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Predicting the suitable habitats of Elwendia persica in the Indian Himalayan Region (IHR)

Articolo
Data di Pubblicazione:
2023
Citazione:
Predicting the suitable habitats of Elwendia persica in the Indian Himalayan Region (IHR) / Thakur, S., Rai, I.D., Singh, B., Dutt, H.C., Musarella, C.M.. - In: PLANT BIOSYSTEMS. - ISSN 1126-3504. - 157:4(2023), pp. 769-778. [10.1080/11263504.2023.2204090]
Abstract:
Rare, Endemic and Threatened (RET) species with naturally small populations are always at high risk of extinction, especially during the climate change process. Climate change phenomena are also identified as a strong driver in the habitat shift of many medicinal and aromatic plants (MAPs). The expected consequences of climate change are so dangerous that some key species can move to extinction. Therefore, the quest for suitable habitats of such species is taken as a challenge by various ecologists and conservationists. This study aims to predict the suitable habitats of Elwendia persica (Boiss.) Pimenov & Kljuykov, a threatened species for current and future climatic scenarios in the Indian Himalayan Region (IHR). The assessments for current and future climatic scenarios are accessed on the optimistic Representative Concentration Pathway 4.5 (RCP 4.5). The MaxENT algorithm has helped to predict the suitable habitat of the species in the study area. The model has predicted 1.12%, 2.37%, and 0.98% of the total study area as highly suitable habitats in current (2000) and future (2050 and 2070) climatic scenarios. South-eastern facing slopes are considered as the most suitable areas for the species in the Indian Himalayan Region. Our results show that suitable habitats of the species may increase upto 2050, and subsequently decrease.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Thakur, Sajan; Rai, Ishwari Datt; Singh, Bikarma; Dutt, Harish Chander; Musarella, Carmelo Maria
Autori di Ateneo:
Musarella Carmelo Maria
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/143786
Link al Full Text:
https://iris.unirc.it//retrieve/handle/20.500.12318/143786/354632/Thakur_2023_Plant%20Bios_%20Predicting_post%20print.pdf
Pubblicato in:
PLANT BIOSYSTEMS
Journal
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URL

https://www.tandfonline.com/doi/full/10.1080/11263504.2023.2204090
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