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Gaevsky, Nikolai A.; Зотина, Т. А.; Gorbaneva, T. B.

doi:10.1023/a:1015609011227

Cited by 44 publications

(6 citation statements)

References 27 publications

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“…On the other hand, the model described the vertical distribution patterns of species as a result of a combined impact of external factors, although there was no statistical significance. The domination trend of P. contorta over the metalimnion, as a shade-adapted cyanobacteria, was similar to its vertical distribution pattern between 6 m and 10 m in the saline Lake Shira, depending on the percent ratio of surface irradiance Gaevsky et al, 2002;Kopylov et al, 2002). The centric diatom C. meneghiniana concentrates in the metalimnion and was responsible for deep chlorophyll maxima in Lake Tahoe as a result of light and buoyancy adaptations (Winder and Hunter, 2008).…”

Section: Discussionmentioning

confidence: 63%

Some factors affecting the abundance of phytoplankton in an unproductive alkaline lake (Lake Hazar, Turkey)

Koçer¹,

Şen²

2014

Turk J Bot

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This study aimed to explain the seasonal and vertical distribution of phytoplankton in the pelagic zone of a deep alkaline lake that is characterized by low phytoplankton abundance. Phytoplankton and water samples were collected seasonally from 9 points and 7 depths between the surface and 20 m from December 2004 to September 2005. Planktolyngbya contorta was the dominant or subdominant species in all seasons and depths. The dominance of Gomphonema species was observed in December, but they were subdominant in September. Cyclotella meneghiniana was dominant at 20 m and subdominant in the upper depths during March, June, and September. Melosira sp. and Meridion circulare were the dominant taxa of the surface phytoplankton in March and June, respectively. A nonparametric test showed the prevalence of cyanobacteria and green algae at a depth of 10 m. Principal component analysis showed the effect of temperature, pH, dissolved solids, nitrate, and silica on the abundance and distribution of phytoplankton. The generalized linear model revealed that high pH and high dissolved solids content seemed to affect the abundance of phytoplankton via limiting nutrient availability.

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Section: Discussionmentioning

confidence: 63%

Some factors affecting the abundance of phytoplankton in an unproductive alkaline lake (Lake Hazar, Turkey)

Koçer¹,

Şen²

2014

Turk J Bot

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“…Chlorophyll a (Chl a) was measured by the spectrophotometric method (APHA 1989). Gross primary production (GPP) (g O 2 m 23 h 21 ) was calculated based on the concentration of Chl a and relative variable fluorescence of planktonic algae, which were estimated by the DCMU-fluorescence method by the formula (Gaevsky et al 2002):…”

Section: Analyses Of Chlorophyll and Gross Primary Productionmentioning

confidence: 99%

Differences in organic matter and bacterioplankton between sections of the largest Arctic river: Mosaic or continuum?

Gladyshev

Kolmakova

Толомеев

et al. 2015

Limnology & Oceanography

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We studied biogeochemical characteristics, including organic carbon and nitrogen contents, fatty acid (FA) composition, stable isotope ratios, and primary production in conjunction with species composition of bacterioplankton, using next generation sequencing, in the Yenisei River along a distance ∼1800 km. Basing on FA composition of particulate organic matter (POM) and on other indicators of sources of POM, the river was subdivided into four sections. The upper section 1, situated in mountain region, was the net source of high‐quality autochthonous organic matter, produced primarily by diatoms and partly consumed by specialized bacteria species. Section 2 in plain taiga was net sink of high quality allochthonous and autochthonous organic matter, produced by cyanobacteria and green algae. Section 3 was net sink of organic matter, primarily allochthonous, consumed by the specialized species of bacteria. The lowest section 4, situated in tundra, was primarily the conduit of recalcitrant terrestrial organic matter, but also the net source of autochthonous organic matter, produced by diatoms. Biogeochemical traits of sections of the Yenisei River evidently shaped dominant species composition of bacterioplankton of these sections. Regarding the biogeochemical and microbiological data, we concluded that the Yenisei River ecosystem complexly combines features of river mosaic, river continuum, and “neutral pipe.”

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“…The photosynthetic activity coefficient (PhAC) changed less than ∑CHL, and it looked like a more stable parameter as well as photosynthesis measured via the oxygen flask method [8]. The same PhAC range was obtained for phytoplankton of the Yangtze River [30], Lake Shira [50], and earlier in reservoirs of the Upper Volga, including Rybinsk reservoir, which also had a low PhAC variation [25,26]. Like photosynthesis, PhAC is closely correlated with chlorophyll and shows changes in waters of different trophic states.…”

Section: Discussionmentioning

confidence: 56%

Chlorophyll Content and Photosynthetic Activity of Phytoplankton in Reservoirs of the Volga River (Russia)

Минеева¹,

Semadeni²

2023

Preprint

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Using the fluorescent method in the modification of Krasnoyarsk State University, we study development (as chlorophyll content, ∑CHL) and photosynthetic activity of phytoplankton in seven large flat reservoir of the Volga River cascade (Russia) in August 2915–2017. In period of maximal warming of water, average ∑CHL varied in limits of 19.4–33.7 μg L–1 in the Upper Volga, 8.5–27.8 μg L–1 in the Middle Volga, and 5.2–11.3 μg L–1 in the Lower Volga. Photosynthetic activity coefficient (PhAC) varied mostly in limits of 0.12–0.59 with average of 0.22–0.38 and only in 2017 decreased to minimal <0.10 and average <0.20. The average PhAC values shows the normal physiological state of the phytoplankton of the Upper Volga during all periods of observation, occasional decrease of PhAC in the Middle Volga, and low photosynthetic activity in the Lower Volga. A decrease in the average ∑Chl and PhAC in 2017 was under cyclonic windy weather with a large amount of precipitation, low solar radiation, and large volume of flow. Trend towards a decrease in ∑CHL, like decrease in PhAC from the Upper Volga to the Lower Volga is explained by increasing in the flow rate and volume of runoff downstream the Volga River.

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Untitled

Cited by 44 publications

References 27 publications

Some factors affecting the abundance of phytoplankton in an unproductive alkaline lake (Lake Hazar, Turkey)

Some factors affecting the abundance of phytoplankton in an unproductive alkaline lake (Lake Hazar, Turkey)

Differences in organic matter and bacterioplankton between sections of the largest Arctic river: Mosaic or continuum?

Chlorophyll Content and Photosynthetic Activity of Phytoplankton in Reservoirs of the Volga River (Russia)

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