How Do Multi-criteria Assessments Address Landscape-level Problems? A Review of Studies and Practices
Sandrine Allain,
Gaël Plumecocq () and
Delphine Leenhardt
Ecological Economics, 2017, vol. 136, issue C, 282-295
Abstract:
Viewing the landscape as a spatialized social-ecological system allows identification of specific management challenges: integration of multiple views, multiple levels of organization, complex spatial-temporal patterns and uncertainties. Multi-criteria assessments (MCAs), which allow the comparison of alternative actions when multiple interests collide, are considered adequate to support landscape management. However, there is no consensus about how they should be applied and can integrate both multiple views and spatial dimension. We conducted an extensive quantitative and qualitative literature review targeting MCAs with a participatory and spatial approach. Our results suggest that (1) for sustainability assessments, participatory and spatial approaches endorse different rationales and hybrid methods are not so common; (2) within those methods, only scenario-selection methods (as opposed to design methods) can integrate spatially-explicit, spatially-implicit, place-specific, and overall values; and (3) current applications, which aggregate values ignoring their spatial and social distribution, do not coincide with the nature of landscape-management challenges. In addition, they give little importance to the structuration of information and to collective deliberation. We conclude that, in the absence of a good match between spatiality and participation, MCAs should, for now, be handled as insightful but distorted tools to explore and structure landscape-level management problems.
Keywords: Landscape management; Integrated assessment; Spatialization; Participation; Social-ecological system (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolec:v:136:y:2017:i:c:p:282-295
DOI: 10.1016/j.ecolecon.2017.02.011
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