New and rare macrophyte species of algae of the Commander Islands shelf (Russian Far East)

1999 ◽  
Vol 1 (3) ◽  
pp. 94-103 ◽  
Author(s):  
G. G. Zhigadlova ◽  
O. N. Selivanova
Author(s):  
N. S. Probatova

Six new taxa in the family Poaceae are described from the Russian Far East and from East Siberia: Deschampsia komandorensis Prob. (sect. Deschampsia) from Commander Islands (Bering Island, North-West Cape), Agrostis × avatschensis Prob. (A. kudoi Honda × A. mertensii Trin.) from Avachinskii Volcano in Kamchatka, Poa archarensis Prob. (sect. Stenopoa) (revealed chromosome number 2n = 28) from Amur Region and Yakutia, Poa × alexandrae Prob. (sect. Stenopoa) from Magadan Region, Hyalopoa amgunensis Prob. (H. aggr. lanatiflora) from Khabarovsk Territory (Amgun River basin), Poa turgensis Prob. (sect. Stenopoa) from Transbaikalia.


Author(s):  
N.G. Klochkova ◽  
◽  
T.A. Klochkova ◽  
A.V. Klimova ◽  
◽  
...  

We present results of revision based on our personal data and reports published from 1889 to 2020 on the red algal species composition from the Commander Islands. The general list includes 150 species. Six species are reported for the first time, including Phymatolithon lamii, Neoabbottiella valentinae, Callophyllis beringensis, Kallymeniopsis verrucosa, Velatocarpus kurilensis, and Mazzaella hemisphaerica. These species are illustrated by photographs of samples collected by us from Bering Island in September 2020. Another 15 red algal species reported from this area by different authors we attributed by us to doubtful and incorrectly identified taxa. The list of valid species is organized similarly to that in our recent paper on flora of the green and brown algae from the Commander Islands [Klochkova et al., 2020]. In the list, we cite papers containing information on species records from this area. For all species, information on their distribution frequency, depth, and some ecological and biological features are provided. It is shown that in contrast to many other regions of the Russian Far East, the Commander Islands are well studied from phycological and floristic aspects. This is due to seasonal and year-round investigations carried out in this region in different time periods, a thorough diving survey on the coastal area and more complete study on microepiphyte species composition, including microscopic red algae.


Author(s):  
Galina Kopylova ◽  
Aleksey Lyubushin ◽  
Larisa Taranova

A new technology for predicting strong earthquakes with a magnitude range of Mw about 7 and more is considered, based on the use of continuous recordings of seismic noise on a network of 21 broadband stations of the GS RAS in the region of the Kamchatka Peninsula, the Commander Islands and the Paramushir Island. The article is described a forecasting algorithm created by A.A. Lyubushin, IPE RAS, and the state of its implementation in the Kamchatka Division GS RAS for the purpose of an advance (months - first years) assessment of the strong earthquakes preparation sites. The data processing algorithm includes the calculation of four noise statistics time series for each station and the construction of their spatial distribution maps for different time intervals. We used four noise statistics, including the minimal entropy of the orthogonal wavelet coefficients squares and three characteristics of the multifractal spectrum of singularity – the generalized Hurst exponent, the carrier width, and the spectral wavelet exponent. Based on previous research, characteristic features of the four seismic noise statistics behavior at preparation stages of the local earthquakes 2013-2016 with Мw=6.6-8.3 were revealed, corresponding to similar changes before the two earthquakes with Мw=8.3 and 9.0 in Japan. It was found that an increase in the danger of a strong earthquake is accompanied by an increase in minimal entropy and a decrease in the carrier width and other parameters of the singularity spectrum. Since 2020, the processing of current data from the network of broadband stations of the GS RAS in the Far East region has been carried out in accordance with the seismic forecasting algorithm for drawing up quarterly forecast conclusions, which are sent to the Russian Expert Council on Earthquake Forecasting, Seismic Hazard and Risk Assessment (REC) and to Kamchatka Branch of REC


Author(s):  
N.G. Klochkova ◽  
◽  
T.A. Klochkova ◽  
A.V. Klimova ◽  
◽  
...  

In Commander Islands, the peculiar geographic location, hydrology and geomorphology contributed to de-velopment of a very peculiar algal floristic complex. First scientific information on species composition in this region appeared in XIX century. In this revision, we analyzed scientific publications containing algal floristic information from this region and composed list of species recorded during 1889–2020. We provided information about 52 green and 55 brown algal species recorded from the Commander Islands. The infor-mation concerning representatives of Laminariales is discussed in details, as they form basis of the underwa-ter vegetation. Our species list includes citations of references containing records from the Commander Is-lands and brief description of their biological and morphological characteristics. As we noted, in Russian Far East, Commander Islands belong to one of the few regions with highly examined algal flora.


2019 ◽  
pp. 27-33
Author(s):  
Aleksei K. Solovyov ◽  
Bi Guofu

The term “window” in architecture usually stands for an opening in a wall or roof for penetration of natural light, sunrays and fresh air in premises. Recently, the requirement of contact with environment is added to this condition. It is especially relevant for residential buildings where rooms are considered residential if they have windows. The energy consumption of a building depends on sizes, form and location of windows. In winter, windows cause huge heat losses, in summer, on the other hand, large heat enters a building via the windows and is required to be removed by means of air conditioning. Moreover, windows are used for penetration of natural light in premises, which assists in saving of large amounts of power for artificial illumination. This article discusses partial solving the problem of the energy efficiency of residential buildings by determining the most efficient area of windows in terms of energy spending for compensation of heat losses via windows in winter, elimination of heat penetration through them in summer and energy losses for artificial lighting throughout the year. The analysis of the results of calculation of power consumption for residential premises in conditions of monsoon climate of the Russian Far East and Northern areas of China (PRC) is provided.


2020 ◽  
Vol 13 (2) ◽  
pp. 216-242
Author(s):  
V.A. Yakimova ◽  
A.A. Orekhova

Subject. The article addresses the tax liabilities of taxpayers registered in the subjects of the Far Eastern Federal District, which should be paid to the consolidated budget of the Russian Federation, as well as the factors of the said debt growth. Objectives. Our aim is to assess the level of tax debt of regions of the Russian Far East and identify the correlation between the factors and the amount of tax debt. Methods. The study rests on methods of analysis, generalization, grouping, systematization, and the correlation and regression analysis. Results. We analyzed the level of tax debt for the entire Far Eastern Federal District and by region, identified factors affecting the growth of tax debt therein. The paper assesses the structure of tax debt by type of taxes and activity of debtors. The unveiled factors may help control changes in the size of tax debt in the Russian Far East and develop effective measures to improve the debt collection. Conclusions. The study shows that there is an increase in the tax debt in the regions of the Russian Far East, in the VAT in particular. The factor analysis revealed that the volume of sales of wholesale enterprises, investment in fixed capital, the consumer price index have the largest impact on the amount of tax debt.


2018 ◽  
Vol 65 ◽  
pp. 89-102
Author(s):  
Z.V. Kozhevnikova ◽  
◽  
A.E. Kozhevnikov ◽  

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