The impact of phosphorus on phytoplankton growth in Barguzin Bay of Lake Baikal

2021 ◽  
Author(s):  
Bair Tsydenov
Keyword(s):  
Lake Baikal ◽  
Phytoplankton Growth ◽  
The Impact

INTEGRAL ASSESSMENT OF ANTHROPOGENIC PRESSURE ON WATER BODIES IN THE LAKE BAIKAL BASIN

2020 ◽  
Author(s):  
Irina Ulzetueva ◽  
Bair Gomboev ◽  
Daba Zhamyanov ◽  
Valentin Batomunkuev ◽  
Zorikto Banzaraktsaev
Keyword(s):  
Lake Baikal ◽  
River Basins ◽  
Anthropogenic Load ◽  
Anthropogenic Pressure ◽  
Linear Network ◽  
Baikal Basin ◽  
Discharge Water ◽  
Lake Baikal Basin ◽  
Integral Assessment ◽  
The Impact

The integrated assessment of the ecological state of the main rivers of the lake Baikal basin - Verkhnyaya Angara, Tyya, Barguzin, Selenga, Snezhnaya, Bolshaya Rechka, Khilok, Chikoy is based on the assessment of the variability of the basin system under the influence of two groups of indicators: 1) Direct (immediate) impact - the volume of water intake and wastewater discharge, water use and sequential water supply. Assessment of the impact on the state of the above-listed rivers basins from wastewater was performed using the algorithm proposed by A. Korolev et al. (2007). 2) Indirect (mediate) impact - indicators of areal and linear-network impacts on the catchment area. Based on the calculation of the integral anthropogenic pressure on the territory of the above-listed river basins, only the Selenga river experiences an “average” anthropogenic load. On the territory of most river basins, the anthropogenic load is “lowered” and “low”.

The impact of large lakes on climate in the past: a possible scenario for Lake Baikal

Hydrobiologia ◽  
2006 ◽  
Vol 568 (S1) ◽  
pp. 249-252 ◽  
Author(s):  
V. A. Obolkin ◽  
V. L. Potemkin
Keyword(s):  
Lake Baikal ◽  
Large Lakes ◽  
The Past ◽  
The Impact

Mapping of the transport-ecological complex of the Baikal lake basin

2018 ◽  
Vol 931 (1) ◽  
pp. 32-38
Author(s):  
T.B. Dashpilov
Keyword(s):  
Lake Baikal ◽  
Transport Systems ◽  
Semantic Classification ◽  
Baikal Basin ◽  
Water Transportation ◽  
Lake Baikal Basin ◽  
Transport Maps ◽  
Transport Complex ◽  
The Impact

To create transport maps, we need detailed mapping of all objects, processes, phenomena, and interactions of the transport complex. For these purposes a semantic classification of cartographic signs transport systems of the region was developed. We analyzed a large number of maps of various geographical atlases of different territorial level. This semantic classification of transport maps ordered the structure of their thematic layers and the system of transport mapping in general. To display the impact of transport on the environment by several semantic parameters were selected. They characterize directly the transport complex and its separate indicators of impact of transport on the environment. A map of transport impact on the environment within the Lake Baikal basin was created. Using the maps, as well as other literary and statistical sources, we analyzed the transport impact within the Baikal basin. This analysis led to the conclusion that the greatest pollution of Lake Baikal basin comes from road and water transportation means.

scholarly journals Summer coastal rookeries and perspectives of the Baikal seal (Pusa sibirica) population in the conditions of the global warming

2021 ◽  
Vol 29 (4) ◽  
pp. 387-392
Author(s):  
E. A. Petrov ◽  
A. B. Kupchinsky ◽  
V. A. Fialkov
Keyword(s):  
Lake Baikal ◽  
Climate Warming ◽  
Negative Impact ◽  
Relative Number ◽  
The Body ◽  
Satellite Monitoring ◽  
Seal Population ◽  
Ice Regime ◽  
To Come ◽  
The Impact

