Issue |
E3S Web Conf.
Volume 486, 2024
IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023)
|
|
---|---|---|
Article Number | 05005 | |
Number of page(s) | 7 | |
Section | Chemical, Ecological, Oil-and-Gas Engineering and Natural Resources | |
DOI | https://doi.org/10.1051/e3sconf/202448605005 | |
Published online | 07 February 2024 |
Spatial distribution of plant phytocomplexes on the hilly-ridge sandy territories of the Don basin
Federal Scientific Center of Agroecology, Complex Melioration and Protective Afforestation of the Russian Academy of Science, 400062, Volgograd, Russia
* Corresponding author: vlasencomarina@mail.ru
The aim of the research was to establish spatial patterns of placement of the most productive areas of pasture phytocenoses and to assess biodiversity on the sandy massifs of the Don basin. The objects of research are herbaceous plant communities on geomorphologically different sections of the Ilovlinsky sand massif. Methods of mathematical statistics of the MATLAB package and the SURFER program were used to process and analyze the results. Regression analysis was carried out by the generalized linear regression method. The dependence of the yield of pasture grasses on the projective cover is determined. The results of a statistical regression model describing this relationship in the form of a logistic function are presented. The features of the ecosystem of plant communities on open and medium-grown sands are revealed.
© The Authors, published by EDP Sciences, 2024
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.