The present-day condition and regularities of the distribution of the bottom communities in Taganrog Bay

Shokhin, I.V.; Nabozhenko, M.V.; Sarvilina, S. V.; Titova, E. P.

doi:10.1134/s000143700603012x

Cited by 8 publications

(6 citation statements)

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“…Historically, PC species were common in the Taganrog Bay and the outer Don River Delta. In early 2000, communities were changing (Shokhin et al., 2006 ) but later works showed the persistence of, slightly altered but nevertheless diverse, M . colorata communities in the inner and central bay area (Nabozhenko, 2008 ) and the Yeysk Liman (Nabozhenko & Kovalenko, 2011 ).…”

Section: Resultsmentioning

confidence: 99%

“…Such deterioration also applies to other rivers of the NW Black Sea region (South Bug, Dniester), as well as the lower Don River and Taganrog Bay (Anistratenko et al, 2011;Shokhin et al, 2006).…”

Section: Tsimlyansk Reservoirmentioning

confidence: 99%

“…The Dreissena-Monodacna communities form species-rich communities in freshwater to oligohaline settings at the core of estuaries in all BSB PC regions and are locally dominated by either Monodacna or Dreissena species (Markovsky, 1953(Markovsky, , 1954a(Markovsky, , 1955Mordukhay-Boltovskoy, 1960). Adacna-Hypanis-Monodacna-dominated communities were common in the oligohaline-mesohaline zones in all BSB PC regions (Markovsky, 1953(Markovsky, , 1954a(Markovsky, , 1955Mordukhay-Boltovskoy, 1960;Shokhin et al, 2006;Zhadin, 1931). These communities were relatively species-poor, containing only Adacna Within the central-eastern parts of the Taganrog Bay today an impoverished version of the community exists (lacking Hypanis) that is often termed Monodacna community (Nekrasova, 1972;Stark, 1960;Vorobyev, 1949).…”

Section: Habitats Of Pontocaspian Species and Communities In The Black Sea Basinmentioning

confidence: 99%

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Decline of unique Pontocaspian biodiversity in the Black Sea Basin: A review

Gogaladze

Son

Lattuada

et al. 2021

Ecology and Evolution

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Section: Resultsmentioning

confidence: 99%

Section: Tsimlyansk Reservoirmentioning

confidence: 99%

Section: Habitats Of Pontocaspian Species and Communities In The Black Sea Basinmentioning

confidence: 99%

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Decline of unique Pontocaspian biodiversity in the Black Sea Basin: A review

Gogaladze

Son

Lattuada

et al. 2021

Ecology and Evolution

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“…The study area is the same region where we had previously worked with MERIS data [12][13][14]-the Sea of Azov, a shallow inland sea north of the Black Sea, adjoined by Russia on the east and Ukraine on the west, and Taganrog Bay, which is located on the northeastern part of the Sea of Azov (figure 1). These water bodies are shallow, with low salinity and high influx of nutrients from several surrounding rivers that run through industrial and agricultural land, often resulting in eutrophic and hypertrophic conditions, especially in Taganrog Bay, where algal blooms are common [18][19][20]. We have previously [14] described the suitability of these waters for testing remote sensing algorithms for retrieving coastal water quality products.…”

Section: Study Area and In Situ Measurementsmentioning

confidence: 99%

OLCI-based NIR-red models for estimating chlorophyll- a concentration in productive coastal waters—a preliminary evaluation

Moses

Saprygin

Gerasyuk

et al. 2019

Environ. Res. Commun.

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We present here results that demonstrate the potential of the recently launched Ocean and Land Colour Instrument (OLCI) onboard the satellite Sentinel-3A to deliver accurate estimates of chlorophyll-a (chl-a) concentration in coastal waters using reflectances in the red and near-infrared (NIR) spectral regions. Two-band and three-band NIR-red models that were previously used for data from the MEdium Resolution Imaging Spectrometer (MERIS) were applied to OLCI data from the Sea of Azov and the Taganrog Bay, Russia. Atmospherically corrected reflectance data from OLCI were compared to in situ reflectance data collected concurrently with a field spectrometer. Results show that the default atmospheric correction procedure currently applied to OLCI data performs well in preserving the spectral shape of chl-a-specific reflectance features in the red and NIR regions. Similar to what was achieved with MERIS data, the NIR-red models yield accurate estimates of chl-a concentration, with accuracies on the order of 90%, though the parameters of the NIR-red algorithms based on OLCI data are slightly different from what was obtained with MERIS data. More data, from various geographical locations, need to be analyzed to establish robust NIR-red algorithms for OLCI data.

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“…The rapid industrial development in the watershed area in recent years has resulted in increased influx of terrigenous nutrients into the bay [15], leading to enhanced eutrophication. Variations in the freshwater input through precipitation and fluvial runoff affect the spatiotemporal dynamics of the algal population and the species diversity in the bay [16]. Changes in the algal biomass and the species composition have consequent effects on the fish population.…”

Section: A Study Area and In Situ Measurementsmentioning

confidence: 99%

HICO-Based NIR–Red Models for Estimating Chlorophyll- $a$ Concentration in Productive Coastal Waters

Moses

Gitelson

Berdnikov

et al. 2014

IEEE Geosci. Remote Sensing Lett.

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We present here results that demonstrate the potential of near-infrared (NIR)-red models to estimate chlorophyll-a (chl-a) concentration in coastal waters using data from the spaceborne Hyperspectral Imager for the Coastal Ocean (HICO). Since the recent demise of the MEdium Resolution Imaging Spectrometer (MERIS), the use of sensors such as HICO has become critical for coastal ocean color research. Algorithms based on two-and three-band NIR-red models, which were previously used very successfully with MERIS data, were applied to HICO images. The two-and three-band NIR-red algorithms yielded accurate estimates of chl-a concentration, with mean absolute errors that were only 10.92% and 9.58%, respectively, of the total range of chl-a concentrations measured over a period of several months in 2012 and 2013 on the Taganrog Bay in Russia. Given the uncertainties in the radiometric calibration of HICO, the results illustrate the robustness of the NIR-red algorithms and validate the radiometric, spectral, and atmospheric corrections applied to HICO data as they relate to estimating chl-a concentration in productive coastal waters. Inherent limitations due to the characteristics of the sensor and its orbit prohibit HICO from providing anywhere near the level of frequent global coverage as provided by standard multispectral ocean color sensors. Nevertheless, the results demonstrate the utility of HICO as a tool for determining water quality in select coastal areas and the cross-sensor applicability of NIR-red models and provide an indication of what could be achieved with future spaceborne hyperspectral sensors in estimating coastal water quality.

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The present-day condition and regularities of the distribution of the bottom communities in Taganrog Bay

Cited by 8 publications

References 0 publications

Decline of unique Pontocaspian biodiversity in the Black Sea Basin: A review

Decline of unique Pontocaspian biodiversity in the Black Sea Basin: A review

OLCI-based NIR-red models for estimating chlorophyll- a concentration in productive coastal waters—a preliminary evaluation

HICO-Based NIR–Red Models for Estimating Chlorophyll- $a$ Concentration in Productive Coastal Waters

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