New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision

Langenkämper D, Buhl-Mortensen P, Nilssen I, Nattkemper TW. New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision. Discover Oceans . 2024;1(1): 21. Introduction Modern stationary observatories, equipped with cameras and other sensors, make it possible to...

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Published in:Discover Oceans
Main Authors: Langenkämper, Daniel, Buhl-Mortensen, Pål, Nilssen, Ingunn, Nattkemper, Tim Wilhelm
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2024
Subjects:
Online Access:https://nbn-resolving.org/urn:nbn:de:0070-pub-29928696
https://pub.uni-bielefeld.de/record/2992869
https://pub.uni-bielefeld.de/download/2992869/2992870
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author Langenkämper, Daniel
Buhl-Mortensen, Pål
Nilssen, Ingunn
Nattkemper, Tim Wilhelm
author_facet Langenkämper, Daniel
Buhl-Mortensen, Pål
Nilssen, Ingunn
Nattkemper, Tim Wilhelm
author_sort Langenkämper, Daniel
collection PUB - Publications at Bielefeld University
container_issue 1
container_title Discover Oceans
container_volume 1
description Langenkämper D, Buhl-Mortensen P, Nilssen I, Nattkemper TW. New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision. Discover Oceans . 2024;1(1): 21. Introduction Modern stationary observatories, equipped with cameras and other sensors, make it possible to observe and study cold-water corals in situ over increasingly long periods of time. In this study we investigate data collected for a bubblegum coral (Paragorgia arborea) with the LoVe (Lofoten Vesteralen) observatory for a period of 117 days, including time series of images, current, water depth and temperature. This kind of multimodal time series data represent a new methodological challenge for marine technology and bioinformatics. Methods In this work, we continue on the path to computer-aided ocean data analysis and show how, in addition to polyp activity, morphological parameters can be extracted from image data with a new deep learning-based approach. Using customized visualizations we show how this image-derived data together with the environmental data can be analysed and new interpretations are supported. Results Our results indicate that the polyp activity and branch diameter variation followed a semi-cyclic pattern, with the polyps changing from fully retracted to fully expanded faster than the image sampling rate, resulting in an almost binary time series that showed positive correlation with the current strength, which may be related to food supply. The periods of full polyp expansion ranged from 1 to 4 h, with the majority around 1 h. The variation in branch diameter and volume of intra-skeletal channels probably relates to the intra-colonial transport of nutrients and waste products. During a 16 day period in March 2019, the polyps remained retracted for an extended period accompanied by little variation in branch diameter. This behaviour was not related to any of the measured environmental conditions. Further studies are required to determine if this could be linked to biological processes, such as ...
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Paragorgia arborea
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Paragorgia arborea
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spelling ftubbiepub:oai:pub.uni-bielefeld.de:2992869 2025-01-16T23:00:09+00:00 New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision Langenkämper, Daniel Buhl-Mortensen, Pål Nilssen, Ingunn Nattkemper, Tim Wilhelm 2024 https://nbn-resolving.org/urn:nbn:de:0070-pub-29928696 https://pub.uni-bielefeld.de/record/2992869 https://pub.uni-bielefeld.de/download/2992869/2992870 eng eng Springer Science and Business Media LLC info:eu-repo/semantics/altIdentifier/doi/10.1007/s44289-024-00023-8 info:eu-repo/semantics/altIdentifier/issn/2948-1562 https://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess ddc:600 http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article doc-type:article text 2024 ftubbiepub https://doi.org/10.1007/s44289-024-00023-8 2024-10-01T14:27:53Z Langenkämper D, Buhl-Mortensen P, Nilssen I, Nattkemper TW. New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision. Discover Oceans . 2024;1(1): 21. Introduction Modern stationary observatories, equipped with cameras and other sensors, make it possible to observe and study cold-water corals in situ over increasingly long periods of time. In this study we investigate data collected for a bubblegum coral (Paragorgia arborea) with the LoVe (Lofoten Vesteralen) observatory for a period of 117 days, including time series of images, current, water depth and temperature. This kind of multimodal time series data represent a new methodological challenge for marine technology and bioinformatics. Methods In this work, we continue on the path to computer-aided ocean data analysis and show how, in addition to polyp activity, morphological parameters can be extracted from image data with a new deep learning-based approach. Using customized visualizations we show how this image-derived data together with the environmental data can be analysed and new interpretations are supported. Results Our results indicate that the polyp activity and branch diameter variation followed a semi-cyclic pattern, with the polyps changing from fully retracted to fully expanded faster than the image sampling rate, resulting in an almost binary time series that showed positive correlation with the current strength, which may be related to food supply. The periods of full polyp expansion ranged from 1 to 4 h, with the majority around 1 h. The variation in branch diameter and volume of intra-skeletal channels probably relates to the intra-colonial transport of nutrients and waste products. During a 16 day period in March 2019, the polyps remained retracted for an extended period accompanied by little variation in branch diameter. This behaviour was not related to any of the measured environmental conditions. Further studies are required to determine if this could be linked to biological processes, such as ... Article in Journal/Newspaper Lofoten Paragorgia arborea PUB - Publications at Bielefeld University Lofoten Discover Oceans 1 1
spellingShingle ddc:600
Langenkämper, Daniel
Buhl-Mortensen, Pål
Nilssen, Ingunn
Nattkemper, Tim Wilhelm
New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision
title New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision
title_full New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision
title_fullStr New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision
title_full_unstemmed New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision
title_short New ecological knowledge of the bubblegum coral Paragorgia arborea (L. 1758) using computer vision
title_sort new ecological knowledge of the bubblegum coral paragorgia arborea (l. 1758) using computer vision
topic ddc:600
topic_facet ddc:600
url https://nbn-resolving.org/urn:nbn:de:0070-pub-29928696
https://pub.uni-bielefeld.de/record/2992869
https://pub.uni-bielefeld.de/download/2992869/2992870