Готові списки джерел за темами / Heterogeneity in phytoplankton stoichiometry

Добірка наукової літератури з теми "Heterogeneity in phytoplankton stoichiometry"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 29 січня 2023

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Статті в журналах з теми "Heterogeneity in phytoplankton stoichiometry"

1

Paul, Allanah Joy, Lennart Thomas Bach, Javier Arístegui, Elisabeth von der Esch, Nauzet Hernández-Hernández, Jonna Piiparinen, Laura Ramajo, Kristian Spilling, and Ulf Riebesell. "Upwelled plankton community modulates surface bloom succession and nutrient availability in a natural plankton assemblage." Biogeosciences 19, no. 24 (December 21, 2022): 5911–26. http://dx.doi.org/10.5194/bg-19-5911-2022.

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Abstract. Upwelling of nutrient-rich waters into the sunlit surface layer of the ocean supports high primary productivity in eastern boundary upwelling systems (EBUSs). However, subsurface waters contain not only macronutrients (N, P, Si) but also micronutrients, organic matter and seed microbial communities that may modify the response to macronutrient inputs via upwelling. These additional factors are often neglected when investigating upwelling impacts on surface ocean productivity. Here, we investigated how different components of upwelled water (macronutrients, organic nutrients and seed communities) drive the response of surface plankton communities to upwelling in the Peruvian coastal zone. Results from our short-term (10 d) study show that the most influential drivers in upwelled deep water are (1) the ratio of inorganic nutrients (NOx : PO43-) and (2) the microbial community present that can seed heterogeneity in phytoplankton succession and modify the stoichiometry of residual inorganic nutrients after phytoplankton blooms. Hence, this study suggests that phytoplankton succession after upwelling is modified by factors other than the physical supply of inorganic nutrients. This would likely affect trophic transfer and overall productivity in these highly fertile marine ecosystems.
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Conan, Pascal, Mireille Pujo-Pay, Marina Agab, Laura Calva-Benítez, Sandrine Chifflet, Pascal Douillet, Claire Dussud, et al. "Biogeochemical cycling and phyto- and bacterioplankton communities in a large and shallow tropical lagoon (Términos Lagoon, Mexico) under 2009–2010 El Niño Modoki drought conditions." Biogeosciences 14, no. 4 (March 2, 2017): 959–75. http://dx.doi.org/10.5194/bg-14-959-2017.

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Abstract. The 2009–2010 period was marked by an episode of intense drought known as the El Niño Modoki event. Sampling of the Términos Lagoon (Mexico) was carried out in November 2009 in order to understand the influence of these particular environmental conditions on organic matter fluxes within the lagoon's pelagic ecosystem and, more specifically, on the relationship between phyto- and bacterioplankton communities. The measurements presented here concern biogeochemical parameters (nutrients, dissolved and particulate organic matter [POM], and dissolved polycyclic aromatic hydrocarbons [PAHs]), phytoplankton (biomass and photosynthesis), and bacteria (diversity and abundance, including PAH degradation bacteria and ectoenzymatic activities). During the studied period, the water column of the Términos Lagoon functioned globally as a sink and, more precisely, as a nitrogen assimilator. This was due to the high production of particulate and dissolved organic matter (DOM), even though exportation of autochthonous matter to the Gulf of Mexico was weak. We found that bottom-up control accounted for a large portion of the variability of phytoplankton productivity. Nitrogen and phosphorus stoichiometry mostly accounted for the heterogeneity in phytoplankton and free-living prokaryote distribution in the lagoon. In the eastern part, we found a clear decoupling between areas enriched in dissolved inorganic nitrogen near the Puerto Real coastal inlet and areas enriched in phosphate (PO4) near the Candelaria estuary. Such a decoupling limited the potential for primary production, resulting in an accumulation of dissolved organic carbon and nitrogen (DOC and DON, respectively) near the river mouths. In the western part of the lagoon, maximal phytoplankton development resulted from bacterial activity transforming particulate organic phosphorus (PP) and dissolved organic phosphorus (DOP) to available PO4 and the coupling between Palizada River inputs of nitrate (NO3) and PP. The Chumpan River contributed only marginally to PO4 inputs due to its very low contribution to overall river inputs. The highest dissolved total PAH concentrations were measured in the El Carmen Inlet, suggesting that the anthropogenic pollution of the zone is probably related to the oil-platform exploitation activities in the shallow waters of the southern of the Gulf of Mexico. We also found that a complex array of biogeochemical and phytoplanktonic parameters were the driving force behind the geographical distribution of bacterial community structure and activities. Finally, we showed that nutrients brought by the Palizada River supported an abundant bacterial community of PAH degraders, which are of significance in this important oil-production zone.
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3

Klausmeier, C. A., E. Litchman, T. Daufresne, and S. A. Levin. "Phytoplankton stoichiometry." Ecological Research 23, no. 3 (March 6, 2008): 479–85. http://dx.doi.org/10.1007/s11284-008-0470-8.

