Importance of biological and abiotic factors for geochemical cycling in a freshwater eutrophic lake

Krivtsov, Vladimir; Sigee, David C.

doi:10.1007/s10533-004-4255-z

Cited by 16 publications

(7 citation statements)

References 47 publications

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“…These findings are probably common to eutrophic fluvial lakes with continuous nutrient loading from upstream [47,48], but they contrast with the results reported for lentic shallow basins, in which internal load and recycling are often more important than external sources of nutrients and the uptake by primary producers reduces dissolved nutrients [49,50]. In the Superior Lake of Mantua, the longer residence time during summer 2007 resulted in higher chlorophyll-a and lower inorganic nutrient concentrations in the water column.…”

Section: Primary Producers and Physico-chemical Characterizationmentioning

confidence: 76%

Assessing Potential Algal Blooms in a Shallow Fluvial Lake by Combining Hydrodynamic Modelling and Remote-Sensed Images

Pinardi

Fenocchi

Giardino

et al. 2015

Water

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Shallow fluvial lakes are dynamic ecosystems shaped by physical and biological factors and characterized by the coexistence of phytoplankton and macrophytes. Due to multiple interplaying factors, understanding the distribution of phytoplankton in fluvial lakes is a complex but fundamental issue, in the context of increasing eutrophication, climate change, and multiple water uses. We analyze the distribution of phytoplankton by combining remotely sensed maps of chlorophyll-a with a hydrodynamic model in a dammed fluvial lake (Mantua Superior Lake, Northern Italy). The numerical simulation of different conditions shows that the main hydrodynamic effects which influence algal distribution are related to the combined effect of advection due to wind forces and local currents, as well as to the presence of large gyres which induce recirculation and stagnation regions, favoring phytoplankton accumulation. Therefore, the general characters of the phytoplankton horizontal patchiness can be inferred from the results of the hydrodynamic model. Conversely, hyperspectral remote-sensing products can be used to validate this model, as they provide chlorophyll-a distribution maps. The integration of ecological, hydraulic, and remote-sensing techniques may therefore help the monitoring and protection OPEN ACCESSWater 2015, 7 1922of inland water quality, with important improvements in management actions by policy makers.

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Section: Primary Producers and Physico-chemical Characterizationmentioning

confidence: 76%

Assessing Potential Algal Blooms in a Shallow Fluvial Lake by Combining Hydrodynamic Modelling and Remote-Sensed Images

Pinardi

Fenocchi

Giardino

et al. 2015

Water

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“…Nutrient uptake by primary producers only accounted for 10% of imported DIN loads, whereas estimated SRP incorporation into phytoplankton and T. natans accounted for a higher percentage of reactive P input, up to *60%. These findings are probably common in eutrophic fluvial lakes where elevated nutrient loads are transported through the system (Krivtsov and Sigee 2005;Yamamuro et al 2006). However, they are in contrast with those reported for more lentic shallow basins, where the internal load and recycling are often more important than external sources of nutrients and where the uptake by phytoplankton, macrophytes and their attached epiphytes significantly reduces dissolved nutrients (Ekholm et al 1997;Burger et al 2007).…”

Section: Metabolism and Internal Processes In Middle Lakementioning

confidence: 94%

Net autotrophy in a fluvial lake: the relative role of phytoplankton and floating-leaved macrophytes

