Issue |
BIO Web Conf.
Volume 24, 2020
International Conferences “Plant Diversity: Status, Trends, Conservation Concept” 2020
|
|
---|---|---|
Article Number | 00018 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/bioconf/20202400018 | |
Published online | 21 September 2020 |
Variability of Platanus orientalis leaves under a heterogeneous environment in the Hissar Valley of Tajikistan
1 Bohtar State University named after Nosir Khusrav, 735140 Kurgan-Tyube, Tajikistan
2 Tajik National University, 734025 Dushanbe, Tajikistan
3 Central Siberian Botanical Garden of the Siberian Branch of the Russian Academy of Sciences (CSBG SB RAS), 630090 Novosibirsk, Russia
4 Novosibirsk State University, 630090 Novosibirsk, Russia
* Corresponding author: s. davlato v@mail. ru
Geospatial monitoring of leaves variability has been performed for Platanus orientalis L. (Platanaceae) in Hissar Valley of Tajikistan. 17 local populations were clustered in four territorial groups and investigated by 11 morphometric variables and four indices. Six levels of variability were taken in the classification of S.A. Mamaev. All tested parameters were ranked due to the total score of variability levels. It was established, that indicators which have the combination of high, increased, and medium levels of variability, can be recommended for the purpose of geospatial monitoring. In the studied set of variables are two such ones: (1) the ratio of the length of leaf blade to the lengh of petiole, and (2) the petiole lengh. These two indicators reliably respond to point sources of industrial environmental pollution (Aluminum and Cement factories). Six indicators with domination of the middle level of variability, are of diagnostic value to differ loci inside territorial groups of populations. The results of the experiment confirmed, that set of variability levels for 8 of 15 studied parameters has diagnostic matter for geospatial monitoring of environment conditions in Hissar Valley of Tajikistan.
© The Authors, published by EDP Sciences, 2020
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.