The University of Southampton
University of Southampton Institutional Repository

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

Modelling dinoflagellates as an approach to the seasonal forecasting of bioluminescence in the North Atlantic
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 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.
0924-7963
261-276
Marcinko, Charlotte L.J.
1fbc10e0-5c44-4cac-8a70-862ba0e47a66
Martin, Adrian P.
9d0d480d-9b3c-44c2-aafe-bb980ed98a6d
Allen, John T.
17bc259e-c288-4d19-b23b-35bb3926e679
Marcinko, Charlotte L.J.
1fbc10e0-5c44-4cac-8a70-862ba0e47a66
Martin, Adrian P.
9d0d480d-9b3c-44c2-aafe-bb980ed98a6d
Allen, John T.
17bc259e-c288-4d19-b23b-35bb3926e679

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).

Record type: Article

Abstract

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.

Text
1-s2.0-S0924796314001651-main.pdf - Version of Record
Available under License Other.
Download (2MB)

More information

Submitted date: January 2014
Accepted/In Press date: July 2014
Published date: November 2014
Organisations: Marine Biogeochemistry

Identifiers

Local EPrints ID: 361710
URI: http://eprints.soton.ac.uk/id/eprint/361710
ISSN: 0924-7963
PURE UUID: fe926eaf-ffb1-4679-9f7b-d43eb71f1705
ORCID for Charlotte L.J. Marcinko: ORCID iD orcid.org/0000-0002-5369-3950

Catalogue record

Date deposited: 30 Jan 2014 15:15
Last modified: 14 Mar 2024 15:55

Export record

Altmetrics

Contributors

Author: Adrian P. Martin
Author: John T. Allen

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×