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4

Klausmeier, Christopher A., Elena Litchman, Tanguy Daufresne, and Simon A. Levin. "Optimal nitrogen-to-phosphorus stoichiometry of phytoplankton." Nature 429, no. 6988 (May 2004): 171–74. http://dx.doi.org/10.1038/nature02454.

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Quigg, Antonietta, Andrew J. Irwin, and Zoe V. Finkel. "Evolutionary inheritance of elemental stoichiometry in phytoplankton." Proceedings of the Royal Society B: Biological Sciences 278, no. 1705 (September 8, 2010): 526–34. http://dx.doi.org/10.1098/rspb.2010.1356.

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The elemental composition of phytoplankton is a fusion of the evolutionary history of the host and plastid, resulting in differences in genetic constraints and selection pressures associated with environmental conditions. The evolutionary inheritance hypothesis predicts similarities in elemental composition within related taxonomic lineages of phytoplankton. To test this hypothesis, we measured the elemental composition (C, N, P, S, K, Mg, Ca, Sr, Fe, Mn, Zn, Cu, Co, Cd and Mo) of 14 phytoplankton species and combined these with published data from 15 more species from both marine and freshwater environments grown under nutrient-replete conditions. The largest differences in the elemental profiles of the species distinguish between the prokaryotic Cyanophyta and primary endosymbiotic events that resulted in the green and red plastid lineages. Smaller differences in trace element stoichiometry within the red and green plastid lineages are consistent with changes in trace elemental stoichiometry owing to the processes associated with secondary endosymbioses and inheritance by descent with modification.
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Bahamondes Dominguez, Angela A., Anna E. Hickman, Robert Marsh, and C. Mark Moore. "Constraining the response of phytoplankton to zooplankton grazing and photo-acclimation in a temperate shelf sea with a 1-D model – towards S2P3 v8.0." Geoscientific Model Development 13, no. 9 (September 4, 2020): 4019–40. http://dx.doi.org/10.5194/gmd-13-4019-2020.

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Abstract. An established one-dimensional Shelf Sea Physics and Primary Production (S2P3) model has been developed into three different new models: S2P3-NPZ which includes a nutrient–phytoplankton–zooplankton (NPZ) framework, where the grazing rate is no longer fixed but instead varies over time depending on different functions chosen to represent the predator–prey relationship between zooplankton and phytoplankton; S2P3-Photoacclim which includes a representation of the process of photo-acclimation and flexible stoichiometry in phytoplankton; and S2P3 v8.0 which combines the NPZ framework and the variable stoichiometry of phytoplankton at the same time. These model formulations are compared to buoy and conductivity–temperature–depth (CTD) observations, as well as zooplankton biomass and in situ phytoplankton physiological parameters obtained in the central Celtic Sea (CCS). Models were calibrated by comparison to observations of the timing and magnitude of the spring phytoplankton bloom, magnitude of the spring zooplankton bloom, and phytoplankton physiological parameters obtained throughout the water column. A sensitivity study was also performed for each model to understand the effects of individual parameters on model dynamics. Results demonstrate that better agreement with biological observations can be obtained through the addition of representations of photo-acclimation, flexible stoichiometry, and grazing provided these can be adequately constrained.
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Wagner, Nicole D., Felicia S. Osburn, Jingyu Wang, Raegyn B. Taylor, Ashlynn R. Boedecker, C. Kevin Chambliss, Bryan W. Brooks, and J. Thad Scott. "Biological Stoichiometry Regulates Toxin Production in Microcystis aeruginosa (UTEX 2385)." Toxins 11, no. 10 (October 16, 2019): 601. http://dx.doi.org/10.3390/toxins11100601.

