том 13 издание 2 страницы 245-258

Ecological Niche Modeling of Galinsoga Ruiz et Pav. Species in the Native and Caucasian Part of the Invasive Ranges

Тип публикацииJournal Article
Дата публикации2022-06-22
RSCI
SCImago Q4
WOS Q4
БС2
SJR0.222
CiteScore1.1
Impact factor0.5
ISSN20751117, 20751125, 19961499
Ecology, Evolution, Behavior and Systematics
Краткое описание
Adaptations of G. quadriradiata and G. parviflora developed in the tropical climate of the Mexican mountain region determine the nature and extent of the predicted distribution of these species in the Caucasus. The complex factor of humidity is the main factor determining the potential distribution of G. quadriradiata and G. parviflora in the Caucasus (82 and 48% of the contribution in the Maxent models). Temperature and orographic ENVIREM predictors also play a significant role in the distribution of G. parviflora. The center of the predicted range of G. quadriradiata is located in the humid climate of the Black Sea coast; for G. parviflora, it is located in the relatively moist foothill and mid-mountain regions of the Western Caucasus. The lowest probability of finding both species is predicted in the lowland (steppe) regions and in the arid climate of the Eastern Caucasus. The invasive potential of G. quadriradiata and G. parviflora in the Caucasus is similar: it includes a high degree of overlapping (Schoener’s D = 0.76) and the same width (Levins’ B = 0.91 and 0.92) of ecological niches and their visual overlapping in the orthogonal space of the analyzed ecological factors. Differences in the potential spatial distribution of the species in the Caucasus are associated with their biological characteristics (greater or lesser sensitivity to water and temperature regimes and orographic factors).
Для доступа к списку цитирований публикации необходимо авторизоваться.
Для доступа к списку профилей, цитирующих публикацию, необходимо авторизоваться.

Топ-30

Журналы

1
2
3
Russian Journal of Biological Invasions
3 публикации, 60%
Sustainability
1 публикация, 20%
Forests
1 публикация, 20%
1
2
3

Издатели

1
2
3
Pleiades Publishing
3 публикации, 60%
MDPI
2 публикации, 40%
1
2
3
  • Мы не учитываем публикации, у которых нет DOI.
  • Статистика публикаций обновляется еженедельно.

Вы ученый?

Создайте профиль, чтобы получать персональные рекомендации коллег, конференций и новых статей.
 Войти с ORCID
Метрики
5
Поделиться
Цитировать
ГОСТ |
Цитировать
Pshegusov R. H., Chadaeva V. A. Ecological Niche Modeling of Galinsoga Ruiz et Pav. Species in the Native and Caucasian Part of the Invasive Ranges // Russian Journal of Biological Invasions. 2022. Vol. 13. No. 2. pp. 245-258.
ГОСТ со всеми авторами (до 50) Скопировать
Pshegusov R. H., Chadaeva V. A. Ecological Niche Modeling of Galinsoga Ruiz et Pav. Species in the Native and Caucasian Part of the Invasive Ranges // Russian Journal of Biological Invasions. 2022. Vol. 13. No. 2. pp. 245-258.
RIS |
Цитировать
TY - JOUR
DO - 10.1134/s2075111722020102
UR - https://doi.org/10.1134/s2075111722020102
TI - Ecological Niche Modeling of Galinsoga Ruiz et Pav. Species in the Native and Caucasian Part of the Invasive Ranges
T2 - Russian Journal of Biological Invasions
AU - Pshegusov, R H
AU - Chadaeva, V A
PY - 2022
DA - 2022/06/22
PB - Pleiades Publishing
SP - 245-258
IS - 2
VL - 13
SN - 2075-1117
SN - 2075-1125
SN - 1996-1499
ER -
BibTex |
Цитировать
BibTex (до 50 авторов) Скопировать
@article{2022_Pshegusov,
author = {R H Pshegusov and V A Chadaeva},
title = {Ecological Niche Modeling of Galinsoga Ruiz et Pav. Species in the Native and Caucasian Part of the Invasive Ranges},
journal = {Russian Journal of Biological Invasions},
year = {2022},
volume = {13},
publisher = {Pleiades Publishing},
month = {jun},
url = {https://doi.org/10.1134/s2075111722020102},
number = {2},
pages = {245--258},
doi = {10.1134/s2075111722020102}
}
MLA
Цитировать
Pshegusov, R. H., and V A Chadaeva. “Ecological Niche Modeling of Galinsoga Ruiz et Pav. Species in the Native and Caucasian Part of the Invasive Ranges.” Russian Journal of Biological Invasions, vol. 13, no. 2, Jun. 2022, pp. 245-258. https://doi.org/10.1134/s2075111722020102.
Ошибка в публикации?