BIO Web Conf.
Volume 38, 2021Northern Asia Plant Diversity: Current Trends in Research and Conservation 2021
|Number of page(s)||7|
|Published online||28 October 2021|
Predictive distribution for Salvia aethiopis (Lamiaceae) in Middle Asian Region based on climatic modelling
Central Siberian Botanical Garden of the Siberian Branch of the Russian Academy of Sciences (CSBG SB RAS), 630090 Novosibirsk, Russia
2 Institute of Botany of the Academy of Sciences of the Republic of Uzbekistan, 100125 Uzbekistan, Tashkent
* Corresponding author: email@example.com
Geospatial investigation of distribution Salvia aethiopis L. (Lamiaceae) on the eastern limits of the range is performed using climatic modeling by MAXENT approach. Climatic conditions for the 33 local populations of the species as well as territories neighbouring to them were examined in detail, using concepts of nestle-cells and a small polygone. According to obtained results, the most suitable climatic conditions are in only two small polygons (SP) around local populations with coordinates 69.96E:42.48N and 70.03E:42.47N in central part of the area. They have 7.7 average points per a cell of 9.0 maximum. Other seven SP have average points per a cell 7.1–7.3 (quite suitable climatic conditions), all in the western part of the area, with coordinates from 66.69E to 67.69E and from 38.21N to 39.26N. High values of raw prediction are in the locations with coordinates 70.97E:42.48N (0.123; Zhualyn District in Zhambyl Region, Kazakhstan), 70.03E:42.47N (0.063; Keltemashat, Tulkibas District, Turkestan Region, Kazakhstan), 67.09E:38.34 (0.063; Yuqori Machay, Surkhandarya Region, Uzbekistan), and 69.96E:42.48N (0.054; Antonovka, Tulkibas District, Turkestan Region, Kazakhstan). These local populations of S. aethiopis should be assessed as the most likely secondary centers for further expansion of the species in the Middle Asian Region.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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