气候变化领域集成服务门户(CCPortal): Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crep. in Egypt

CCPortal

DOI	10.1016/j.ecoinf.2019.01.003
	Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crep. in Egypt
	Abdelaal, Mohamed; Fois, Mauro; Fenu, Giuseppe; Bacchetta, Gianluigi
发表日期	2019-03-01
ISSN	1574-9541
EISSN	1878-0512
卷号	50 页码:68-75
英文摘要	Climate change poses negative impacts on plant species, particularly for those of restricted ecology and distribution range. Rosa arabica Crep., an exclusive endemic species to Saint Catherine Protectorate in Egypt, has severely declined and become critic
关键词	Environmental variables Global warming Habitat condition Saint Catherine Sinai Peninsula
学科领域	Ecology
语种	英语
WOS记录号	WOS:000461401800008
来源期刊	ECOLOGICAL INFORMATICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/78442
作者单位	Univ Cagliari, Dipartimento Sci Vita & Ambiente, CCB, Viale S Ignazio da Laconi 13, I-09123 Cagliari, Italy
推荐引用方式 GB/T 7714	Abdelaal, Mohamed,Fois, Mauro,Fenu, Giuseppe,et al. Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crep. in Egypt[J],2019,50:68-75.
APA	Abdelaal, Mohamed,Fois, Mauro,Fenu, Giuseppe,&Bacchetta, Gianluigi.(2019).Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crep. in Egypt.ECOLOGICAL INFORMATICS,50,68-75.
MLA	Abdelaal, Mohamed,et al."Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crep. in Egypt".ECOLOGICAL INFORMATICS 50(2019):68-75.