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. https://doi.org/10.1016/j.jmarsys.2014.06.014
Before downloading, please read NORA policies.
|
Text (Open Access paper)
1-s2.0-S0924796314001651-main.pdf - Published Version Available under License Creative Commons Attribution. Download (2MB) | Preview |
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): | https://doi.org/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 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year