Remotely Sensing Phytoplankton Size Structure in the Red Sea

John Anthony Gittings Sr1, Robert J W Brewin2,3, Dionysios E Raitsos4,5, Malika Kheireddine6, Mustapha Ouhssain1, Burton H Jones1 and Ibrahim Hoteit7, (1)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2)University of Exeter, Exeter, United Kingdom, (3)Plymouth Marine Laboratory, Plymouth, United Kingdom, (4)Plymouth Marine Laboratory (PML), Plymouth, United Kingdom, (5)National and Kapodistrian University of Athens, Athens, Greece, (6)KAUST- King Abdullah University of Science and Technology, Red Sea Research Center, Thuwal, Saudi Arabia, (7)King Abdullah University of Science and Technology, Division of Physical Science and Engineering, Thuwal, Saudi Arabia
Abstract:
Phytoplankton size structure impacts ocean food-web dynamics and biogeochemical cycling, and is thus an important ecological indicator that can be utilised to quantitatively evaluate the state of marine ecosystems. Potential alterations to size structure are predicted to occur in tropical regions under future scenarios of climate change. Therefore, there is an increasing requirement for the synoptic monitoring of phytoplankton size structure in marine systems. The Red Sea remains a comparatively unexplored tropical marine ecosystem, particularly with regards to its large-scale biological dynamics. Using an in situ pigment dataset acquired in the Red Sea, we parameterise a two-component, abundance-based phytoplankton size model and apply it to remotely-sensed observations of chlorophyll-a (Chl-a) concentration, to infer Chl-a in two size classes of phytoplankton, small cells < 2 μm in size (picophytoplankton) and large cells > 2 μm in size. Satellite-derived estimates of phytoplankton size structure are in good agreement with corresponding in situ measurements and also capture the spatial variability related to regional mesoscale dynamics. Our analysis reveals that, for the estimation of Chl-a in the two size classes, the model performs comparably or in some cases better, to in situ validations in other oceanic regions. Using the re-parameterised model, we investigate the phenology of the independent phytoplankton size classes in the Red Sea, and assess the physical mechanisms driving their seasonal and interannual variability. The results of our analysis are important for understanding trophic linkages between phytoplankton size structure and fisheries, and the development of marine management strategies in the Red Sea.