Projected distribution patterns of Alpinia officinarum in China under future climate scenarios: insights from optimized Maxent and Biomod2 models

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 10, 2025

Alpinia officinarum , commonly known as Galangal, is not only widely used a medicinal plant but also holds significant ornamental value in horticulture and landscape design due to its unique structure floral aesthetics China. This study evaluates the impact of current future climate change scenarios (ssp126, ssp245, ssp370, ssp585) on suitable habitats for A. A total 73 reliable distribution points were collected, 11 key environmental variables selected. The ENMeval package was optimize Maxent model, potential areas predicted combination with Biomod2. results show that optimized model accurately Under low emission (ssp126 ssp245), habitat area increased expanded towards higher latitudes. However, under high (ssp370 ssp585), significantly decreased, species range shrinking by approximately 3.7% 19.8%, respectively. Through Multivariate similarity surface (MESS) most dissimilar variable (MoD) analyses revealed variability scenarios, especially ssp585, led large-scale contraction rising temperatures unstable precipitation patterns. Changes center suitability location showed ’s located Guangxi, gradually shifts northwest, while this shift becomes more pronounced. These findings provide scientific basis conservation germplasm resources management strategies response change.

Language: Английский

Ecological suitability distribution of hop based on MaxEnt modeling

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(4)

Published: March 3, 2025

Language: Английский

MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of Coffea arabica in Yunnan, China under climate change scenario

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 28, 2024

(Arabica coffee) is an important cash crop in Yunnan, China. Ongoing climate change has made coffee production more difficult to sustain, posing challenges for the region's industry. Predictions of distribution potentially suitable habitats Arabica Yunnan could provide a theoretical basis cultivation and rational management this species.

Language: Английский