4.7 Article

Forming shared values in conservation management: An interpretive-deliberative-democratic approach to including community voices

期刊

ECOSYSTEM SERVICES
卷 21, 期 -, 页码 344-357

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ecoser.2016.09.016

关键词

Deliberative value formation; Values based approach; Cultural ecosystem services; Marine protected areas; Post-normal science; Transdisciplinarity

资金

  1. Calouste Gulbenkian Foundation, UK Branch
  2. Bromley Trust
  3. Green Britain Foundation
  4. European Union [315925]

向作者/读者索取更多资源

Global recognition of the decline of marine ecosystems and their services has led to rapid designation of Marine Protected Areas (MPAs) in recent decades. The complexity of effectively managing protected areas within the context of densely populated, highly used and contested coastlines points to the need for decision-support processes that effectively engage users and incorporate social, cultural and economic considerations alongside ecological objectives. Multi-Criteria Approaches (MCA) are established tools for complex decision-making involving uncertain, multi-scale environmental issues and multiple actors. Working closely with decision-makers, we develop a novel approach that draws on the strengths of MCA, but focuses less on arithmetic outcomes, instead presenting a deliberative-democratic process to facilitate emergence of shared values around effective conservation management. We nest these deliberations within the Community Voice Method (CVM), an interpretive film-based approach. CVM enables reflection on deeper-held values, stepping back from polarised policy debates and fostering conversation around shared values connecting people to place. We discuss how the integrated interpretive-deliberative methodology by a transdisciplinary team improved participation and engagement and provided outputs that supported improved decision-making. The approach made diverse impacts and benefits explicit and highlighted shared values amongst participants as a critical part of establishing robust management.

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