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ORIGINAL RESEARCH article

Front. Ecol. Evol.

Sec. Conservation and Restoration Ecology

Volume 13 - 2025 | doi: 10.3389/fevo.2025.1616227

This article is part of the Research TopicCoastal Adaptation Through Nature: Natural and Nature-Based Features (NNBF) ResearchView all 9 articles

Assessing the effects of engineered oyster reefs on shoreline change using drones

Provisionally accepted
  • 1East Carolina University, Greenville, United States
  • 2Legacyworks group, Santa Barbara, CA, United States
  • 3Texas A&M University Central Texas, Killeen, Texas, United States
  • 4National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science (NOAA), Beaufort, United States
  • 5North Carolina Coastal Reserve and National Estuarine Research Reserve, Beaufort, North Carolina, United States

The final, formatted version of the article will be published soon.

Coastal infrastructure and property, as well as intertidal wetlands, are increasingly being threatened by shoreline erosion; a consequence of human activities and climate change. Nature-based solutions, such as intertidal engineered oyster reefs, can reduce erosion and promote sediment accretion, thereby promoting the restoration and persistence of salt marshes and preventing the loss of coastal lands. Engineered oyster reef substrate and design options have rapidly expanded in the last decade, yet our understanding of how these approaches influence ecosystems and intertidal morphology is limited. Drones (or small uncrewed aerial systems [sUAS]) coupled with structurefrom-motion (SfM) photogrammetry have recently been suggested as a low-cost method that offers optimal spatial coverage, fine-scale resolution, and high vertical accuracy for monitoring changes around living shorelines. We evaluated how using different vertical and horizontal uncertainty thresholds for detection of drone-based shoreline change can influence interpretation of performance of engineered oyster reefs on coastal morphology and vegetation. We monitored three sites with engineered oyster reefs installed in 2020 and one reference site located on Carrot Island along Taylor Creek in Beaufort, NC, USA. Comparisons of the Digital Elevation Models (DEMs) and orthomosaics derived from the drone imagery revealed all sites saw marsh edge retreat from 2022 to 2023 (2-3 years post-restoration), and all sites except one low-relief oyster reef site saw elevation loss. Elevation loss was highest at the control site, but marsh edge retreat was highest at one of the engineered oyster reefs. While horizontal thresholds did not yield statistically different results, vertical thresholds did. Our results support using a 95% confidence interval for conservative volumetric estimates and recommend that future studies consider aligning uncertainty thresholds with monitoring goals and timelines.

Keywords: Small Uncrewed Aerial System (sUAS), Structure from motion (SfM) photogrammetry, Digital elevation model of difference (DOD), Shoreline erosion, Nature-based solutions, Bio-geomorphology

Received: 22 Apr 2025; Accepted: 27 Jul 2025.

Copyright: © 2025 Geesin, Tso, Sirianni, Narayan, Baillie, Malali, Puckett, Ridge and Gittman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Megan Elizabeth Geesin, East Carolina University, Greenville, United States

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