scholarly journals The Features of Natural and Artificial Recovery in Quarries of the Forest-Tundra Zone of Western Siberia

Author(s):  
Elena Koptseva ◽  
Alexander Egorov
Pedosphere ◽  
2022 ◽  
Vol 32 (3) ◽  
pp. 414-425
Author(s):  
Anatoly OPEKUNOV ◽  
Marina OPEKUNOVA ◽  
Stepan KUKUSHKIN ◽  
Sergey LISENKOV

2020 ◽  
Vol 13 (2) ◽  
pp. 193-203 ◽  
Author(s):  
D. V. Moskovchenko ◽  
S. P. Aref’ev ◽  
M. D. Moskovchenko ◽  
A. A. Yurtaev

2015 ◽  
Vol 51 (9) ◽  
pp. 969-978 ◽  
Author(s):  
L. L. Golubyatnikov ◽  
E. A. Zarov ◽  
V. S. Kazantsev ◽  
I. V. Filippov ◽  
G. O. Gavrilov

2020 ◽  
Vol 223 ◽  
pp. 03001
Author(s):  
Oleg Sizov ◽  
Leya Brodt ◽  
Andrey Soromotin ◽  
Nikolay Prikhodko ◽  
Ramona Heim

Wildfires are one of the main factors for landscape change in tundra ecosystems. In the absence of external mechanical impacts, tundra plant communities are relatively stable, even in the face of climatic changes. In our study, lichen cover was degraded on burnt tundra sites, which increased the permafrost thaw depth from 100 to 190 cm. In old fire scars (burnt 1980 – 1990) of the forest-tundra, vegetation cover was dominated by trees and shrubs. The soil temperature on burnt forest-tundra sites was higher in comparison to conditions of the unburnt control sites and permafrost was was not found at a depth of 2-2,3m. Dynamics of the Normalized Difference Vegetation index (NDVI) from 1986-2020 reveal that immediately after fires, vegetation recovered and biomass increased due to the development of Betula nana shrubs. In old fire scars of the forest-tundra (burnt 1980-1990), a significant increase in NDVI values was evident, in contrast to the unburnt tundra vegetation where this trend was less pronounced. We conclude that "greening" in the north of Western Siberia may occur due to fire-induced transformation processes. The role of wildfires in the advance of the treeline to the north, driven by climate change and active economic development of the Arctic, will gradually increase in future.


2017 ◽  
Vol 10 (1) ◽  
pp. 1-9
Author(s):  
Mikhail G. Golovatin ◽  
Vasiliy A. Sokolov

On the basis of the materials obtained from the studies carried out from 2000 to 2015, we present the data on distribution of the Yellow Wagtail forms in the north of Western Siberia, i.e. within the overlapping boundaries of the ranges of a complex set of several polytypical forms – Motacilla flava sensu lato. Four forms have been identified here: two forms from the group of Western Yellow Wagtails (M. f. thunbergi and M. f. beema & flava) and two forms from the group of Eastern Yellow Wagtails (M. t. plexa and M. t. tschutschensis). Western “black-headed” form M. f. thunbergi is spread in the area of the northern taiga, forest tundra and south shrub tundra within the Ob River basin, while eastern “black-headed” form M. t. plexa is found in the shrubby tundra and further to the east from the Ob River in forest tundra and northern taiga. Western “light headed” wagtails M. f. beema & flava spread as far as 65º05'N along the floodplain of the Ob River. Eastern “light-headed” wagtail M. t. tschutschensis penetrates the Taz peninsula and, through the anthropogenic sites, the north-east coast of the Yamal Peninsula, i.e. the Sabetta area as far as 71º14'N. The entire range of the Yellow Wagtail is characterized by the interchange of zones inhabited by “black-headed” (without the expressed eyebrows on males) and “light-headed” (with notable eyebrows on males or white-headed) forms from the north to the south.


2012 ◽  
Vol 45 (5) ◽  
pp. 521-531 ◽  
Author(s):  
A. V. Bogorodskaya ◽  
T. V. Ponomareva ◽  
O. A. Shapchenkova ◽  
A. S. Shishikin

2021 ◽  
Vol 14 (6) ◽  
pp. 699-708
Author(s):  
T. A. Sharapova ◽  
A. A. Gerasimova ◽  
V. I. Gontar ◽  
E. S. Babushkin ◽  
V. A. Glazunov ◽  
...  

2013 ◽  
pp. 112-124 ◽  
Author(s):  
A. R. Loshkareva ◽  
N. E. Koroleva

Large-scale vegetation mapping of key area of 1400 km2 in forest-tundra zone in the middle flow of Teriberkariver (Kola Peninsula) was conducted on the base of satellite images, topographic maps and field geobotanical investigations. Study of Landsat TM images local spectral characteristics and syntaxonomical analysis of vegetation demonstrated that satellite images with 30 m spatial resolution and 6-bands spectral resolution alone can't be used for automatical large-scale classification of forest-tundra zone vegetation. Map of vegetation in scale 1:50 000 resulted from manual processing of both hypsometry and spectral characteristic, on the base of field work points with description of vegetation. Legend of mapped units contains 2 types for tundra, 5 ones for mountain birch forest and 4 ones for wetlands. Quality and correctness of the map were verified by satellite image of extra high spatial resolution Quick Bird (0,65 m/pixel) and aerial photograph for this territory. The map illustrated that distribution of vegetation is primarily caused by unevenness of relief. Timberline lies at 220-240 m a.s.l., altitudinal distances across mountain birch forest and tundra zones are about 40-60 m, tundra vegetation occurs on moraine hills and bedrocks slopes and summits. Pounikkos flark-and-mounds, tuft-and-fen bog complexes occur from 170 to 240 m.s.l. in depressions and valleys. Proportion of tundra vegetation is about 40%, mountain birch forest – 30%, wetlands – 20%, lakes, rivers and springs take 10% of area investigated.


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