干旱区生态环境知识资源中心(Arid): Predictive mapping of plant diversity in an arid mountain environment (Gebel Elba, Egypt)

Arid

DOI	10.1111/avsc.12582
	Predictive mapping of plant diversity in an arid mountain environment (Gebel Elba, Egypt)
	Abutaha, Maged M.; El-Khouly, Ahmed A.; Jurgens, Norbert; Oldeland, Jens
通讯作者	Abutaha, MM (corresponding author), Hamburg Univ, Inst Plant Sci & Microbiol, Hamburg, Germany.
来源期刊	APPLIED VEGETATION SCIENCE
ISSN	1402-2001
EISSN	1654-109X
出版年	2021
卷号	24 期号:2
英文摘要	Aim This study aimed to predict the alpha and beta plant diversity of an arid mountain based on environmental variables derived from remotely sensed and ground truth data. Location Gebel Elba, Egypt. Methods Based on 133 vegetation plots of 100 m(2), we calculated alpha (Shannon index) and beta [the first ordination axis of nonmetric multidimensional scaling (NMDS1)] plant diversity. Generalized additive models (GAMs) were used to map alpha and beta diversity based on various environmental variables derived from a digital elevation model, the SoilGrids dataset, and very high resolution PlanetScope satellite imagery. The predictive models for alpha and beta diversity were mapped within the northern slopes of Gebel Elba. An ANOVA post hoc test was used to compare Shannon index and NMDS1 values among plant communities. Results The selected models revealed the importance of altitude, landforms, solar insolation, catchment area, and modified soil-adjusted vegetation index for Shannon diversity and NMDS1. The GAMs explained 54.9% of Shannon diversity and 80.6% of NMDS1. The predicted diversity maps showed that the mountainous area was more diverse and substantially different from the open desert. The post-hoc test revealed a clear separation of mountain and desert vegetation. Conclusions Employing remotely sensed variables combined with ground truth data offers great opportunities for exploring spatial patterns of biodiversity. By mapping alpha and beta diversity, it was possible to determine the spatial distribution of plant diversity in Gebel Elba; the results highlighted the importance of the wadi systems and higher slopes of this mountain area. We expect our findings can be generalized to similar arid mountains in the region.
英文关键词	Acacia alpha diversity beta diversity floristic gradient Gebel Elba National Park predictive mapping protected area remote sensing satellite imagery woodland
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000667075000017
WOS关键词	BETA-DIVERSITY ; ELEVATIONAL GRADIENT ; SPECIES-DIVERSITY ; VEGETATION ; BIODIVERSITY ; RICHNESS ; ORDINATION ; ECOSYSTEM ; PATTERN ; ALPHA
WOS类目	Plant Sciences ; Ecology ; Forestry
WOS研究方向	Plant Sciences ; Environmental Sciences & Ecology ; Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349518
作者单位	[Abutaha, Maged M.; Jurgens, Norbert; Oldeland, Jens] Hamburg Univ, Inst Plant Sci & Microbiol, Hamburg, Germany; [Abutaha, Maged M.; El-Khouly, Ahmed A.] Desert Res Ctr, Dept Plant Ecol & Range Management, Cairo, Egypt
推荐引用方式 GB/T 7714	Abutaha, Maged M.,El-Khouly, Ahmed A.,Jurgens, Norbert,et al. Predictive mapping of plant diversity in an arid mountain environment (Gebel Elba, Egypt)[J],2021,24(2).
APA	Abutaha, Maged M.,El-Khouly, Ahmed A.,Jurgens, Norbert,&Oldeland, Jens.(2021).Predictive mapping of plant diversity in an arid mountain environment (Gebel Elba, Egypt).APPLIED VEGETATION SCIENCE,24(2).
MLA	Abutaha, Maged M.,et al."Predictive mapping of plant diversity in an arid mountain environment (Gebel Elba, Egypt)".APPLIED VEGETATION SCIENCE 24.2(2021).