Guiding stakeholder negotiations in data-poor coastal planning with open-access spatial data
Latifa Pelage1, Adrien Brunel1, Elodie Fache2
1MARBEC, University of Montpellier, CNRS, Ifremer, IRD, Sète, France.
Summary
This study presents a data-driven framework for coastal planning in data-poor regions, balancing conservation with livelihoods. It aids stakeholders in negotiating trade-offs for equitable, multisectoral conservation efforts.
Area of Science:
- Conservation Science
- Coastal Management
- Socio-ecological Systems
Background:
- Negotiating conservation priorities in human-dominated ecosystems is challenging, especially in data-limited areas with conflicting stakeholder interests.
- Coastal zones face acute conflicts between development (e.g., tourism) and resource use (e.g., fisheries).
Purpose of the Study:
- To develop a transparent and reproducible framework for participatory coastal planning in data-poor environments.
- To inform negotiations on conservation priorities by visualizing trade-offs between conservation goals and socioeconomic impacts.
Main Methods:
- Combined open-access satellite imagery with a decision-support tool for spatial prioritization.
- Developed a framework to explore trade-offs in defining conservation targets, locating candidate areas, and determining restriction levels.
- Generated five alternative spatial planning scenarios based on different indices and practices.
Main Results:
- The framework visualizes trade-offs, aiding stakeholders in understanding impacts on tourism and fisheries.
- Alternative scenarios demonstrated how restrictions can be adjusted to meet conservation objectives while supporting local livelihoods.
- Identified limitations of existing conservation units and promoted inclusive decision-making.
Conclusions:
- The developed method provides a practical tool for focusing stakeholder negotiations in conservation planning.
- Offers a scalable and transferable approach for equitable, multisectoral conservation planning in data-poor coastal regions facing complex trade-offs.
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