Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Ecotypification of local populations of rare species Calvatia gigantea (Basidiomycota Agaricales) in ultracontinental zones of Mongolia and Russia. / Kherlenchimeg, Nyamsuren; Baikov, Konstantin; Burenbaatar, Ganbaatar.
INTERNATIONAL CONFERENCES PLANT DIVERSITY: STATUS, TRENDS, CONSERVATION CONCEPT 2020. ed. / EV Banaev; MA Tomoshevich; YG Zaytseva. Vol. 24 University of Lueneburg, Department of Economics and Social Sciences, Research Institute on Professions, 2020. p. 00034 (BIO Web of Conferences; Vol. 24).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Ecotypification of local populations of rare species Calvatia gigantea (Basidiomycota Agaricales) in ultracontinental zones of Mongolia and Russia
AU - Kherlenchimeg, Nyamsuren
AU - Baikov, Konstantin
AU - Burenbaatar, Ganbaatar
PY - 2020
Y1 - 2020
N2 - Study of the levels of climatic comfort in localities of the rare species Calvatia gigantea from Agaricales of Basidiomycota is performed using multimodal ecoinformative approach with maximum entropy method. For numerically exact and correct assessment of the level of climate suitability, we propose recalculate the scale of probalility finding of a species into a new scale of climate suitability, with the next intervals: low suitable (1-3 points), ambivalent (4-6 points), and genuine suitable (7-9 points). Also there are two transit zones between these intervals. It has been astablished that local populations of the species in Altai territorial group differ significantly in levels of climatic comfort (3.2, 5.4, and 6.2 points). Local population near Sharangol in Khentei territorial cluster (Central Mongolia) gets 4.0 points of climate comfort, and local population in Khingan Mountains (Eastern Mongolia) gets 7.3 points, the best result in the set studied. The ecotypification of localities was carried out, according to which all the studied populations of C. gigantea are assigned to different ecotypes, since each studied locality is characterized by the unique climatic spectrum and the specific variable of the first rank.
AB - Study of the levels of climatic comfort in localities of the rare species Calvatia gigantea from Agaricales of Basidiomycota is performed using multimodal ecoinformative approach with maximum entropy method. For numerically exact and correct assessment of the level of climate suitability, we propose recalculate the scale of probalility finding of a species into a new scale of climate suitability, with the next intervals: low suitable (1-3 points), ambivalent (4-6 points), and genuine suitable (7-9 points). Also there are two transit zones between these intervals. It has been astablished that local populations of the species in Altai territorial group differ significantly in levels of climatic comfort (3.2, 5.4, and 6.2 points). Local population near Sharangol in Khentei territorial cluster (Central Mongolia) gets 4.0 points of climate comfort, and local population in Khingan Mountains (Eastern Mongolia) gets 7.3 points, the best result in the set studied. The ecotypification of localities was carried out, according to which all the studied populations of C. gigantea are assigned to different ecotypes, since each studied locality is characterized by the unique climatic spectrum and the specific variable of the first rank.
UR - https://www.mendeley.com/catalogue/53ef6b1f-ec41-3fe8-9abc-8f9e6624b4ed/
U2 - 10.1051/bioconf/20202400034
DO - 10.1051/bioconf/20202400034
M3 - Conference contribution
VL - 24
T3 - BIO Web of Conferences
SP - 00034
BT - INTERNATIONAL CONFERENCES PLANT DIVERSITY: STATUS, TRENDS, CONSERVATION CONCEPT 2020
A2 - Banaev, EV
A2 - Tomoshevich, MA
A2 - Zaytseva, YG
PB - University of Lueneburg, Department of Economics and Social Sciences, Research Institute on Professions
T2 - International Conference on Plant Diversity - Status, Trends, Conservation Concept
Y2 - 30 September 2020 through 3 October 2020
ER -
ID: 28014591