et al. 2011

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This study combined water-and sediment flux measurements with mass balances of dissolved gas and inorganic matter to determine the importance of pelagic and benthic processes for whole-system metabolism in a eutrophic fluvial lake. Mass balances of dissolved O 2 , inorganic carbon (DIC), nitrogen (DIN), phosphorous (SRP), particulate N (PN) and P (PP) and Chl a were calculated at a nearly monthly frequency by means of repeated sampling at the lake inlet and outlet. Simultaneously, benthic fluxes of gas and nutrients, including denitrification rates, and the biomass of the dominant pleustophyte (Trapa natans) were measured, and fluxes of O 2 and CO 2 across the water-atmosphere interface were estimated from diel changes in outlet concentrations. On an annual scale, Middle Lake exhibited CO 2 supersaturation, averaging 313% (range 86-562%), but was autotrophic with a net O 2 production (6.35 ± 2.05 mol m -2 y -1 ), DIC consumption (-31.18 ± 18.77 mol m -2 y -1 ) and net export of Chl a downstream (8.38 ± 0.95 mol C m -2 y -1 ). Phytoplankton was the main driver of Middle Lake metabolism, with a net primary production estimated at 33.24 mol O 2 m -2 y -1 , corresponding to a sequestration of 4.18 and 0.26 mol m -2 y -1 of N and P, respectively. At peak biomass, T. natans covered about 18% of Middle Lake's surface and fixed 2.46, 0.17 and 0.02 mol m -2 of C, N and P, respectively. Surficial sediments were a sink for O 2 (-14.47 ± 0.65 mol O 2 m -2 y -1 ) and a source of DIC and NH 4 ? (18.84 ± 2.80 mol DIC m -2 y -1 and 0.83 ± 0.16 mol NH 4 ? m -2 y -1 ), and dissipated nitrate via denitrification (1.44 ± 0.11 mol NO 3 -m -2 y -1 ). Overall, nutrient uptake by primary producers and regeneration from sediments were a minor fraction of external loads. This work suggests that the creation of fluvial lakes can produce net autotrophic systems, with elevated rates of phytoplanktonic primary production, largely sustained by allochtonous nutrient inputs. These hypereutrophic aquatic bodies are net C sinks, although they simultaneously release CO 2 to the atmosphere.

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“…In addition, groundwater discharge, which is regarded as a synonym of pore water in water-saturated sediments 45 , could be regarded as an additional source of major ions in the pore water. In the view of Krivtsov and Sigee 46 , certain combinations of meteorological and hydrological parameters could cause groundwater percolation to the reservoir’s ecosystem, even through a low-permeable layer of clay deposits. Hence, percolation of more mineralization groundwater may be expected to affect the ionic composition of the sediment pore water.…”

Section: Discussionmentioning

confidence: 99%

Hydrochemistry of sediment pore water in the Bratsk reservoir (Baikal region, Russia)

Poletaeva

Tirskikh

Pastukhov

2021

Sci Rep

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This study aimed to identify the factors responsible for the major ion composition of pore water from the bottom sediments of the Bratsk water reservoir, which is part of the largest freshwater Baikal-Angara water system. In the Bratsk reservoir, the overlying water was characterized as HCO3–Ca–Mg type with the mineralization ranging between 101.2 and 127.7 mg L−1 and pore water was characterized as HCO3–SO4–Ca, SO4–Cl–Ca–Mg and mixed water types, which had mineralization varying from 165.9 to 4608.1 mg L−1. The ionic composition of pore waters varied both along the sediment depth profile and across the water area. In pore water, the difference between the highest and lowest values was remarkably large: 5.1 times for K+, 13 times for Mg2+, 16 times for HCO3−, 20 times for Ca2+, 23 times for Na+, 80 times for SO42−, 105 times for Cl−. Such variability at different sites of the reservoir was due to the interrelation between major ion concentrations in the pore water and environmental parameters. The major factor responsible for pore water chemistry was the dissolution of sediment-forming material coming from various geochemical provinces. In the south part of the reservoir, Cl−, Na+ and SO42− concentrations may significantly increase in pore water due to the effect of subaqueous flow of highly mineralized groundwater.

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Importance of biological and abiotic factors for geochemical cycling in a freshwater eutrophic lake

Cited by 16 publications

References 47 publications

Assessing Potential Algal Blooms in a Shallow Fluvial Lake by Combining Hydrodynamic Modelling and Remote-Sensed Images

Assessing Potential Algal Blooms in a Shallow Fluvial Lake by Combining Hydrodynamic Modelling and Remote-Sensed Images

Net autotrophy in a fluvial lake: the relative role of phytoplankton and floating-leaved macrophytes

Hydrochemistry of sediment pore water in the Bratsk reservoir (Baikal region, Russia)

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