Influence of phytoplankton size structure on the spectral attenuation coefficient in the upper ocean

1997 ◽  
Author(s):  
Aurea M. Cioti ◽  
John J. Cullen ◽  
Collin S. Roesler ◽  
Marlon R. Lewis
Keyword(s):  
Attenuation Coefficient ◽  
Size Structure ◽  
Upper Ocean ◽  
Spectral Attenuation ◽  
Phytoplankton Size ◽  
Phytoplankton Size Structure

Size-fractionated surface phytoplankton in the Kara and Laptev Seas: environmental control and spatial variability

2021 ◽  
Vol 664 ◽  
pp. 59-77
Author(s):  
AB Demidov ◽  
IN Sukhanova ◽  
TA Belevich ◽  
MV Flint ◽  
VI Gagarin ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Primary Production ◽  
Water Temperature ◽  
Environmental Control ◽  
Size Structure ◽  
Total Carbon ◽  
The Arctic ◽  
Size Groups ◽  
Phytoplankton Size ◽  
Phytoplankton Size Structure

Climate-induced variability of phytoplankton size structure influences primary productivity, marine food web dynamics, biosedimentation and exchange of CO2 between the atmosphere and ocean. Investigation of phytoplankton size structure in the Arctic Ocean is important due to rapid changes in its ecosystems related to increasing temperature and declining sea ice cover. We estimated the contribution of surface micro-, nano- and picophytoplankton to the total carbon biomass, chlorophyll a concentration and primary production in the Kara and Laptev Seas and investigated the relationships of these phytoplankton size groups with environmental factors which determine their spatial variability. Additionally, we compared chlorophyll specific carbon fixation rate, specific growth rate and carbon to chlorophyll ratios among different phytoplankton size groups. The investigation was carried out from August to September 2018. Generally, picophytoplankton was dominant in terms of chlorophyll a and primary production in the whole study area. The spatial variability of phytoplankton size classes was influenced by river discharge and relied mainly on water temperature, salinity and dissolved silicon concentration. Microphytoplankton prevailed across the river runoff region under conditions of low salinity and relatively high water temperature, while picophytoplankton was predominant under conditions of high salinity and low water temperature. Our study is the first to characterize size-fractionated phytoplankton abundance in the Kara and Laptev Seas, and provides a baseline for future assessment of the response of Kara and Laptev Sea ecosystems to climate-induced processes using phytoplankton size structure.

scholarly journals Physical controls on phytoplankton size structure, photophysiology and suspended particles in a Norwegian biological hotspot

2019 ◽  
Vol 175 ◽  
pp. 284-299 ◽  
Author(s):  
Glaucia M. Fragoso ◽  
Emlyn J. Davies ◽  
Ingrid Ellingsen ◽  
Matilde S. Chauton ◽  
Trygve Fossum ◽  
...  
Keyword(s):  
Size Structure ◽  
Suspended Particles ◽  
Physical Controls ◽  
Phytoplankton Size ◽  
Phytoplankton Size Structure

scholarly journals Phytoplankton size structure, distribution, and primary production as the basis for trophic analysis of Caribbean ecosystems

2010 ◽  
Vol 68 (4) ◽  
pp. 751-765 ◽  
Author(s):  
Marie-Hélène Forget ◽  
Trevor Platt ◽  
Shubha Sathyendranath ◽  
Paul Fanning
Keyword(s):  
Primary Production ◽  
Annual Cycle ◽  
Size Structure ◽  
Marine Ecosystem ◽  
Chlorophyll Concentration ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Phytoplankton Size ◽  
Trophic Analysis ◽  
Phytoplankton Size Structure

Abstract Forget, M-H., Platt, T., Sathyendranath, S., and Fanning, P. 2011. Phytoplankton size structure, distribution, and primary production as the basis for trophic analysis of Caribbean ecosystems. – ICES Journal of Marine Science, 68: 751–765. An oceanographic survey was conducted in Caribbean waters in April and May 2006 to assess the marine ecosystem in the context of a trophic analysis of the foodweb. Analyses of pigment and absorption data revealed that the phytoplankton community was dominated by pico- and nanophytoplankton, particularly at the deep chlorophyll maximum. Based on cluster analysis of remotely sensed data, three dynamic provinces were defined for the region. A 5-year time-series of sea surface temperature and chlorophyll concentration provided information on the annual cycle of these properties. To implement the computation of primary production on a synoptic scale, parameters characterizing the biomass profiles and photosynthesis–irradiance relationships were assigned using four protocols: two regional approaches, a regression with surface chlorophyll, and the nearest-neighbour method (NNM), which has the advantage of assigning parameters on a pixel-by-pixel basis. Monthly images of primary production were computed over an annual cycle using MODIS chlorophyll a concentration. The NNM and the use of dynamic provinces emerged as the methods of choice for parameter assignment. Finally, a new approach from remotely sensed data was developed to estimate production-to-carbon ratios, a key input to Ecopath models. The results contribute to ecotrophic analysis of the Lesser Antilles Pelagic Ecosystem project.

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