气候变化领域集成服务门户(CCPortal): Modeling of the Potential Geographical Distribution of Three Fritillaria Species Under Climate Change

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DOI	10.3389/fpls.2021.749838
	Modeling of the Potential Geographical Distribution of Three Fritillaria Species Under Climate Change
	Jiang, Ruiping; Zou, Meng; Qin, Yu; Tan, Guodong; Huang, Sipei; Quan, Huige; Zhou, Jiayu; Liao, Hai
发表日期	2022
ISSN	1664-462X
卷号	12
英文摘要	Fritillaria species, a well-known Chinese traditional medicine for more than 2,000 years, have become rare resources due to excessive harvesting. In order to balance the economical requirement and ecological protection of Fritillaria species, it is necessary to determine (1) the important environmental variables that were responsible for the spatial distribution, (2) distribution change in response to climate change in the future, (3) ecological niche overlap between various Fritillaria species, and (4) the correlation between spatial distribution and phylogenies as well. In this study, the areas with potential ecological suitability for Fritillaria cirrhosa, Fritillaria unibracteata, and Fritillaria przewalskii were predicted using MaxEnt based on the current occurrence records and bioclimatic variables. The result indicated that precipitation and elevation were the most important environmental variables for the three species. Moreover, the current suitable habitats of F. cirrhosa, F. unibracteata, and F. przewalskii encompassed 681,951, 481,607, and 349,199 km(2), respectively. Under the scenario of the highest concentration of greenhouse gas emission (SSP585), the whole suitable habitats of F. cirrhosa and F. przewalskii reach the maximum from 2021 to 2100, while those of F. unibracteata reach the maximum from 2021 to 2100 under the scenario of moderate emission (SSP370) from 2021 to 2100. The MaxEnt data were also used to predict the ecological niche overlap, and thus high overlap occurring among three Fritillaria species was observed. The niche overlap of three Fritillaria species was related to the phylogenetic analysis despite the non-significance (P > 0.05), indicating that spatial distribution was one of the factors that contributed to the speciation diversification. Additionally, we predicted species-specific habitats to decrease habitat competition. Overall, the information obtained in this study provided new insight into the potential distribution and ecological niche of three species for the conservation and management in the future.
英文关键词	climate change; distribution; Fritillaria; machine learning methods; MaxEnt
语种	英语
WOS研究方向	Plant Sciences
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000748037400001
来源期刊	FRONTIERS IN PLANT SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280566
作者单位	Southwest Jiaotong University
推荐引用方式 GB/T 7714	Jiang, Ruiping,Zou, Meng,Qin, Yu,et al. Modeling of the Potential Geographical Distribution of Three Fritillaria Species Under Climate Change[J],2022,12.
APA	Jiang, Ruiping.,Zou, Meng.,Qin, Yu.,Tan, Guodong.,Huang, Sipei.,...&Liao, Hai.(2022).Modeling of the Potential Geographical Distribution of Three Fritillaria Species Under Climate Change.FRONTIERS IN PLANT SCIENCE,12.
MLA	Jiang, Ruiping,et al."Modeling of the Potential Geographical Distribution of Three Fritillaria Species Under Climate Change".FRONTIERS IN PLANT SCIENCE 12(2022).