Based on the secondary literature, a retrospective characterization of the climate in the Baikal region, starting from the end of the Pleistocene, is given. According to satellite monitoring data, the characteristics of the ice regime of the Lake Baikal in the conditions of climate warming are presented. Moreover, we briefly discuss the impact of climate change on the ecology and biology of the Baikal seal (Pusa sibirica Gm.). Using video materials obtained online at one of the main island coastal rookeries of seals (on the island of Tonkyi, the archipelago of the Ushkany Islands, Lake Baikal) in 2011–2017, the dependence of the number of seals hauled out on the lake level and the peculiarities of the fishing regime was determined (the survey was conducted from May–June to October). A direct relationship was determined between the relative number of animals that had a moulting delay and the ice regime of a given year: the longer the floating ice in the northern part of Lake Baikal remained, the more numerous were the first approaches of seals to the studied rookery and the greater was the proportion of moulting individuals. It is reasonable to assume that the main reason for the Baikal seal to come ashore is not prolongued moulting time, but a physiological need for sunlight, which has a healing effect on the body of animals that lack solar radiation in winter. In general, climate warming has a negative impact on the state of the Baikal seal population. The available paleoclimatic reconstructions of the Holocene indicate that the population of the Baikal seal has experienced a lot of climate changes in its history. Nevertheless, if the current trends of climatic changes persist until the end of the 21st century, the ecology and biology of the seal will drastically change (up to the beginning of terrestrial reproduction), and the population will significantly decrease. However, the Baikal seal as a species would remain.

Modelling sub-daily phytoplankton dynamics and analysing primary production controls in the lower Thames catchment, UK

2020 ◽  
Author(s):  
Devanshi Pathak ◽  
Michael Hutchins ◽  
François Edwards
Keyword(s):  
Water Quality ◽  
Primary Production ◽  
Water Temperature ◽  
High Frequency ◽  
Phytoplankton Growth ◽  
Quality Data ◽  
Phytoplankton Dynamics ◽  
Water Quality Data ◽  
River Thames ◽  
The Impact

<p>River phytoplankton provide food for primary consumers, and are a major source of oxygen in many rivers. However, high phytoplankton concentrations can hamper river water quality and ecosystem functioning, making it crucial to predict and prevent harmful phytoplankton growth in rivers. In this study, we modify an existing mechanistic water quality model to simulate sub-daily changes in water quality, and present its application in the River Thames catchment. So far, the modelling studies in the River Thames have focused on daily to weekly time-steps, and have shown limited predictive ability in modelling phytoplankton concentrations. With the availability of high-frequency water quality data, modelling tools can be improved to better understand process interactions for phytoplankton growth in dynamic rivers. The modified model in this study uses high-frequency water quality data along a 62 km stretch in the lower Thames to simulate river flows, water temperature, nutrients, and phytoplankton concentrations at sub-daily time-steps for 2013-14. Model performance is judged by percentage error in mean and Nash-Sutcliffe Efficiency (NSE) statistics. The model satisfactorily simulates the observed diurnal variability and transport of phytoplankton concentrations within the river stretch, with NSE values greater than 0.7 at all calibration sites. Phytoplankton blooms develop within an optimum range of flows (16-81 m<sup>3</sup>/s) and temperature (11-18° C), and are largely influenced by phytoplankton growth and death rate parameters. We find that phytoplankton growth in the lower Thames is mainly limited by physical controls such as residence time, light, and water temperature, and show some nutrient limitation arising from phosphorus depletion in summer. The model is tested under different future scenarios to evaluate the impact of changes in climate and management conditions on primary production and its controls. Our findings provide support for the argument that the sub-daily modelling of phytoplankton is a step forward in better prediction and management of phytoplankton dynamics in river systems.</p>

Thermal stratification, nutrient dynamics, and phytoplankton productivity during the onset of spring phytoplankton growth in Lake Baikal, Russia

Hydrobiologia ◽  
1996 ◽  
Vol 331 (1-3) ◽  
pp. 9-24 ◽  
Author(s):  
Charles R. Goldman ◽  
James J. Elser ◽  
Robert C. Richards ◽  
John E. Reuters ◽  
John C. Priscu ◽  
...  
Keyword(s):  
Lake Baikal ◽  
Thermal Stratification ◽  
Nutrient Dynamics ◽  
Phytoplankton Growth ◽  
Phytoplankton Productivity
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