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Published on: July 27, 2018
A Keyword Approach to Finding Common Ground in Community-Based Definitions of Human Well-Being.
R S Fulford1, I Krauss2, S Yee1
1Gulf Ecology Division, US Environmental Protection Agency, 1 Sabine Island Road, Gulf Breeze, FL, 32561, USA.
Ecosystem-based management requires understanding community objectives for sustainable outcomes. This study found that community type, not region, significantly impacts well-being priorities, offering insights for transferable sustainability indices.
Area of Science:
- Ecology and Environmental Science
- Social Science
- Urban and Regional Planning
Background:
- Ecosystem-based management (EBM) integrates ecosystem services and human beneficiaries into decision-making across scales.
- Local-scale EBM faces challenges in achieving consistent outcomes due to differing community priorities and resource availability.
- Identifying common community objectives is crucial for developing transferable indices of ecosystem benefits and human well-being.
Purpose of the Study:
- To identify common community objectives from strategic planning documents using a keyword-based approach.
- To develop transferable indices of human well-being based on these common objectives.
- To compare identified well-being commonalities with community demographics, location, and type.
Main Methods:
- Keyword-based analysis of strategic planning documents from coastal communities in the conterminous United States.
- Examination of eight domains of human well-being within these documents.
- Multivariate analysis to identify gradients and differences in well-being priorities across communities.
Main Results:
- Living Standards and Safety/Security were the most frequently addressed well-being domains; Health and Cultural Fulfillment were least addressed.
- Community type significantly influenced well-being priorities (five of eight domains), showing an urban-to-rural gradient.
- Urban communities prioritized Education and Living Standards, while rural communities focused on Social Cohesion and Leisure Time.
Conclusions:
- Automated keyword analysis is effective for extracting information from community strategic planning documents.
- Local-scale perceptions of well-being vary significantly by community type, not primarily by region.
- Findings support the development of tailored, transferable sustainability indices for communities with similar characteristics.
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