Evaluating tropical phytoplankton phenology metrics using contemporary tools

Gittings, John A., Raitsos, Dionysios E., Kheireddine, Malika, Racault, Marie-Fanny, Claustre, Hervé and Hoteit, Ibrahim (2019) Evaluating tropical phytoplankton phenology metrics using contemporary tools. Scientific Reports, 9. ISSN 2045-2322

[img]
Preview
PDF (Gittings_etal_2019_SciRep) - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

The timing of phytoplankton growth (phenology) in tropical oceans is a crucial factor influencing the survival rates of higher trophic levels, food web structure and the functioning of coral reef ecosystems. Phytoplankton phenology is thus categorised as an ‘ecosystem indicator’, which can be utilised to assess ecosystem health in response to environmental and climatic perturbations. Ocean-colour remote sensing is currently the only technique providing global, long-term, synoptic estimates of phenology. However, due to limited available in situ datasets, studies dedicated to the validation of satellite-derived phenology metrics are sparse. The recent development of autonomous oceanographic observation platforms provides an opportunity to bridge this gap. Here, we use satellite-derived surface chlorophyll-a (Chl-a) observations, in conjunction with a Biogeochemical-Argo dataset, to assess the capability of remote sensing to estimate phytoplankton phenology metrics in the northern Red Sea – a typical tropical marine ecosystem. We find that phenology metrics derived from both contemporary platforms match with a high degree of precision (within the same 5-day period). The remotely-sensed surface signatures reflect the overall water column dynamics and successfully capture Chl-a variability related to convective mixing. Our findings offer important insights into the capability of remote sensing for monitoring food availability in tropical marine ecosystems, and support the use of satellite-derived phenology as an ecosystem indicator for marine management strategies in regions with limited data availability.

Item Type: Article
Uncontrolled Keywords: sdg 14 - life below water ,/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
Faculty \ School: Faculty of Science > School of Environmental Sciences
Depositing User: LivePure Connector
Date Deposited: 11 Feb 2022 15:30
Last Modified: 15 Apr 2022 00:51
URI: https://ueaeprints.uea.ac.uk/id/eprint/83428
DOI: 10.1038/s41598-018-37370-4

Actions (login required)

View Item View Item