Evidence-based knowledge versus negotiated indicators for assessment of ecological sustainability: the Swedish Forest Stewardship Council Standard as a case study

Author(s): Angelstam, P. Roberge, J.M. Axelsson, R. Elbakidze, M. Bergman, K.O.
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Publication Year: 2013
Publication Type: Journal Article
Source: Ambio (42, 229-240)
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Permanent Resource Identifier: Open link
FSC Resource Identifier: Open link
Collections: FSC Research Portal
Abstract

Assessing ecological sustainability involves monitoring of indicators and comparison of their states with performance targets that are deemed sustainable. First, a normative model was developed centered on evidence-based knowledge about (a) forest composition, structure, and function at multiple scales, and (b) performance targets derived by quantifying the habitat amount in naturally dynamic forests, and as required for presence of populations of specialized focal species. Second, we compared the Forest Stewardship Council (FSC) certification standards' ecological indicators from 1998 and 2010 in Sweden to the normative model using a Specific, Measurable, Accurate, Realistic, and Timebound (SMART) indicator approach. Indicator variables and targets for riparian and aquatic ecosystems were clearly under-represented compared to terrestrial ones. FSC's ecological indicators expanded over time from composition and structure towards function, and from finer to coarser spatial scales. However, SMART indicators were few. Moreover, they poorly reflected quantitative evidence-based knowledge, a consequence of the fact that forest certification mirrors the outcome of a complex social negotiation process.

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Sustainability dimension(s): Environmental Social
Topics: Compositional diversity Forest degradation Governance
Subtopics: (not yet curated)
Subject Keywords: Forests Central Africa Certification
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Regions: Europe
Countries: Sweden
Forest Zones: Boreal
Forest Type: Natural Forest
Tenure Ownership: (not yet curated)
Tenure Management: (not yet curated)
Evidence Category: FSC effect-related studies
Evidence Type: Synthesis paper
Evidence Subtype: Literature review
Data Type: Case studies