Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and structure‐from‐motion photogrammetry
Abstract Quantifying the structural complexity provided by biogenic habitat structures is important in ecology, conservation and management, and yet remains a challenging task, particularly in deep sea and polar environments, that current photogrammetry tools can alleviate. In this study, we demonst...
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Format: | Article |
Language: | English |
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Wiley
2024-02-01
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Series: | Remote Sensing in Ecology and Conservation |
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Online Access: | https://doi.org/10.1002/rse2.358 |
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author | Juan C. Montes‐Herrera Nicole Hill Vonda J. Cummings Glenn J. Johnstone Jonathan S. Stark Vanessa Lucieer |
author_facet | Juan C. Montes‐Herrera Nicole Hill Vonda J. Cummings Glenn J. Johnstone Jonathan S. Stark Vanessa Lucieer |
author_sort | Juan C. Montes‐Herrera |
collection | DOAJ |
description | Abstract Quantifying the structural complexity provided by biogenic habitat structures is important in ecology, conservation and management, and yet remains a challenging task, particularly in deep sea and polar environments, that current photogrammetry tools can alleviate. In this study, we demonstrate how small remotely operated vehicles and compact underwater GoPro® action cameras can be easily integrated into coastal Antarctic surveys to quantify structural complexity of under‐ice benthos via underwater photogrammetry. Forty‐four pairs of 1 m2 quadrats at 1 cm resolution, each comprising an orthomosaic and three‐dimensional reconstructions, were analyzed to describe relationships between benthic cover and structural complexity metrics. The study case provided insights into a unique biogenic habitat, highlighting the role of integrating structural complexity metrics in Antarctic benthic surveys. Although no clear relationships between structural complexity and biodiversity were found, high cover of live reef‐building polychaetes was associated with higher levels of structural complexity, particularly fractal dimension (D). Further, broken biogenic structures, product of disturbance events retain habitat structural complexity known to be associated with larvae settlement and biogenic reef growth. This suggests that D can be used as a metric for detecting subtle changes in biogenic structural complexity. We build from available open‐source code, a reproducible scientific workflow that is expected to facilitate the acquisition and analysis of structural complexity metrics. The workflow presented aims to encourage and accelerate the use of photogrammetry tools for benthic studies aiming to quantify biogenic structural complexity across depths and latitudes. |
first_indexed | 2024-03-07T21:30:24Z |
format | Article |
id | doaj.art-0fe2c5f7b69f4aa79161e0881c646284 |
institution | Directory Open Access Journal |
issn | 2056-3485 |
language | English |
last_indexed | 2024-03-07T21:30:24Z |
publishDate | 2024-02-01 |
publisher | Wiley |
record_format | Article |
series | Remote Sensing in Ecology and Conservation |
spelling | doaj.art-0fe2c5f7b69f4aa79161e0881c6462842024-02-26T17:17:13ZengWileyRemote Sensing in Ecology and Conservation2056-34852024-02-01101729010.1002/rse2.358Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and structure‐from‐motion photogrammetryJuan C. Montes‐Herrera0Nicole Hill1Vonda J. Cummings2Glenn J. Johnstone3Jonathan S. Stark4Vanessa Lucieer5Institute for Marine and Antarctic Studies University of Tasmania Hobart7001 TasmaniaAustraliaInstitute for Marine and Antarctic Studies University of Tasmania Hobart7001 TasmaniaAustraliaNational Institute of Water and Atmospheric Research PO Box 14901 Wellington New ZealandAustralian East Antarctic Monitoring Program, Australian Antarctic Division 203 Channel HwyKingston7050 TasmaniaAustraliaAustralian East Antarctic Monitoring Program, Australian Antarctic Division 203 Channel HwyKingston7050 TasmaniaAustraliaInstitute for Marine and Antarctic Studies University of Tasmania Hobart7001 TasmaniaAustraliaAbstract Quantifying the structural complexity provided by biogenic habitat structures is important in ecology, conservation and management, and yet remains a challenging task, particularly in deep sea and polar environments, that current photogrammetry tools can alleviate. In this study, we demonstrate how small remotely operated vehicles and compact underwater GoPro® action cameras can be easily integrated into coastal Antarctic surveys to quantify structural complexity of under‐ice benthos via underwater photogrammetry. Forty‐four pairs of 1 m2 quadrats at 1 cm resolution, each comprising an orthomosaic and three‐dimensional reconstructions, were analyzed to describe relationships between benthic cover and structural complexity metrics. The study case provided insights into a unique biogenic habitat, highlighting the role of integrating structural complexity metrics in Antarctic benthic surveys. Although no clear relationships between structural complexity and biodiversity were found, high cover of live reef‐building polychaetes was associated with higher levels of structural complexity, particularly fractal dimension (D). Further, broken biogenic structures, product of disturbance events retain habitat structural complexity known to be associated with larvae settlement and biogenic reef growth. This suggests that D can be used as a metric for detecting subtle changes in biogenic structural complexity. We build from available open‐source code, a reproducible scientific workflow that is expected to facilitate the acquisition and analysis of structural complexity metrics. The workflow presented aims to encourage and accelerate the use of photogrammetry tools for benthic studies aiming to quantify biogenic structural complexity across depths and latitudes.https://doi.org/10.1002/rse2.358Biogenic structureshabitat conservationseafloor mappingseascape ecologystructure‐from‐motionunderwater photogrammetry |
spellingShingle | Juan C. Montes‐Herrera Nicole Hill Vonda J. Cummings Glenn J. Johnstone Jonathan S. Stark Vanessa Lucieer Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and structure‐from‐motion photogrammetry Remote Sensing in Ecology and Conservation Biogenic structures habitat conservation seafloor mapping seascape ecology structure‐from‐motion underwater photogrammetry |
title | Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and structure‐from‐motion photogrammetry |
title_full | Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and structure‐from‐motion photogrammetry |
title_fullStr | Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and structure‐from‐motion photogrammetry |
title_full_unstemmed | Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and structure‐from‐motion photogrammetry |
title_short | Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and structure‐from‐motion photogrammetry |
title_sort | remote sensing of antarctic polychaete reefs serpula narconensis reproducible workflows for quantifying benthic structural complexity with action cameras remotely operated vehicles and structure from motion photogrammetry |
topic | Biogenic structures habitat conservation seafloor mapping seascape ecology structure‐from‐motion underwater photogrammetry |
url | https://doi.org/10.1002/rse2.358 |
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