scholarly journals Sketch of the Urovsko-Bekov endemic

2021 ◽  
Vol 32 (8-9) ◽  
pp. 642-648
Author(s):  
N. Damperov
Keyword(s):  
Endemic Disease ◽  
Eastern Transbaikalia ◽  
Mountain Taiga

The mountain-taiga part of Eastern Transbaikalia, located between the rivers Shilka and Argunya, is struck by a peculiar endemic disease - Beck's disease, after the name of its main researcher, Urovskoy disease - after the name of the river where it is most pronounced.

Urov endemic disease: peculiarities of biogeochemical food chains

2020 ◽  
Author(s):  
Vadim Ermakov ◽  
Uliana Gulyaeva ◽  
Valentina Danilova ◽  
Vladimir Safonov ◽  
Sergey Tyutikov ◽  
...  
Keyword(s):  
Organic Matter ◽  
Chemical Elements ◽  
Basic Research ◽  
Biologically Active ◽  
Low Flow ◽  
Food Chains ◽  
Healthy Children ◽  
Endemic Disease ◽  
Eastern Transbaikalia ◽  
Beck Disease

<p>The comparative assessment of the levels of content and migration parameters of biologically active chemical elements in the biogeochemical food chains of the main localities of the Urov  endemic disease in the Eastern Transbaikalia: rocks-soils-plants-animal hair, milk was conducted. The differentiated polyelement microelementosis with an excess of Sr [1], Mn, Cr, Ni, in some cases – P, Ba, As, Zn  and deficiency of Se, J, Cu, and Mo is typical in Urov biogeochemical provinces of Eastern Transbaikalia against the background territories. Soil landscapes are not much different in content of selenium, but its migration in plants was reduced in places of spread of Urov disease. Parameters of migration of chemical elements in the soil-plant complex reflected on their content in wheat, hair cover of animals and milk cows. The sources of this imbalance are soil-forming rocks, specific conditions of soil formation (accumulation of organic matter in freezing soils of narrow valleys with a high degree of moisture and low flow, and selective concentration by plants). For floodplain soils with a high level of organic matter is characterized by a high content of micromycetes of the genus Fusarium as their species composition and abundance. The data obtained are consistent with the results of research by Chinese scientists on the assessment of the chemical elemental composition of hair in healthy children and with Urov Kashin-Beck pathology [2] and considered as risk factors in the genesis of this endemic disease.</p><div>Funding</div><div>This study was supported by the Russian Foundation for Basic Research, project No. 19-05-00054</div><div> </div><p>References</p><ol><li>Ermakov V.V., U. A. Gulyaeva, S. F. Tyutikov, T. G. Kuz’mina, and V. A. Safonov. Biogeochemistry of Calcium and Strontium in the Landscapes of Eastern Transbaikalia. Geochemistry International, 2017, 55 (12). P. 1105–1117. https://link.springer.com/article/10.1134%2FS0016702917090026</li> <li>Wang X., Ning Y., Zhang P., Li C., Zhou R., Guo X. Hair multi-bioelement profile of Kashin-Beck disease in the endemic regions of China. J Trace Elem Med Biol., 2019. 54 (July 2019). P. 79-97. https://rareomics.healx.io/disease/kashin-beck-disease.</li> </ol>

Peculiarities of the course of the postpartum period in domestic reindeer females, its morphophysiology and behavioral reactions in the North-East of Russia (Republic of Sakha)

2020 ◽  
pp. 99-105
Author(s):  
V. Fedorov ◽  
E. Sleptsov ◽  
K. Plemyashov
Keyword(s):  
Postpartum Period ◽  
Reproductive Function ◽  
Complex Problem ◽  
Climatic Conditions ◽  
Taiga Zone ◽  
Behavioral Reactions ◽  
North East ◽  
The North ◽  
The Republic ◽  
Mountain Taiga

A growth in the number of deer and an increase in their productivity are closely related to the solution of the complex problem of reproduction and rational use of deer females. Significant damage to reindeer husbandry is caused by the barrenness of northern domestic deer, the level of which has been quite high in recent years. So, in the Republic of Sakha, on 01.01.2020, the number of domesticated reindeer was 152,068, of which female deer and heifers — 71,818, offspring per 100 females — 59, business yield amounted to 52 fawns per 100 females. The causes of infertility are very diverse, as the natural and climatic conditions of the breeding zones have a significant influence on the reproductive function of reindeer. In Yakutia, the main population of northern domestic deer is bred in mountain taiga and tundra natural-climatic zones, so there are about 55 thousand deer in the mountain taiga zone and more than 65 thousand deer in the tundra zone. In this regard, the study of the peculiarities of the postpartum period course in domestic reindeer females, its morphophysiology, and behavioral reactions depending on the natural and climatic conditions of breeding is of great importance.

Geobotanical mapping of vegetation in "Stolby" Reserve

2002 ◽  
pp. 32-43
Author(s):  
V. I. Vlasenko ◽  
M. G. Erunova ◽  
I. S. Scerbinina
Keyword(s):  
Forest Management ◽  
Forest Tree ◽  
Forest Steppe ◽  
Topographic Map ◽  
Forest Types ◽  
Mapping Unit ◽  
Vegetation Map ◽  
North West ◽  
Mountain Part ◽  
Mountain Taiga