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Harmful algal blooms (HABs) are increasing in magnitude, frequency, and duration globally. Even though a limited number of phytoplankton species can be toxic, they are becoming one of the greatest water quality threats to public health and ecosystems due to their intrinsic toxicity to humans and the numerous interacting factors that undermine HAB forecasting. Here, we show that the carbon:nitrogen:phosphorus (C:N:P) stoichiometry of a common toxic phytoplankton species, Microcystis, regulates toxin quotas during blooms through a tradeoff between primary and secondary metabolism. Populations with optimal C:N (< 8) and C:P (< 200) cellular stoichiometry consistently produced more toxins than populations exhibiting stoichiometric plasticity. Phosphorus availability in water exerted a strong control on population biomass and C:P stoichiometry, but N availability exerted a stronger control on toxin quotas by regulating population biomass and C:N:P stoichiometry. Microcystin-LR, like many phytoplankton toxins, is an N-rich secondary metabolite with a C:N stoichiometry that is similar to the optimal growth stoichiometry of Microcystis. Thus, N availability relative to P and light provides a dual regulatory mechanism that controls both biomass production and cellular toxin synthesis. Overall, our results provide a quantitative framework for improving forecasting of toxin production during HABs and compelling support for water quality management that limit both N and P inputs from anthropogenic sources.
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Gormley-Gallagher, Aine M., Richard W. Douglas, and Brian Rippey. "Metal to phosphorus stoichiometries for freshwater phytoplankton in three remote lakes." PeerJ 4 (December 20, 2016): e2749. http://dx.doi.org/10.7717/peerj.2749.

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Simultaneous measurements of changes in phytoplankton biomass and the metal and phosphorus (P) content of cells have been captured to attest to metal to P stoichiometries for freshwater phytoplankton. Three Scottish lakes that had received high, medium or low metal contamination from the atmosphere were selected for study. Phytoplankton cells were collected and Inductively Coupled Plasma-Mass Spectrometry was used to measure their lead (Pb), cadmium (Cd), mercury (Hg), copper (Cu), zinc (Zn), nickel (Ni), chromium (Cr), manganese (Mn), cobalt (Co) and P content. Increased phytoplankton growth in the lakes resulted in significant algae growth dilution of the mass-specific Pb, Cd, Hg, Cu, Ni and Cr in the phytoplankton. Changes in the phytoplankton cell count and their Hg, Pb, Cd, Cu, Mn, Co, Ni and Cr concentrations showed the process of algae bloom dilution to be subject to exponential decay, which accelerated in the order of Mn < Cu < Ni < Pb and Cd < Cr and Hg < Co. This indicated a metabolic and detoxification mechanism was involved in the active selection of metals. For the first time simultaneous measurements of metals and P stoichiometry in freshwater phytoplankton are reported. The mean metal to P stoichiometry generated was (C106P1N16)1000Pb0.019Hg0.00004Cu0.013Cd0.005Cr0.2Co0.0008Mn0.2Ni0.012based on field measurements and the Redfield average C, N and P stoichiometry of (CH2O)106(NH3)16H3PO4.
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李, 子尧. "Ecological Stoichiometry Characteristics of Phytoplankton in Taizicheng River." Advances in Environmental Protection 12, no. 02 (2022): 350–59. http://dx.doi.org/10.12677/aep.2022.122048.

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Martin, Ronald E., Antonietta Quigg, and Victor Podkovyrov. "Marine biodiversification in response to evolving phytoplankton stoichiometry." Palaeogeography, Palaeoclimatology, Palaeoecology 258, no. 4 (February 2008): 277–91. http://dx.doi.org/10.1016/j.palaeo.2007.11.003.

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Дисертації з теми "Heterogeneity in phytoplankton stoichiometry"

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Duckworth, Robyn M. "An Examination of the Cellular Partitioning of Phosphorus in Freshwater Phytoplankton." Bowling Green State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1256929878.

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Meyer, Judith [Verfasser]. "Changes in nutrient stoichiometry : phytoplankton & organic matter dynamics in coastal upwelling systems / Judith Meyer." Kiel : Universitätsbibliothek Kiel, 2016. http://d-nb.info/1111558612/34.

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Göthlich, Lena [Verfasser]. "Impacts of variable versus fixed phytoplankton stoichiometry on the dynamics of biogeochemical models / Lena Göthlich." Kiel : Universitätsbibliothek Kiel, 2012. http://d-nb.info/1029083843/34.

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Burren, Claire Louise. "A numerical modelling investigation of the impact of mesoscale heterogeneity on oceanic primary productivity." Thesis, University of Southampton, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239965.

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Murasko, Susan Mary. "Particulate carbon, nitrogen and phosphorus stoichiometry of south west Florida waters." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0003036.

