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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ftnerc:oai:nora.nerc.ac.uk:504715 2023-05-15T17:29:29+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 http://nora.nerc.ac.uk/id/eprint/504715/ https://nora.nerc.ac.uk/id/eprint/504715/1/1-s2.0-S0924796314001651-main.pdf en eng https://nora.nerc.ac.uk/id/eprint/504715/1/1-s2.0-S0924796314001651-main.pdf Marcinko, Charlotte L.J.; Martin, Adrian P. orcid:0000-0002-1202-8612 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. https://doi.org/10.1016/j.jmarsys.2014.06.014 <https://doi.org/10.1016/j.jmarsys.2014.06.014> cc_by CC-BY Publication - Article PeerReviewed 2014 ftnerc https://doi.org/10.1016/j.jmarsys.2014.06.014 2023-02-04T19:38:34Z 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 Natural Environment Research Council: NERC Open Research Archive Journal of Marine Systems 139 261 275 |
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Open Polar |
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Natural Environment Research Council: NERC Open Research Archive |
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ftnerc |
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 |
http://nora.nerc.ac.uk/id/eprint/504715/ https://nora.nerc.ac.uk/id/eprint/504715/1/1-s2.0-S0924796314001651-main.pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://nora.nerc.ac.uk/id/eprint/504715/1/1-s2.0-S0924796314001651-main.pdf Marcinko, Charlotte L.J.; Martin, Adrian P. orcid:0000-0002-1202-8612 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. https://doi.org/10.1016/j.jmarsys.2014.06.014 <https://doi.org/10.1016/j.jmarsys.2014.06.014> |
op_rights |
cc_by |
op_rightsnorm |
CC-BY |
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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1766123620836311040 |