Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic

Bioluminescence within ocean surface waters is of significant interest because it can enhance the study of subsurface movement and organisms. Little is known about how bioluminescence potential (BPOT) varies spatially and temporally in the open ocean. However, light emitted from dinoflagellates ofte...

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Published in:Journal of Marine Systems
Main Authors: Marcinko, Charlotte L.J., Martin, Adrian P., Allen, John T.
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Online Access:https://eprints.soton.ac.uk/361710/
https://eprints.soton.ac.uk/361710/1/1-s2.0-S0924796314001651-main.pdf
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spelling ftsouthampton:oai:eprints.soton.ac.uk:361710 2023-07-30T04:05:16+02:00 Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic Marcinko, Charlotte L.J. Martin, Adrian P. Allen, John T. 2014-11 text https://eprints.soton.ac.uk/361710/ https://eprints.soton.ac.uk/361710/1/1-s2.0-S0924796314001651-main.pdf en English eng https://eprints.soton.ac.uk/361710/1/1-s2.0-S0924796314001651-main.pdf Marcinko, Charlotte L.J., Martin, Adrian P. and Allen, John T. (2014) Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic. Journal of Marine Systems, 139, 261-276. (doi:10.1016/j.jmarsys.2014.06.014 <http://dx.doi.org/10.1016/j.jmarsys.2014.06.014>). other Article PeerReviewed 2014 ftsouthampton https://doi.org/10.1016/j.jmarsys.2014.06.014 2023-07-09T21:51:16Z Bioluminescence within ocean surface waters is of significant interest because it can enhance the study of subsurface movement and organisms. Little is known about how bioluminescence potential (BPOT) varies spatially and temporally in the open ocean. However, light emitted from dinoflagellates often dominates the stimulated bioluminescence field. As a first step towards forecasting surface ocean bioluminescence in the open ocean, a simple ecological model is developed which simulates seasonal changes in dinoflagellate abundance. How forecasting seasonal changes in BPOT may be achieved through combining such a model with relationships derived from observations is discussed and an example given. The study illustrates a potential new approach to forecasting BPOT through explicitly modelling the population dynamics of a prolific bioluminescent phylum. The model developed here offers a promising platform for the future operational forecasting of the broad temporal changes in bioluminescence within the North Atlantic. Such forecasting of seasonal patterns could provide valuable information for the targeting of scientific field campaigns. Article in Journal/Newspaper North Atlantic University of Southampton: e-Prints Soton Journal of Marine Systems 139 261 275
institution Open Polar
collection University of Southampton: e-Prints Soton
op_collection_id ftsouthampton
language English
description Bioluminescence within ocean surface waters is of significant interest because it can enhance the study of subsurface movement and organisms. Little is known about how bioluminescence potential (BPOT) varies spatially and temporally in the open ocean. However, light emitted from dinoflagellates often dominates the stimulated bioluminescence field. As a first step towards forecasting surface ocean bioluminescence in the open ocean, a simple ecological model is developed which simulates seasonal changes in dinoflagellate abundance. How forecasting seasonal changes in BPOT may be achieved through combining such a model with relationships derived from observations is discussed and an example given. The study illustrates a potential new approach to forecasting BPOT through explicitly modelling the population dynamics of a prolific bioluminescent phylum. The model developed here offers a promising platform for the future operational forecasting of the broad temporal changes in bioluminescence within the North Atlantic. Such forecasting of seasonal patterns could provide valuable information for the targeting of scientific field campaigns.
format Article in Journal/Newspaper
author Marcinko, Charlotte L.J.
Martin, Adrian P.
Allen, John T.
spellingShingle Marcinko, Charlotte L.J.
Martin, Adrian P.
Allen, John T.
Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic
author_facet Marcinko, Charlotte L.J.
Martin, Adrian P.
Allen, John T.
author_sort Marcinko, Charlotte L.J.
title Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic
title_short Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic
title_full Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic
title_fullStr Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic
title_full_unstemmed Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic
title_sort modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the north atlantic
publishDate 2014
url https://eprints.soton.ac.uk/361710/
https://eprints.soton.ac.uk/361710/1/1-s2.0-S0924796314001651-main.pdf
genre North Atlantic
genre_facet North Atlantic
op_relation https://eprints.soton.ac.uk/361710/1/1-s2.0-S0924796314001651-main.pdf
Marcinko, Charlotte L.J., Martin, Adrian P. and Allen, John T. (2014) Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic. Journal of Marine Systems, 139, 261-276. (doi:10.1016/j.jmarsys.2014.06.014 <http://dx.doi.org/10.1016/j.jmarsys.2014.06.014>).
op_rights other
op_doi https://doi.org/10.1016/j.jmarsys.2014.06.014
container_title Journal of Marine Systems
container_volume 139
container_start_page 261
op_container_end_page 275
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