UDC: 
DOI: 
10.22389/0016-7126-2018-939-9-10-19
1 Rasputina E.A.
2 Popov N.A.
3 Chepinoga V.V.
Year: 
№: 
939
Pages: 
10-19

Sochava Institute of Geography SD RAS

1, 
3, 

Irkutsk State University

2, 
Abstract:
Bioclimatic modeling enables not only mapping the areas of certain plant or animals species on the basis of environmental characteristics, but also investigating the influence of environmental factors on the occurrence of these species. We simulated the possible habitats of three species of higher vascular plants on the northern macroslope of the Khamar-Daban ridge: Waldsteinia ternata and Anemone baicalensis, which are nemorose cladotypes and included in the Red Lists, as well as the Tussilago farfara , a ruderal species in the study area. Their distribution in Baikal region is completely or predominantly restricted by the Khamar-Daban ridge. As parameters of the environment we use the relief parameters calculated on the basis of the digital elevation model SRTM, as well as the principal components computed from the three differently seasoned cloudless satellite images Landsat 8. Using the MaxEnt software two models of potential range for each species is created, taking into account the influence of only the relief parameters, and also taking into account space images. The similarity of possible habitats for all three model species is noted. It is shown that taking into account the data of space images strongly influences the result.
The work was carried out within the framework of the state assignments of the Sochava Institute of Geography SB RAS No. 0347-2016-004 and No. 037-201-201-003, and grant of the RusFoundation for Basic Research No. 16-05-00783
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Citation:
Rasputina E.A., 
Popov N.A., 
Chepinoga V.V., 
(2018) Kartografirovanie potentsial'nyh arealov vidov rastenij na severnom makrosklone hr. Hamar-Daban (Juzhnaya Sibir') s ispol'zovaniem metoda bioklimaticheskogo modelirovaniya [Mapping possible habitats of plant species on the northern macroslope of the Khamar-Daban range (Southern Siberia) using the bioclimatic modeling method]. Geodesy and Cartography = Geodezija i kartografija, 79, 9, pp. 10-19. (In Russian). DOI: 10.22389/0016-7126-2018-939-9-10-19
ARTICLE
Received: 20.04.2018
Accepted: 06.09.2018
Published: 20.10.2018

Content

2018 September DOI:
10.22389/0016-7126-2018-939-9

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