| Issue |
BIO Web Conf.
Volume 35, 2021
VIII All-Russian Conference with International Participation “MOUNTAIN ECOSYSTEMS AND THEIR COMPONENTS”, dedicated to the Year of Science and Technology in the Russian Federation
|
|
|---|---|---|
| Article Number | 00007 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/bioconf/20213500007 | |
| Published online | 17 September 2021 | |
Invasive species in the grasslands of the Central Caucasus
Tembotov Institute of Ecology of Mountain Territories of Russian Academy of Science, 360051 Nalchik, Russia
* Corresponding author: v_chadayeva@mail.ru
Biological invasions and grassland transformation are significant problems in pasture ecosystems of the Central Caucasus. The aim was to study the main patterns of invasive processes in grasslands and included identification the main vegetation parameters and abiotic factors affecting the invasion and distribution of alien species (Erigeron annuus, Ambrosia artemisiifolia, and Xanthium albinum) in plant communities. We assessed vegetation parameters of steppe grasslands with the presence of alien species within 122 model plots on plains, in foothills and low mountains (250-1000 m above sea level). We also modeled the current habitats of the species in grasslands of the Central Caucasus by using the Maxent method. The most suitable for invasion and distribution of Erigeron annuus are productive grasslands (NDVI is 0.25 and more) of the foothills and low mountains with a moderately warm humid climate (average annual temperature is 5-10°C; precipitation of the most humid quarter is 240-300 mm). The most suitable for Ambrosia artemisiifolia are medium-productive grasslands (NDVI is 0.25-0.38) of the foothills and low mountains with low vegetation coverage (65-85%) and moderately humid climate (precipitation of the most humid quarter is 225-275 mm). The most suitable for Xanthium albinum at present are dry unproductive disturbed grasslands of plains.
© 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.
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.