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

Marcinko, Charlotte L.J.; Martin, Adrian P. ORCID: https://orcid.org/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. 10.1016/j.jmarsys.2014.06.014

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Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.jmarsys.2014.06.014
ISSN:	9240-7963
Additional Keywords:	Bioluminescence; Dinoflagellate; Ecosystem; Model; Forecast; Atlantic
Date made live:	14 Jul 2014 13:31 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/504715

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.jmarsys.2014.06.014

ISSN:

9240-7963

Additional Keywords:

Bioluminescence; Dinoflagellate; Ecosystem; Model; Forecast; Atlantic

Date made live:

14 Jul 2014 13:31 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/504715