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DUST: A framework for quantifying dugong-seagrass interactions using low-cost UAVs.

Midhun Mohan1, Pandi P Selvam2, Milica Stankovic3

  • 1Ecoresolve, San Francisco, CA, United States; Department of Geography, University of California - Berkeley, Berkeley, CA, United States; United Nations Volunteering Program (via Morobe Development Foundation), Lae, 00411, Papua New Guinea.

Marine Environmental Research
|April 28, 2026
PubMed
Summary

Unmanned aerial vehicles (UAVs) offer a cost-effective solution for monitoring dugong (marine mammal) and seagrass interactions. The proposed Dugong UAV Seagrass Tracking (DUST) framework simplifies data collection for conservation efforts.

Keywords:
Blue carbon ecosystemCommunity-based ecosystem restorationDrone remote sensingHabitat fragmentationManateeMarine wildlife and biodiversity conservation

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Area of Science:

  • Marine ecology
  • Conservation technology
  • Remote sensing

Background:

  • Seagrass ecosystems are vital for global environmental health, providing essential ecosystem services.
  • Dugongs, key marine mammals in the Indo-Pacific, depend on seagrass meadows and influence their health.
  • Declining dugong populations and limited research due to traditional method challenges necessitate innovative monitoring.

Purpose of the Study:

  • To introduce a standardized, user-friendly framework for studying dugong-seagrass interactions using low-cost unmanned aerial vehicles (UAVs).
  • To address the limitations of traditional field methods and satellite imagery in monitoring seagrass extent and dugong behavior.
  • To make seagrass-dugong surveys accessible for community-based conservation in resource-limited regions.

Main Methods:

  • Leveraging low-cost UAVs for high-resolution aerial imagery and data collection in remote areas.
  • Developing the Dugong UAV Seagrass Tracking (DUST) framework, a standardized and simple approach.
  • Informing the framework through literature review and expert consultations on existing challenges and applications.

Main Results:

  • UAVs provide a flexible, cost-effective, and accurate alternative for monitoring seagrass and dugong populations.
  • The DUST framework offers a practical solution to overcome logistical and resolution challenges in previous studies.
  • The proposed approach enhances the feasibility of community-based conservation projects.

Conclusions:

  • The DUST framework facilitates accessible and efficient monitoring of dugong-seagrass ecosystems.
  • This approach can significantly contribute to marine wildlife conservation strategies and understanding of marine megafauna-ecosystem dynamics.
  • Standardized UAV methods are crucial for advancing research and conservation in vital coastal habitats.