-related studies
    Evidence Type: (not yet curated)
    Evidence Subtype: (not yet curated)
    Data Type: Interviews/surveys, CAR analysis
  • Thumbnail Image
    Author(s): Nebel, G. Bredahl Jabosen, J. Helles, F.
    Publication Year: 2005
    Source: Forest Policy and Economics (7, 2, 175-186)
    Publication Type: Journal Article
    Code:
    Access Rights: Public, Limited access
    Certification Body:
    Version Number:
    Name of the Company:
    Sponsors:
    License Code:
    Relevance for FSC Standard Developers:
    Sustainability dimension(s): Economic
    Topics: Market
    Subtopics: Price premium
    Subject Keywords: Forests Certification
    Regions: South America
    Countries: Bolivia
    Forest Zones: Tropical
    Forest Type: (not yet curated)
    Tenure Ownership: (not yet curated)
    Tenure Management: (not yet curated)
    Evidence Category: FSC effect-related studies
    Evidence Type: Case study
    Evidence Subtype: Qualitative
    Data Type: CAR analysis