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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Related Experiment Video

Updated: Mar 13, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
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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.

Conservation Biology : the Journal of the Society for Conservation Biology
|March 12, 2026
PubMed
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.

Keywords:
Herramienta de apoyo a la toma de decisionesdecision support toolimágenes satelitalesmanglaresmangrovespesca a pequeña escalareservasreservessatellite imagerysmall‐scale fisheriessocioecosistemas tropicalestropical social‐ecological systems保护区决策支持工具卫星影像小型渔业热带社会生态系统红树林

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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.