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Dickman, Elizabeth M. "LIGHT, NUTRIENTS, AND PLANKTIVORY EFFECTS ON PHYTOPLANKTON COMMUNITY AND STOICHIOMETRIC RESPONSE, AND FOOD CHAIN EFFICIENCY." Miami University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=miami1186061847.

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Rock, Amber Marie. "Carnivore identity and nutrient supply ratio constraints on carryover effects and food chain efficiency." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1511372386895159.

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Hall, Mia Rachael. "THE EFFECTS OF LIGHT AND NUTRIENTS ON FOOD CHAIN EFFICIENCY IN THREE-LEVEL FOOD CHAINS WITH BLUEGILL." Miami University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=miami1344018242.

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Naddafi, Rahmat. "The Invasion of the Zebra Mussel - Effects on Phytoplankton Community Structure and Ecosystem Function." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis Acta Universitatis Upsaliensis, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8301.

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Bobson, Jennifer. "LIGHT, NUTRIENT, AND PLANKTIVORY EFFECTS ON ZOOPLANKTON COMMUNITIES AND FOOD CHAIN EFFICIENCY." Miami University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=miami1196177192.

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Частини книг з теми "Heterogeneity in phytoplankton stoichiometry"

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Dashkova, Veronika, Jeff Clapper, Ivan A. Vorobjev, and Natasha S. Barteneva. "Spectral and Imaging Flow Cytometry in Phytoplankton Research." In Cellular Heterogeneity, 83–95. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7680-5_5.

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Thakur, Nilesh Kumar, Ranjit Kumar Upadhyay, and Sharada Nandan Raw. "Instabilities and Patterns in Zooplankton-Phytoplankton Dynamics: Effect of Spatial Heterogeneity." In Mathematical Modelling and Scientific Computation, 229–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28926-2_24.

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Järvinen, Marko, Kalevi Salonen, Jouko Sarvala, Kristiina Vuorio, and Anne Virtanen. "The stoichiometry of particulate nutrients in Lake Tanganyika — implications for nutrient limitation of phytoplankton." In From Limnology to Fisheries: Lake Tanganyika and Other Large Lakes, 81–88. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-1622-2_8.

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Bianchi, Thomas S. "Organic Matter Cycling." In Biogeochemistry of Estuaries. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195160826.003.0017.

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In this chapter the general processes involved in controlling production and transformation of organic matter will be discussed as well as some of the associated stoichiometric changes of a few key biological elements (e.g., C, N, P, S). Stoichiometry is defined as the mass balance of chemical reactions as they relate to the law of definite proportions and conservation of mass (Sterner and Elser, 2002). For example, if we examine the average atomic ratios of C, N, and P in phytoplankton we see a relatively consistent ratio of 106:16:1 in most marine species. This is perhaps the best example of applied stoichiometric principles in natural ecosystems and is derived from the classic work of Alfred C. Redfield (1890–1983) (Redfield, 1958; Redfield et al., 1963). More specifically, Redfield compared the ratios of C, N, and P of dissolved nutrients in marine waters to that of suspended marine particulate matter (seston) (essentially phytoplankton) and found straight lines with equal slopes (figure 8.1; Redfield et al., 1963). This relationship suggested that marine biota were critical in determining the chemistry of the world ocean, clearly one of the most important historical findings linking chemical and biological oceanography (Falkowski, 2000). Moreover, the Redfield ratio has been further validated with recent data using improved analytical techniques (Karl et al., 1993; Hoppema and Goeyens, 1999). Other work has shown that there are predictable deviations from the Redfield ratio across a freshwater to open ocean marine gradient (figure 8.2; Downing, 1997). For example, N-to-P ratios in estuaries have commonly been shown to be lower and/or higher than the predicted Redfield ratio because of denitrification and anthropogenic nutrient enrichment processes, respectively. Inputs of vascular plant organic matter (e.g., mangroves, salt marshes, seagrasses) to estuarine systems presents another problem in causing deviations of C:N:P from the Redfield ratio. Vascular plants have been shown to deviate from this ratio in part because of relatively high amounts of C and N compared to algae due to a higher abundance of structural support molecules (e.g., cellulose, lignin) and defense antiherbivory (secondary) compounds (e.g., tannins), respectively (Vitousek et al., 1988).
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Тези доповідей конференцій з теми "Heterogeneity in phytoplankton stoichiometry"

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Tskhai, A. A., V. Yu Ageikov, and A. N. Semchukov. "Modeling of the spatial distribution of the components for the ecosystem of the Novosibirsk reservoir." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.84.73.067.

