Use of Satellite Data for the Estimation of the Specific Growth Rate of Phytoplankton in the Surface Layer of the Black Sea

A regional model is proposed for the estimation of the specific growth rate of phytoplankton in the sea surface layer using satellite data. The model is based on phytoplankton photosynthesis rate and biomass in organic carbon units. The phytoplankton photosynthesis rate was calculated based on ecolo...

Full description

Saved in:
Bibliographic Details
Published in:Russian journal of marine biology 2019-07, Vol.45 (4), p.313-319
Main Authors: Finenko, Z. Z., Kovalyova, I. V., Suslin, V. V.
Format: Article
Language:English
Subjects:
Biomedical and Life Sciences
Chlorophyll
Chlorophylls
Coastal zone
Deep water
Extinction coefficient
Freshwater & Marine Ecology
Growth rate
Life Sciences
Light attenuation
Mixed layer
Organic carbon
Photosynthesis
Phytoplankton
Plankton
Radiation
Satellites
Sea surface
Seasonal variation
Seasonal variations
Surface layers
Water temperature
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A regional model is proposed for the estimation of the specific growth rate of phytoplankton in the sea surface layer using satellite data. The model is based on phytoplankton photosynthesis rate and biomass in organic carbon units. The phytoplankton photosynthesis rate was calculated based on ecological and physiological characteristics that were previously obtained for the Black Sea. The input parameters of the model are the chlorophyll concentration in the surface layer, water temperature, the intensity of the photosynthetic active radiation falling on the sea surface, the depth of the mixed layer, and the diffuse light attenuation coefficient. Seasonal variations in specific growth rate of phytoplankton were estimated for deep-water and near-Danube areas. The maximum values were found in the coastal area in May–June, the minimum values were observed in deep waters before the spring maximum of phytoplankton. The maximum and minimum values differed by a factor 5. The measured and calculated values of phytoplankton specific growth rate at individual stations and in selected extensive areas of the sea were fairly close. The model can be used for rapid estimation of the specific growth rate of phytoplankton in the sea surface layer using satellite data.
ISSN:1063-0740
1608-3377
DOI:10.1134/S1063074019040059