The reserve “Stolby” is characteristic key plot of the mountain-taiga and subtaiga-forest steppe altitudinal belts in the East Sayan Mountains, where anthropogenic influence is the least pronounced. It was founded in 1925, in 15 km southward of Krasnoyarsk city, on north-west spurs of the Western Sayan Mountains which adjoin closely to right bank of the Yenisei River bordering upon the Middle Siberian Plateau. Reserve's physiography is characterized by low mountain and middle mountain erosion-accumulation relief with absolute heights of 200-800 m. Low mountain part (200-500 m) is composed of loose sedimentary rocks. In the middle mountain part of the reserve (500-800 m) there are outcrops of sienite rocks of various stages of destruction. Vegetation and soils of the reserve change in agreement with absolute heights and climate. In low mountains spread the subtaiga and forest-steppe leaved-light needle forests on mountain grey forest soils (8.1 % of reserve territory); the middle mountain part is occupied by the light needle and dark needle taiga forests on mountain podzol soils (91.9 % of the area). As the basement for vegetation map we took the map of forest environments of reserve by T. N. Butorina compiled according to materials of land forest management of 1977 year. As the result of forest management near 2000 biogeocoenoses were distinguished. The type of biogeocoenosis, according to V. N. Sukachev, is selected as mapping unit. Biogeocoenoses were united into 70 groups of forest types, representing 21 series of associations which are reflected in the map legend (Fig. 1). The main goal of map is to show the territorial distribution of groups and series of types of biogeocoenoses in the main structural units - altitudinal be't complexes (ВПК) which are equivalents of altitudinal vegetation belts. For designation of forest tree species various kinds of hatches were used. Formations of Siberian pine, larch, pine, fir, spruce, birch and aspen forests are shown on the map. Within the ВПК arabic numerals show the groups of types of biogeocoenoses (forest types), united into series according to similarity of dominants in ground layer. The mountain-taiga ВПК includes the following series and groups of types of biogeocoenoses: dwarf-shrub-moss (1-4); sedge-moss (5-9); bilberry-low herb-moss (10-14); tall herb-sedge (15-19); tall herb-wood sour-moss (20-26); tall herb-small reed (27-32). The subtaiga-forest steppe ВГ1К embraces: shrub steppificated (33-34); shrub-forb steppificated (35-38): sedge- bilberry (39-40); sedge-forb (41-43); bracken (44); small reed-forb (45); bilberrv-forb- sedge (46, 47); forb-tall herb (48-51); tall herb (52-55); wet tall herb-small reed (56-59); fern-tall herb (60). Intrazonal phytocoenoses: brook tall herb (61-63); brook shrub (64-68); lichen-moss (69); cowberry (70). In 1999-2000 on the base of topographic map in a scale 1 : 25 000, map of forest environments, transformed by us into vegetation map of the reserve, M. J . Erunova and I. S. Scerbinina worked out an electronic variant. For this project the instrumental facilities of GIS, GeoDraw and GeoGraph (CGI IG RAS, Moscow) and programs of Geophyt were used.

Possible vegetation change in Mountain Altai under climate warming and compiling the prognosis maps

2000 ◽  
pp. 26-31
Author(s):  
E. I. Parfenova ◽  
N. M. Chebakova
Keyword(s):  
Climate Warming ◽  
Vegetation Change ◽  
Climate Change Scenario ◽  
Change Scenario ◽  
Forest Steppe ◽  
Vegetation Map ◽  
Climatic Indices ◽  
Bioclimatic Model ◽  
Open Woodland ◽  
Mountain Taiga

Global climate warming is expected to be a new factor influencing vegetation redistribution and productivity in the XXI century. In this paper possible vegetation change in Mountain Altai under global warming is evaluated. The attention is focused on forest vegetation being one of the most important natural resources for the regional economy. A bioclimatic model of correlation between vegetation and climate is used to predict vegetation change (Parfenova, Tchebakova 1998). In the model, a vegetation class — an altitudinal vegetation belt (mountain tundra, dark- coniferous subalpine open woodland, light-coniferous subgolets open woodland, dark-coniferous mountain taiga, light-coniferous mountain taiga, chern taiga, subtaiga and forest-steppe, mountain steppe) is predicted from a combination of July Temperature (JT) and Complex Moisture Index (CMI). Borders between vegetation classes are determined by certain values of these two climatic indices. Some bioclimatic regularities of vegetation distribution in Mountain Altai have been found: 1. Tundra is separated from taiga by the JT value of 8.5°C; 2. Dark- coniferous taiga is separated from light-coniferous taiga by the CMI value of 2.25; 3. Mountain steppe is separated from the forests by the CMI value of 4.0. 4. Within both dark-coniferous and light-coniferous taiga, vegetation classes are separated by the temperature factor. For the spatially model of vegetation distribution in Mountain Altai within the window 84 E — 90 E and 48 N — 52 N, the DEM (Digital Elevation Model) was used with a pixel of 1 km resolution. In a GIS Package IDRISI for Windows 2.0, climatic layers were developed based on DEM and multiple regressions relating climatic indices to physiography (elevation and latitude). Coupling the map of climatic indices with the authors' bioclimatic model resulted into a vegetation map for the region of interest. Visual comparison of the modelled vegetation map with the observed geobotanical map (Kuminova, 1960; Ogureeva, 1980) showed a good similarity between them. The new climatic indices map was developed under the climate change scenario with summer temperature increase 2°C and annual precipitation increase 20% (Menzhulin, 1998). For most mountains under such climate change scenario vegetation belts would rise 300—400 m on average. Under current climate, the dark-coniferous and light-coniferous mountain taiga forests dominate throughout Mountain Altai. The chern forests are the most productive and floristically rich and are also widely distributed. Under climate warming, light-coniferous mountain taiga may be expected to transform into subtaiga and forest-steppe and dark-coniferous taiga may be expected to transform partly into chern taiga. Other consequences of warming may happen such as the increase of forest productivity within the territories with sufficient rainfall and the increase of forest fire occurrence over territories with insufficient rainfall.

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