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The object of the study is the ecosystem of the largest in Western Siberia — the Novosibirsk reservoir. The aim of the study is forecast the response of hydrobiocenosis on the implementation of different methods for the aquatic ecosystem restoration. Novelty: structural-dynamics modeling of ecological processes based on the reproduction of biogeochemical cycles of limiting elements in the conditions of spatial heterogeneity for the reservoir is performed. A preliminary conclusion is formulating about the main role of autochthonous processes in the eutrophication of the Novosibirsk reservoir. A comparative assessment of the influence for three variants of washing the reservoir with a flood wave on the annual variability of the phytoplankton content and nitrate concentration in three characteristic parts of the Novosibirsk reservoir was carried out.
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2

Savenko, Alla, Alla Savenko, Oleg Pokrovsky, Oleg Pokrovsky, Irina Streletskaya, and Irina Streletskaya. "DISTRIBUTION OF DISSOLVED CHEMICAL ELEMENTS IN THE YENISEI RIVER ESTUARY AND ADJACENT WATER AREA OF THE KARA SEA." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b947e8aa678.89317861.

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The distribution of dissolved chemical elements (major ions, nutrients, and trace elements) in the Yenisei River estuary and adjacent water area in 2009 and 2010 are presented. These results were compared to the data obtained during previous hydrochemical studies of this region. The transport of major cations (Na, K, Mg, Ca) and some trace elements (Rb, Cs, Sr, B, F, As, Mo, U) in the estuary follows conservative mixing. Alkalinity also belongs to conservative components, however this parameter exhibits substantial spatial heterogeneity caused by complex hydrological structure of the Yenisei Bay and adjoining part of the Kara Sea formed under the influence of several sources of desalination and salty waters inflow. Concentrations of Pmin, Si, and V in the desalinized waters of photic layer decrease seaward owing to uptake by phytoplankton. The losses of these elements reach 30–57, 30, and 9% of their supply by river runoff, respectively. The content of dissolved phosphates and vanadium in the intermediate and near-bottom layers of the Yenisei River estuary strongly increases with salinity due to regeneration of precipitated organic matter, whereas silica remineralization is much less pronounced. Barium is characterized by additional input of dissolved forms in the mixing zone in the quantity comparable to that carried out by river runoff. This may be caused by its desorption from river suspended matter due to ion exchange. The transport of dissolved Al and Mn in the estuarine zone is probably controlled by the coagulation and flocculation of organic and organomineral colloids, which is indicated by a decrease in the concentration of these elements at the beginning of the estuary (31 and 56%, respectively) followed by a stable concentration further seaward.
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3

Savenko, Alla, Alla Savenko, Oleg Pokrovsky, Oleg Pokrovsky, Irina Streletskaya, and Irina Streletskaya. "DISTRIBUTION OF DISSOLVED CHEMICAL ELEMENTS IN THE YENISEI RIVER ESTUARY AND ADJACENT WATER AREA OF THE KARA SEA." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b43172445b0.

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Анотація:
The distribution of dissolved chemical elements (major ions, nutrients, and trace elements) in the Yenisei River estuary and adjacent water area in 2009 and 2010 are presented. These results were compared to the data obtained during previous hydrochemical studies of this region. The transport of major cations (Na, K, Mg, Ca) and some trace elements (Rb, Cs, Sr, B, F, As, Mo, U) in the estuary follows conservative mixing. Alkalinity also belongs to conservative components, however this parameter exhibits substantial spatial heterogeneity caused by complex hydrological structure of the Yenisei Bay and adjoining part of the Kara Sea formed under the influence of several sources of desalination and salty waters inflow. Concentrations of Pmin, Si, and V in the desalinized waters of photic layer decrease seaward owing to uptake by phytoplankton. The losses of these elements reach 30–57, 30, and 9% of their supply by river runoff, respectively. The content of dissolved phosphates and vanadium in the intermediate and near-bottom layers of the Yenisei River estuary strongly increases with salinity due to regeneration of precipitated organic matter, whereas silica remineralization is much less pronounced. Barium is characterized by additional input of dissolved forms in the mixing zone in the quantity comparable to that carried out by river runoff. This may be caused by its desorption from river suspended matter due to ion exchange. The transport of dissolved Al and Mn in the estuarine zone is probably controlled by the coagulation and flocculation of organic and organomineral colloids, which is indicated by a decrease in the concentration of these elements at the beginning of the estuary (31 and 56%, respectively) followed by a stable concentration further seaward.
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