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Area of Science:

  • Urban Ecology
  • Ecosystem Services Assessment
  • Remote Sensing

Background:

  • Urban areas significantly impact ecosystems but provide essential ecosystem services (ES).
  • Urban green spaces (UGS), particularly lawns, face degradation due to high human activity.
  • Dandelions (Taraxacum officinalis) in lawns offer vital habitats for pollinators.

Purpose of the Study:

  • To develop and present a novel methodology for mapping pollination ES potential in urban lawns.
  • To utilize Unmanned Aerial Vehicle (UAV) technology for high-resolution ecological assessment.
  • To identify and quantify areas suitable for pollinator support within urban landscapes.

Main Methods:

  • Development of a detailed protocol using high-resolution UAV imagery.
  • Image processing including orthomosaic creation and dandelion vectorization.
  • Field validation and spatial analysis using Kernel and Point Density for ES mapping.

Main Results:

  • A novel method was successfully developed to map pollination potential in urban lawns.
  • Dandelions (Taraxacum officinale) were accurately mapped using UAV high-resolution images.
  • The methodology proved effective in identifying key areas with pollination potential.

Conclusions:

  • The developed UAV-based method provides a valuable tool for assessing pollination ES in urban lawns.
  • This approach can be applied to urban grasslands during spring and summer seasons.
  • The findings support targeted urban green space management for pollinator conservation.