Anomalous Phenomena in the Development of Phytoplankton in the Black Sea on the Basis of Remote Sensing Data

Vazyulya

2022

JMSE

Based on satellite data from the SeaWiFS, MODIS-Aqua, and MODIS-Terra scanners, the long-term dynamics of coccolithophores in the Black Sea and their large-scale heterogeneity have been studied. During the twenty years in May and June, mass development of coccolithophores population of different intensities was recorded annually. Summer blooms of coccolithophores reached peak levels in 2006, 2012, and 2017, after abnormally cold winters. It was noted that in conditions of low summer temperatures, the blooming of coccolithophores could be significantly reduced or acquire a local character (2004). In the anomalous cold summer of 2001, coccolithophore blooms were replaced by the mass growth of diatoms. Over twenty years, numerous signs of coccolithophores mass development in the cold season have been revealed. Winter blooms develop mainly in warm winters with periods of low wind activity. The formation of a thermocline and the surface layer’s stability are essential factors for initiating winter blooms of coccolithophores. It was noted that after the winter blooms of coccolithophores, their summer growth was poorly expressed. It is shown that during periods of rapid growth, the bulk of coccolithophores is concentrated in the upper mixed layer and thermocline. During the blooming period, the share of coccolithophores in phytoplankton biomass constituted 70–85%. The intensity of coccolithophore’s blooms is associated with the previous diatoms’ growth level. The effect of eddies circulation on the distribution and growth of coccolithophores is considered.

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

Seasonal and Long-Term Variability of Coccolithophores in the Black Sea According to Remote Sensing Data and the Results of Field Investigations

Востоков

Vazyulya

2022

JMSE

“…Regional features of the seasonal dynamics of phytoplankton in different areas of the sea were not considered. The use of remote sensing chlorophyll data enables to fill in the existing gaps [3].…”

Section: Introductionmentioning

confidence: 99%

Regional features of seasonal variability of phytoplankton in the Black Sea studied by remote sensing data.

28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

Востоков²,

Sahling³

2022

Regional features of seasonal variability of phytoplankton in the Black Sea have been studied by use of the MODIS data. Verification of satellite data was carried out using an array of contact measurements of chlorophyll in different seasons of the year. Maps of the average monthly values of chlorophyll and PIC (particulate inorganic carbon) over a twenty-year period and diagrams of their seasonal variability were constructed for local waters of the Black Sea. At least four types of seasonal variability have been identified, which are determined by a combination of climatic, local hydrological and anthropogenic factors.

Study of seasonal and long-term phytoplankton variability in the Caspian Sea based on remote sensing data.

Востоков¹,

Sahling

28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

et al. 2022

The patterns of seasonal and long-term variability of phytoplankton in the Caspian Sea have been studied using SeaWiFS and MODIS-Aqua data. Chlorophyll "a" concentrations (CHL) in the Caspian Sea were calculated by the regional algorithm developed using an array of in situ measurements in different seasons of the year. Maps of the average monthly CHL values over a twenty-two-year period and seasonal variability diagrams were constructed for the Northern, Middle and Southern Caspian Sea. The features of seasonal variability of phytoplankton are analyzed using CHL data. The fundamental differences were mentioned in seasonal variability of phytoplankton in the Northern, Caspian Middle and Southern Caspian. The regularities of the spatial dynamics of CHL throughout the sea have been studied according to seasonal succession of phytoplankton. The years with significant deviations of the seasonal dynamics of CHL from the average climatic one were identified.